Process downloaded files

In this notebook, the downloaded daily files will be processed into a uniform 0.25 degree grid with a uniform time dimension.

import numpy as np
import pandas as pd
import xarray as xr
import matplotlib.pyplot as plt
from datetime import datetime, timedelta

zarr_grid=xr.open_dataset('../grid.nc')

zarr_time=xr.open_dataset("../time.nc")
date_start=str(zarr_time.time.min().values)[:10]
date_end=str(zarr_time.time.max().values)[:10]

# Create time.nc as
np.array([s.to_datetime64() for s in pd.date_range('1979/1/1', '2022/12/31', freq='1D')])
import xarray as xr
zarr_ds = xr.open_zarr(store="/home/jovyan/shared/data/INDIAN_OCEAN_025GRID_DAILY.zarr", consolidated=True)  # get data
zarr_time=zarr_ds['time']
zarr_time.time.encoding['units'] = 'days since 1900-01-01'
zarr_time.attrs['title']='UTC time at longitude 0 degrees'
zarr_time.to_netcdf("../time.nc")

# Load the functions
# standardize_chunk_float64(ds) is here
%run -i "~/indian-ocean-zarr/notebooks/functions.py"

Chlorophyll-a

We need to do the following for each chlorophyll dataset:

• load all the daily files
• pad the dates since data do not go back to 1979
• trim the dates to the max in the zarr file
• interpolate (coarsen in this case) to the 0.25 degree grid
• save to a zarr file for chlorophyll

# Create regridded data files otherwise run out of memory when processing
dataid="cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D"
#dataid="cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D"
import os, fnmatch
import xarray as xr
indir = f'/home/jovyan/shared/data/copernicus/{dataid}'
outdir = f'/home/jovyan/shared/data/copernicus/{dataid}_regrid'
filenames = fnmatch.filter(os.listdir(indir), '*.nc')
for filename in filenames:
    inf = os.path.join(indir, filename)
    outf = os.path.join(outdir, filename)
    ds = xr.open_dataset(inf)
    ds = ds.rename({"latitude": "lat", "longitude": "lon"})
    ds_interp = ds.interp_like(zarr_grid).compute()
    ds_interp.to_netcdf(outf)

Load the files, process and save

dataid="cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D_regrid"
chloro1 = xr.open_mfdataset(f'~/shared/data/copernicus/{dataid}/*.nc')

# Fix the time
chloro1_date_start = str(chloro1.time.min().values)[:10]
chloro_interp=chloro1.sel(time=slice(chloro1_date_start, date_end))

# Pad time back to start of the zarr time
timepad=pd.to_datetime(chloro1.time[0].values)-pd.to_datetime(zarr_time.time[0].values)
chloro_interp = chloro_interp.pad(time=(timepad.days,0))
chloro_interp['time']=zarr_time.time.values

# Fix vars to be float32 and chucks to be time 100 days
# Function defined in functions.py
chloro_interp = standardize_float64(chloro_interp)
chloro_interp = standardize_chunk(chloro_interp)

# Check that we did not make a mistake
(chloro_interp['CHL'].sel(time="2022-12-10")-chloro1['CHL'].sel(time="2022-12-10")).plot()

# fix names
chloro_interp = chloro_interp.rename({"CHL": "CHL-gapfree", "CHL_uncertainty": "CHL_uncertainty-gapfree", "flags": "CHL_flags-gapfree"})

from dask.distributed import Client;
client=Client(n_workers=4);
#client.close()

# Add full attributes to the variables
for var in chloro_interp.data_vars:
    chloro_interp[var].attrs.update(chloro_interp.attrs)

# Save data to zarr to preserve chunks
#chloro_interp.to_zarr('~/shared/data/finalized/chlorophyll-gapfree')
chloro_interp.to_zarr('/home/jovyan/shared/data/finalized/chlorophyll.zarr')

<xarray.backends.zarr.ZarrStore at 0x7fbc9e3910c0>

# test by opening
xr.open_zarr(f'~/shared/data/finalized/chlorophyll.zarr')

<xarray.Dataset> Size: 17GB
Dimensions:                  (time: 16071, lat: 177, lon: 241)
Coordinates:
  * lat                      (lat) float32 708B 32.0 31.75 31.5 ... -11.75 -12.0
  * lon                      (lon) float32 964B 42.0 42.25 42.5 ... 101.8 102.0
  * time                     (time) datetime64[ns] 129kB 1979-01-01 ... 2022-...
Data variables:
    CHL-cloud                (time, lat, lon) uint8 686MB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL-gapfree              (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL-land                 (lat, lon) uint8 43kB dask.array<chunksize=(177, 241), meta=np.ndarray>
    CHL-level3               (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL_flags-gapfree        (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL_flags-level3         (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL_uncertainty-gapfree  (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL_uncertainty-level3   (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
Attributes: (12/92)
    Conventions:                     CF-1.8, ACDD-1.3
    DPM_reference:                   GC-UD-ACRI-PUG
    IODD_reference:                  GC-UD-ACRI-PUG
    acknowledgement:                 The Licensees will ensure that original ...
    citation:                        The Licensees will ensure that original ...
    cmems_product_id:                OCEANCOLOUR_GLO_BGC_L3_MY_009_103
    ...                              ...
    time_coverage_end:               2024-04-18T02:58:23Z
    time_coverage_resolution:        P1D
    time_coverage_start:             2024-04-16T21:12:05Z
    title:                           cmems_obs-oc_glo_bgc-plankton_my_l3-mult...
    westernmost_longitude:           -180.0
    westernmost_valid_longitude:     -180.0

xarray.Dataset

• Dimensions:
  • time: 16071
  • lat: 177
  • lon: 241
• Coordinates: (3)
  • lat
    (lat)
    float32
    32.0 31.75 31.5 ... -11.75 -12.0

    long_name :

    latitude

    standard_name :

    latitude

    units :

    degrees_north

    array([ 32.  ,  31.75,  31.5 ,  31.25,  31.  ,  30.75,  30.5 ,  30.25,  30.  ,
            29.75,  29.5 ,  29.25,  29.  ,  28.75,  28.5 ,  28.25,  28.  ,  27.75,
            27.5 ,  27.25,  27.  ,  26.75,  26.5 ,  26.25,  26.  ,  25.75,  25.5 ,
            25.25,  25.  ,  24.75,  24.5 ,  24.25,  24.  ,  23.75,  23.5 ,  23.25,
            23.  ,  22.75,  22.5 ,  22.25,  22.  ,  21.75,  21.5 ,  21.25,  21.  ,
            20.75,  20.5 ,  20.25,  20.  ,  19.75,  19.5 ,  19.25,  19.  ,  18.75,
            18.5 ,  18.25,  18.  ,  17.75,  17.5 ,  17.25,  17.  ,  16.75,  16.5 ,
            16.25,  16.  ,  15.75,  15.5 ,  15.25,  15.  ,  14.75,  14.5 ,  14.25,
            14.  ,  13.75,  13.5 ,  13.25,  13.  ,  12.75,  12.5 ,  12.25,  12.  ,
            11.75,  11.5 ,  11.25,  11.  ,  10.75,  10.5 ,  10.25,  10.  ,   9.75,
             9.5 ,   9.25,   9.  ,   8.75,   8.5 ,   8.25,   8.  ,   7.75,   7.5 ,
             7.25,   7.  ,   6.75,   6.5 ,   6.25,   6.  ,   5.75,   5.5 ,   5.25,
             5.  ,   4.75,   4.5 ,   4.25,   4.  ,   3.75,   3.5 ,   3.25,   3.  ,
             2.75,   2.5 ,   2.25,   2.  ,   1.75,   1.5 ,   1.25,   1.  ,   0.75,
             0.5 ,   0.25,   0.  ,  -0.25,  -0.5 ,  -0.75,  -1.  ,  -1.25,  -1.5 ,
            -1.75,  -2.  ,  -2.25,  -2.5 ,  -2.75,  -3.  ,  -3.25,  -3.5 ,  -3.75,
            -4.  ,  -4.25,  -4.5 ,  -4.75,  -5.  ,  -5.25,  -5.5 ,  -5.75,  -6.  ,
            -6.25,  -6.5 ,  -6.75,  -7.  ,  -7.25,  -7.5 ,  -7.75,  -8.  ,  -8.25,
            -8.5 ,  -8.75,  -9.  ,  -9.25,  -9.5 ,  -9.75, -10.  , -10.25, -10.5 ,
           -10.75, -11.  , -11.25, -11.5 , -11.75, -12.  ], dtype=float32)

  • lon
    (lon)
    float32
    42.0 42.25 42.5 ... 101.8 102.0

    long_name :

    longitude

    standard_name :

    longitude

    units :

    degrees_east

    array([ 42.  ,  42.25,  42.5 , ..., 101.5 , 101.75, 102.  ], dtype=float32)

  • time
    (time)
    datetime64[ns]
    1979-01-01 ... 2022-12-31

    array(['1979-01-01T00:00:00.000000000', '1979-01-02T00:00:00.000000000',
           '1979-01-03T00:00:00.000000000', ..., '2022-12-29T00:00:00.000000000',
           '2022-12-30T00:00:00.000000000', '2022-12-31T00:00:00.000000000'],
          dtype='datetime64[ns]')

• Data variables: (8)
  • CHL-cloud
    (time, lat, lon)
    uint8
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    title :

    flag for CHL-gapfree and CHL-level3. 0 is land; 1 is cloud; 0 is water

    Array Chunk Bytes 653.78 MiB 4.07 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type uint8 numpy.ndarray

  • CHL-gapfree
    (time, lat, lon)
    float32
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    ancillary_variables :

    flags CHL_uncertainty

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L4_MY_009_104

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    modelResult

    creation_date :

    2023-11-29 UTC

    creation_time :

    01:06:50 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2023-11-29T01:06:50Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT146878S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

    easternmost_valid_longitude :

    180.00001525878906

    file_quality_index :

    0

    geospatial_bounds :

    POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

    geospatial_bounds_crs :

    EPSG:4326

    geospatial_bounds_vertical_crs :

    EPSG:5829

    geospatial_lat_max :

    89.97916412353516

    geospatial_lat_min :

    -89.97917175292969

    geospatial_lon_max :

    179.9791717529297

    geospatial_lon_min :

    -179.9791717529297

    geospatial_vertical_max :

    0

    geospatial_vertical_min :

    0

    geospatial_vertical_positive :

    up

    grid_mapping :

    Equirectangular

    grid_resolution :

    4.638312339782715

    history :

    Created using software developed at ACRI-ST

    id :

    20231121_cmems_obs-oc_glo_bgc-plankton_myint_l4-gapfree-multi-4km_P1D

    input_files_reprocessings :

    Processors versions: MODIS R2022.0NRT/VIIRSN R2022.0.1NRT/OLCIA 07.02/VIIRSJ1 R2022.0NRT/OLCIB 07.02

    institution :

    ACRI

    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

    lat_step :

    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

    long_name :

    Chlorophyll-a concentration - Mean of the binned pixels

    naming_authority :

    CMEMS

    nb_bins :

    37324800

    nb_equ_bins :

    8640

    nb_grid_bins :

    37324800

    nb_valid_bins :

    19169208

    netcdf_version_id :

    4.3.3.1 of Jul 8 2016 18:15:50 $

    northernmost_latitude :

    90.0

    northernmost_valid_latitude :

    58.08333206176758

    overall_quality :

    mode=myint

    parameter :

    Chlorophyll-a concentration

    parameter_code :

    CHL

    pct_bins :

    100.0

    pct_valid_bins :

    51.357831790123456

    period_duration_day :

    P1D

    period_end_day :

    20231121

    period_start_day :

    20231121

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L4

    product_level :

    4

    product_name :

    20231121_cmems_obs-oc_glo_bgc-plankton_myint_l4-gapfree-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

    -90.0

    southernmost_valid_latitude :

    -78.58333587646484

    standard_name :

    mass_concentration_of_chlorophyll_a_in_sea_water

    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2023-11-20 UTC

    start_time :

    15:24:55 UTC

    stop_date :

    2023-11-22 UTC

    stop_time :

    08:12:52 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT146878S

    time_coverage_end :

    2023-11-22T08:12:52Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2023-11-20T15:24:55Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D

    type :

    surface

    units :

    milligram m-3

    valid_max :

    1000.0

    valid_min :

    0.0

    westernmost_longitude :

    -180.0

    westernmost_valid_longitude :

    -180.0

    Array Chunk Bytes 2.55 GiB 16.27 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type float32 numpy.ndarray

  • CHL-land
    (lat, lon)
    uint8
    dask.array<chunksize=(177, 241), meta=np.ndarray>

    Array Chunk Bytes 41.66 kiB 41.66 kiB Shape (177, 241) (177, 241) Dask graph 1 chunks in 2 graph layers Data type uint8 numpy.ndarray

  • CHL-level3
    (time, lat, lon)
    float32
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    ancillary_variables :

    flags CHL_uncertainty

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L3_MY_009_103

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    modelResult

    creation_date :

    2024-04-25 UTC

    creation_time :

    00:47:33 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2024-04-25T00:47:33Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT107179S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

    easternmost_valid_longitude :

    180.00001525878906

    file_quality_index :

    0

    geospatial_bounds :

    POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

    geospatial_bounds_crs :

    EPSG:4326

    geospatial_bounds_vertical_crs :

    EPSG:5829

    geospatial_lat_max :

    89.97916412353516

    geospatial_lat_min :

    -89.97917175292969

    geospatial_lon_max :

    179.9791717529297

    geospatial_lon_min :

    -179.9791717529297

    geospatial_vertical_max :

    0

    geospatial_vertical_min :

    0

    geospatial_vertical_positive :

    up

    grid_mapping :

    Equirectangular

    grid_resolution :

    4.638312339782715

    history :

    Created using software developed at ACRI-ST

    id :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    input_files_reprocessings :

    Processors versions: MODIS R2022.0NRT/VIIRSN R2022.0.1NRT/OLCIA 07.04/VIIRSJ1 R2022.0NRT/OLCIB 07.04

    institution :

    ACRI

    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

    lat_step :

    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

    long_name :

    Chlorophyll-a concentration - Mean of the binned pixels

    naming_authority :

    CMEMS

    nb_bins :

    37324800

    nb_equ_bins :

    8640

    nb_grid_bins :

    37324800

    nb_valid_bins :

    9704694

    netcdf_version_id :

    4.3.3.1 of Jul 8 2016 18:15:50 $

    northernmost_latitude :

    90.0

    northernmost_valid_latitude :

    82.70833587646484

    overall_quality :

    mode=myint

    parameter :

    Chlorophyll-a concentration,Phytoplankton Functional Types

    parameter_code :

    CHL,DIATO,DINO,HAPTO,GREEN,PROKAR,PROCHLO,MICRO,NANO,PICO

    pct_bins :

    100.0

    pct_valid_bins :

    26.000659079218106

    period_duration_day :

    P1D

    period_end_day :

    20240417

    period_start_day :

    20240417

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L3

    product_level :

    3

    product_name :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395 + Xi H, Losa S N, Mangin A, Garnesson P, Bretagnon M, Demaria J, Soppa M A, Hembise Fanton d Andon O, Bracher A (2021) Global chlorophyll a concentrations of phytoplankton functional types with detailed uncertainty assessment using multi-sensor ocean color and sea surface temperature satellite products, JGR, in review.

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

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    source :

    surface observation

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    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2024-04-16 UTC

    start_time :

    21:12:05 UTC

    stop_date :

    2024-04-18 UTC

    stop_time :

    02:58:23 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT107179S

    time_coverage_end :

    2024-04-18T02:58:23Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2024-04-16T21:12:05Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D

    type :

    surface

    units :

    milligram m-3

    valid_max :

    1000.0

    valid_min :

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    westernmost_longitude :

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    westernmost_valid_longitude :

    -180.0

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    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L4_MY_009_104

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    auxiliaryInformation

    creation_date :

    2023-11-29 UTC

    creation_time :

    01:06:50 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2023-11-29T01:06:50Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT146878S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

    easternmost_valid_longitude :

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    file_quality_index :

    0

    flag_masks :

    [1, 2]

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    LAND INTERPOLATED

    geospatial_bounds :

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    geospatial_bounds_vertical_crs :

    EPSG:5829

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    geospatial_lat_min :

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    geospatial_lon_min :

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    grid_resolution :

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    history :

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    id :

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    institution :

    ACRI

    keywords :

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    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

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    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

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    Flags

    naming_authority :

    CMEMS

    nb_bins :

    37324800

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    nb_valid_bins :

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    netcdf_version_id :

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    northernmost_latitude :

    90.0

    northernmost_valid_latitude :

    58.08333206176758

    overall_quality :

    mode=myint

    parameter :

    Chlorophyll-a concentration

    parameter_code :

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    pct_bins :

    100.0

    pct_valid_bins :

    51.357831790123456

    period_duration_day :

    P1D

    period_end_day :

    20231121

    period_start_day :

    20231121

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L4

    product_level :

    4

    product_name :

    20231121_cmems_obs-oc_glo_bgc-plankton_myint_l4-gapfree-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

    -90.0

    southernmost_valid_latitude :

    -78.58333587646484

    standard_name :

    status_flag

    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2023-11-20 UTC

    start_time :

    15:24:55 UTC

    stop_date :

    2023-11-22 UTC

    stop_time :

    08:12:52 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT146878S

    time_coverage_end :

    2023-11-22T08:12:52Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2023-11-20T15:24:55Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D

    valid_max :

    3

    valid_min :

    0

    westernmost_longitude :

    -180.0

    westernmost_valid_longitude :

    -180.0

    Array Chunk Bytes 2.55 GiB 16.27 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type float32 numpy.ndarray

  • CHL_flags-level3
    (time, lat, lon)
    float32
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L3_MY_009_103

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    auxiliaryInformation

    creation_date :

    2024-04-25 UTC

    creation_time :

    00:47:33 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2024-04-25T00:47:33Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT107179S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

    easternmost_valid_longitude :

    180.00001525878906

    file_quality_index :

    0

    flag_masks :

    1

    flag_meanings :

    LAND

    geospatial_bounds :

    POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

    geospatial_bounds_crs :

    EPSG:4326

    geospatial_bounds_vertical_crs :

    EPSG:5829

    geospatial_lat_max :

    89.97916412353516

    geospatial_lat_min :

    -89.97917175292969

    geospatial_lon_max :

    179.9791717529297

    geospatial_lon_min :

    -179.9791717529297

    geospatial_vertical_max :

    0

    geospatial_vertical_min :

    0

    geospatial_vertical_positive :

    up

    grid_mapping :

    Equirectangular

    grid_resolution :

    4.638312339782715

    history :

    Created using software developed at ACRI-ST

    id :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    institution :

    ACRI

    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

    lat_step :

    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

    long_name :

    Flags

    naming_authority :

    CMEMS

    nb_bins :

    37324800

    nb_equ_bins :

    8640

    nb_grid_bins :

    37324800

    nb_valid_bins :

    9704694

    netcdf_version_id :

    4.3.3.1 of Jul 8 2016 18:15:50 $

    northernmost_latitude :

    90.0

    northernmost_valid_latitude :

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    overall_quality :

    mode=myint

    parameter :

    Chlorophyll-a concentration,Phytoplankton Functional Types

    parameter_code :

    CHL,DIATO,DINO,HAPTO,GREEN,PROKAR,PROCHLO,MICRO,NANO,PICO

    pct_bins :

    100.0

    pct_valid_bins :

    26.000659079218106

    period_duration_day :

    P1D

    period_end_day :

    20240417

    period_start_day :

    20240417

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L3

    product_level :

    3

    product_name :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395 + Xi H, Losa S N, Mangin A, Garnesson P, Bretagnon M, Demaria J, Soppa M A, Hembise Fanton d Andon O, Bracher A (2021) Global chlorophyll a concentrations of phytoplankton functional types with detailed uncertainty assessment using multi-sensor ocean color and sea surface temperature satellite products, JGR, in review.

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

    -90.0

    southernmost_valid_latitude :

    -66.33333587646484

    standard_name :

    status_flag

    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2024-04-16 UTC

    start_time :

    21:12:05 UTC

    stop_date :

    2024-04-18 UTC

    stop_time :

    02:58:23 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT107179S

    time_coverage_end :

    2024-04-18T02:58:23Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2024-04-16T21:12:05Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D

    valid_max :

    1

    valid_min :

    0

    westernmost_longitude :

    -180.0

    westernmost_valid_longitude :

    -180.0

    Array Chunk Bytes 2.55 GiB 16.27 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type float32 numpy.ndarray

  • CHL_uncertainty-gapfree
    (time, lat, lon)
    float32
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L4_MY_009_104

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    qualityInformation

    creation_date :

    2023-11-29 UTC

    creation_time :

    01:06:50 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2023-11-29T01:06:50Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT146878S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

    easternmost_valid_longitude :

    180.00001525878906

    file_quality_index :

    0

    geospatial_bounds :

    POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

    geospatial_bounds_crs :

    EPSG:4326

    geospatial_bounds_vertical_crs :

    EPSG:5829

    geospatial_lat_max :

    89.97916412353516

    geospatial_lat_min :

    -89.97917175292969

    geospatial_lon_max :

    179.9791717529297

    geospatial_lon_min :

    -179.9791717529297

    geospatial_vertical_max :

    0

    geospatial_vertical_min :

    0

    geospatial_vertical_positive :

    up

    grid_mapping :

    Equirectangular

    grid_resolution :

    4.638312339782715

    history :

    Created using software developed at ACRI-ST

    id :

    20231121_cmems_obs-oc_glo_bgc-plankton_myint_l4-gapfree-multi-4km_P1D

    institution :

    ACRI

    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

    lat_step :

    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

    long_name :

    Chlorophyll-a concentration - Uncertainty estimation

    naming_authority :

    CMEMS

    nb_bins :

    37324800

    nb_equ_bins :

    8640

    nb_grid_bins :

    37324800

    nb_valid_bins :

    19169208

    netcdf_version_id :

    4.3.3.1 of Jul 8 2016 18:15:50 $

    northernmost_latitude :

    90.0

    northernmost_valid_latitude :

    58.08333206176758

    overall_quality :

    mode=myint

    parameter :

    Chlorophyll-a concentration

    parameter_code :

    CHL

    pct_bins :

    100.0

    pct_valid_bins :

    51.357831790123456

    period_duration_day :

    P1D

    period_end_day :

    20231121

    period_start_day :

    20231121

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L4

    product_level :

    4

    product_name :

    20231121_cmems_obs-oc_glo_bgc-plankton_myint_l4-gapfree-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

    -90.0

    southernmost_valid_latitude :

    -78.58333587646484

    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2023-11-20 UTC

    start_time :

    15:24:55 UTC

    stop_date :

    2023-11-22 UTC

    stop_time :

    08:12:52 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT146878S

    time_coverage_end :

    2023-11-22T08:12:52Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2023-11-20T15:24:55Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D

    units :

    %

    valid_max :

    32767

    valid_min :

    0

    westernmost_longitude :

    -180.0

    westernmost_valid_longitude :

    -180.0

    Array Chunk Bytes 2.55 GiB 16.27 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type float32 numpy.ndarray

  • CHL_uncertainty-level3
    (time, lat, lon)
    float32
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L3_MY_009_103

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    qualityInformation

    creation_date :

    2024-04-25 UTC

    creation_time :

    00:47:33 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2024-04-25T00:47:33Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT107179S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

    easternmost_valid_longitude :

    180.00001525878906

    file_quality_index :

    0

    geospatial_bounds :

    POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

    geospatial_bounds_crs :

    EPSG:4326

    geospatial_bounds_vertical_crs :

    EPSG:5829

    geospatial_lat_max :

    89.97916412353516

    geospatial_lat_min :

    -89.97917175292969

    geospatial_lon_max :

    179.9791717529297

    geospatial_lon_min :

    -179.9791717529297

    geospatial_vertical_max :

    0

    geospatial_vertical_min :

    0

    geospatial_vertical_positive :

    up

    grid_mapping :

    Equirectangular

    grid_resolution :

    4.638312339782715

    history :

    Created using software developed at ACRI-ST

    id :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    institution :

    ACRI

    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

    lat_step :

    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

    long_name :

    Chlorophyll-a concentration - Uncertainty estimation

    naming_authority :

    CMEMS

    nb_bins :

    37324800

    nb_equ_bins :

    8640

    nb_grid_bins :

    37324800

    nb_valid_bins :

    9704694

    netcdf_version_id :

    4.3.3.1 of Jul 8 2016 18:15:50 $

    northernmost_latitude :

    90.0

    northernmost_valid_latitude :

    82.70833587646484

    overall_quality :

    mode=myint

    parameter :

    Chlorophyll-a concentration,Phytoplankton Functional Types

    parameter_code :

    CHL,DIATO,DINO,HAPTO,GREEN,PROKAR,PROCHLO,MICRO,NANO,PICO

    pct_bins :

    100.0

    pct_valid_bins :

    26.000659079218106

    period_duration_day :

    P1D

    period_end_day :

    20240417

    period_start_day :

    20240417

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L3

    product_level :

    3

    product_name :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395 + Xi H, Losa S N, Mangin A, Garnesson P, Bretagnon M, Demaria J, Soppa M A, Hembise Fanton d Andon O, Bracher A (2021) Global chlorophyll a concentrations of phytoplankton functional types with detailed uncertainty assessment using multi-sensor ocean color and sea surface temperature satellite products, JGR, in review.

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

    -90.0

    southernmost_valid_latitude :

    -66.33333587646484

    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2024-04-16 UTC

    start_time :

    21:12:05 UTC

    stop_date :

    2024-04-18 UTC

    stop_time :

    02:58:23 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT107179S

    time_coverage_end :

    2024-04-18T02:58:23Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2024-04-16T21:12:05Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D

    units :

    %

    valid_max :

    32767

    valid_min :

    0

    westernmost_longitude :

    -180.0

    westernmost_valid_longitude :

    -180.0

    Array Chunk Bytes 2.55 GiB 16.27 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type float32 numpy.ndarray

• Indexes: (3)
  • lat
    PandasIndex

    PandasIndex(Index([  32.0,  31.75,   31.5,  31.25,   31.0,  30.75,   30.5,  30.25,   30.0,
            29.75,
           ...
            -9.75,  -10.0, -10.25,  -10.5, -10.75,  -11.0, -11.25,  -11.5, -11.75,
            -12.0],
          dtype='float32', name='lat', length=177))

  • lon
    PandasIndex

    PandasIndex(Index([  42.0,  42.25,   42.5,  42.75,   43.0,  43.25,   43.5,  43.75,   44.0,
            44.25,
           ...
            99.75,  100.0, 100.25,  100.5, 100.75,  101.0, 101.25,  101.5, 101.75,
            102.0],
          dtype='float32', name='lon', length=241))

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1979-01-01', '1979-01-02', '1979-01-03', '1979-01-04',
                   '1979-01-05', '1979-01-06', '1979-01-07', '1979-01-08',
                   '1979-01-09', '1979-01-10',
                   ...
                   '2022-12-22', '2022-12-23', '2022-12-24', '2022-12-25',
                   '2022-12-26', '2022-12-27', '2022-12-28', '2022-12-29',
                   '2022-12-30', '2022-12-31'],
                  dtype='datetime64[ns]', name='time', length=16071, freq=None))

• Attributes: (92)

  Conventions :

  CF-1.8, ACDD-1.3

  DPM_reference :

  GC-UD-ACRI-PUG

  IODD_reference :

  GC-UD-ACRI-PUG

  acknowledgement :

  The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

  citation :

  The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

  cmems_product_id :

  OCEANCOLOUR_GLO_BGC_L3_MY_009_103

  cmems_production_unit :

  OC-ACRI-NICE-FR

  comment :

  average

  contact :

  servicedesk.cmems@acri-st.fr

  copernicusmarine_version :

  1.3.1

  creation_date :

  2024-04-25 UTC

  creation_time :

  00:47:33 UTC

  creator_email :

  servicedesk.cmems@acri-st.fr

  creator_name :

  ACRI

  creator_url :

  http://marine.copernicus.eu

  date_created :

  2024-04-25T00:47:33Z

  distribution_statement :

  See CMEMS Data License

  duration_time :

  PT107179S

  earth_radius :

  6378.137

  easternmost_longitude :

  180.0

  easternmost_valid_longitude :

  180.00001525878906

  file_quality_index :

  0

  geospatial_bounds :

  POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5829

  geospatial_lat_max :

  89.97916412353516

  geospatial_lat_min :

  -89.97917175292969

  geospatial_lon_max :

  179.9791717529297

  geospatial_lon_min :

  -179.9791717529297

  geospatial_vertical_max :

  0

  geospatial_vertical_min :

  0

  geospatial_vertical_positive :

  up

  grid_mapping :

  Equirectangular

  grid_resolution :

  4.638312339782715

  history :

  Created using software developed at ACRI-ST

  id :

  20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

  institution :

  ACRI

  keywords :

  EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON

  keywords_vocabulary :

  NASA Global Change Master Directory (GCMD) Science Keywords

  lat_step :

  0.0416666679084301

  license :

  See CMEMS Data License

  lon_step :

  0.0416666679084301

  naming_authority :

  CMEMS

  nb_bins :

  37324800

  nb_equ_bins :

  8640

  nb_grid_bins :

  37324800

  nb_valid_bins :

  9704694

  netcdf_version_id :

  4.3.3.1 of Jul 8 2016 18:15:50 $

  northernmost_latitude :

  90.0

  northernmost_valid_latitude :

  82.70833587646484

  overall_quality :

  mode=myint

  parameter :

  Chlorophyll-a concentration,Phytoplankton Functional Types

  parameter_code :

  CHL,DIATO,DINO,HAPTO,GREEN,PROKAR,PROCHLO,MICRO,NANO,PICO

  pct_bins :

  100.0

  pct_valid_bins :

  26.000659079218106

  period_duration_day :

  P1D

  period_end_day :

  20240417

  period_start_day :

  20240417

  platform :

  Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

  processing_level :

  L3

  product_level :

  3

  product_name :

  20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

  product_type :

  day

  project :

  CMEMS

  publication :

  Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395 + Xi H, Losa S N, Mangin A, Garnesson P, Bretagnon M, Demaria J, Soppa M A, Hembise Fanton d Andon O, Bracher A (2021) Global chlorophyll a concentrations of phytoplankton functional types with detailed uncertainty assessment using multi-sensor ocean color and sea surface temperature satellite products, JGR, in review.

  publisher_email :

  servicedesk.cmems@mercator-ocean.eu

  publisher_name :

  CMEMS

  publisher_url :

  http://marine.copernicus.eu

  references :

  http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

  registration :

  5

  sensor :

  Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

  sensor_name :

  MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

  sensor_name_list :

  MOD,VIR,OLA,VJ1,OLB

  site_name :

  GLO

  software_name :

  globcolour_l3_reproject

  software_version :

  2022.2

  source :

  surface observation

  southernmost_latitude :

  -90.0

  southernmost_valid_latitude :

  -66.33333587646484

  standard_name_vocabulary :

  NetCDF Climate and Forecast (CF) Metadata Convention

  start_date :

  2024-04-16 UTC

  start_time :

  21:12:05 UTC

  stop_date :

  2024-04-18 UTC

  stop_time :

  02:58:23 UTC

  summary :

  CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D, generated by ACRI-ST

  time_coverage_duration :

  PT107179S

  time_coverage_end :

  2024-04-18T02:58:23Z

  time_coverage_resolution :

  P1D

  time_coverage_start :

  2024-04-16T21:12:05Z

  title :

  cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D

  westernmost_longitude :

  -180.0

  westernmost_valid_longitude :

  -180.0

Repeat for the level 3 data

dataid="cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D_regrid"
chloro1 = xr.open_mfdataset(f'~/shared/data/copernicus/{dataid}/*.nc')
# Fix the time
chloro1_date_start = str(chloro1.time.min().values)[:10]
chloro_interp=chloro1.sel(time=slice(chloro1_date_start, date_end))
# Pad time back to start of the zarr time
timepad=pd.to_datetime(chloro1.time[0].values)-pd.to_datetime(zarr_time.time[0].values)
chloro_interp = chloro_interp.pad(time=(timepad.days,0))
chloro_interp['time']=zarr_time.time.values
# Fix vars to be float32 and chucks to be time 100 days
# Function defined in functions.py
chloro_interp = standardize_float64(chloro_interp)
chloro_interp = standardize_chunk(chloro_interp)
# Relabel
chloro_interp = chloro_interp.rename({"CHL": "CHL-level3", "CHL_uncertainty": "CHL_uncertainty-level3", "flags": "CHL_flags-level3"})
for var in chloro_interp.data_vars:
    chloro_interp[var].attrs.update(chloro_interp.attrs)

#chloro_interp.to_zarr(f'~/shared/data/finalized/chlorophyll-level3')
chloro_interp.to_zarr('/home/jovyan/shared/data/finalized/chlorophyll.zarr', mode='a')

<xarray.backends.zarr.ZarrStore at 0x7fbc7eca8cc0>

Create a flag for land and clouds

2 is land, 0 is water/observed, 1 is cloud

ds = xr.open_zarr(f'~/shared/data/finalized/chlorophyll.zarr')
land=np.isnan(ds['CHL-level3'].mean(dim="time"))
land = land.astype('uint8')
ds['CHL-land']=land
dcloud=np.isnan(ds['CHL-level3'])
cloud = cloud.astype('uint8')
ds['CHL-cloud']=cloud+land
ds

<xarray.Dataset> Size: 17GB
Dimensions:                  (time: 16071, lat: 177, lon: 241)
Coordinates:
  * lat                      (lat) float32 708B 32.0 31.75 31.5 ... -11.75 -12.0
  * lon                      (lon) float32 964B 42.0 42.25 42.5 ... 101.8 102.0
  * time                     (time) datetime64[ns] 129kB 1979-01-01 ... 2022-...
Data variables:
    CHL-gapfree              (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL-level3               (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL_flags-gapfree        (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL_flags-level3         (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL_uncertainty-gapfree  (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL_uncertainty-level3   (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL-land                 (lat, lon) uint8 43kB dask.array<chunksize=(177, 241), meta=np.ndarray>
    CHL-cloud                (time, lat, lon) uint8 686MB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
Attributes: (12/92)
    Conventions:                     CF-1.8, ACDD-1.3
    DPM_reference:                   GC-UD-ACRI-PUG
    IODD_reference:                  GC-UD-ACRI-PUG
    acknowledgement:                 The Licensees will ensure that original ...
    citation:                        The Licensees will ensure that original ...
    cmems_product_id:                OCEANCOLOUR_GLO_BGC_L3_MY_009_103
    ...                              ...
    time_coverage_end:               2024-04-18T02:58:23Z
    time_coverage_resolution:        P1D
    time_coverage_start:             2024-04-16T21:12:05Z
    title:                           cmems_obs-oc_glo_bgc-plankton_my_l3-mult...
    westernmost_longitude:           -180.0
    westernmost_valid_longitude:     -180.0

xarray.Dataset

• Dimensions:
  • time: 16071
  • lat: 177
  • lon: 241
• Coordinates: (3)
  • lat
    (lat)
    float32
    32.0 31.75 31.5 ... -11.75 -12.0

    long_name :

    latitude

    standard_name :

    latitude

    units :

    degrees_north

    array([ 32.  ,  31.75,  31.5 ,  31.25,  31.  ,  30.75,  30.5 ,  30.25,  30.  ,
            29.75,  29.5 ,  29.25,  29.  ,  28.75,  28.5 ,  28.25,  28.  ,  27.75,
            27.5 ,  27.25,  27.  ,  26.75,  26.5 ,  26.25,  26.  ,  25.75,  25.5 ,
            25.25,  25.  ,  24.75,  24.5 ,  24.25,  24.  ,  23.75,  23.5 ,  23.25,
            23.  ,  22.75,  22.5 ,  22.25,  22.  ,  21.75,  21.5 ,  21.25,  21.  ,
            20.75,  20.5 ,  20.25,  20.  ,  19.75,  19.5 ,  19.25,  19.  ,  18.75,
            18.5 ,  18.25,  18.  ,  17.75,  17.5 ,  17.25,  17.  ,  16.75,  16.5 ,
            16.25,  16.  ,  15.75,  15.5 ,  15.25,  15.  ,  14.75,  14.5 ,  14.25,
            14.  ,  13.75,  13.5 ,  13.25,  13.  ,  12.75,  12.5 ,  12.25,  12.  ,
            11.75,  11.5 ,  11.25,  11.  ,  10.75,  10.5 ,  10.25,  10.  ,   9.75,
             9.5 ,   9.25,   9.  ,   8.75,   8.5 ,   8.25,   8.  ,   7.75,   7.5 ,
             7.25,   7.  ,   6.75,   6.5 ,   6.25,   6.  ,   5.75,   5.5 ,   5.25,
             5.  ,   4.75,   4.5 ,   4.25,   4.  ,   3.75,   3.5 ,   3.25,   3.  ,
             2.75,   2.5 ,   2.25,   2.  ,   1.75,   1.5 ,   1.25,   1.  ,   0.75,
             0.5 ,   0.25,   0.  ,  -0.25,  -0.5 ,  -0.75,  -1.  ,  -1.25,  -1.5 ,
            -1.75,  -2.  ,  -2.25,  -2.5 ,  -2.75,  -3.  ,  -3.25,  -3.5 ,  -3.75,
            -4.  ,  -4.25,  -4.5 ,  -4.75,  -5.  ,  -5.25,  -5.5 ,  -5.75,  -6.  ,
            -6.25,  -6.5 ,  -6.75,  -7.  ,  -7.25,  -7.5 ,  -7.75,  -8.  ,  -8.25,
            -8.5 ,  -8.75,  -9.  ,  -9.25,  -9.5 ,  -9.75, -10.  , -10.25, -10.5 ,
           -10.75, -11.  , -11.25, -11.5 , -11.75, -12.  ], dtype=float32)

  • lon
    (lon)
    float32
    42.0 42.25 42.5 ... 101.8 102.0

    long_name :

    longitude

    standard_name :

    longitude

    units :

    degrees_east

    array([ 42.  ,  42.25,  42.5 , ..., 101.5 , 101.75, 102.  ], dtype=float32)

  • time
    (time)
    datetime64[ns]
    1979-01-01 ... 2022-12-31

    array(['1979-01-01T00:00:00.000000000', '1979-01-02T00:00:00.000000000',
           '1979-01-03T00:00:00.000000000', ..., '2022-12-29T00:00:00.000000000',
           '2022-12-30T00:00:00.000000000', '2022-12-31T00:00:00.000000000'],
          dtype='datetime64[ns]')

• Data variables: (8)
  • CHL-gapfree
    (time, lat, lon)
    float32
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    ancillary_variables :

    flags CHL_uncertainty

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L4_MY_009_104

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    modelResult

    creation_date :

    2023-11-29 UTC

    creation_time :

    01:06:50 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2023-11-29T01:06:50Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT146878S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

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    grid_mapping :

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    grid_resolution :

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    history :

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    id :

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    input_files_reprocessings :

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    naming_authority :

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    product_name :

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    product_type :

    day

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    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

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    standard_name_vocabulary :

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    start_date :

    2023-11-20 UTC

    start_time :

    15:24:55 UTC

    stop_date :

    2023-11-22 UTC

    stop_time :

    08:12:52 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT146878S

    time_coverage_end :

    2023-11-22T08:12:52Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2023-11-20T15:24:55Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D

    type :

    surface

    units :

    milligram m-3

    valid_max :

    1000.0

    valid_min :

    0.0

    westernmost_longitude :

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    westernmost_valid_longitude :

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    DPM_reference :

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    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    ancillary_variables :

    flags CHL_uncertainty

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L3_MY_009_103

    cmems_production_unit :

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    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    modelResult

    creation_date :

    2024-04-25 UTC

    creation_time :

    00:47:33 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2024-04-25T00:47:33Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT107179S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

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    file_quality_index :

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    POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

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    history :

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    id :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    input_files_reprocessings :

    Processors versions: MODIS R2022.0NRT/VIIRSN R2022.0.1NRT/OLCIA 07.04/VIIRSJ1 R2022.0NRT/OLCIB 07.04

    institution :

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    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

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    license :

    See CMEMS Data License

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    period_duration_day :

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    platform :

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    processing_level :

    L3

    product_level :

    3

    product_name :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395 + Xi H, Losa S N, Mangin A, Garnesson P, Bretagnon M, Demaria J, Soppa M A, Hembise Fanton d Andon O, Bracher A (2021) Global chlorophyll a concentrations of phytoplankton functional types with detailed uncertainty assessment using multi-sensor ocean color and sea surface temperature satellite products, JGR, in review.

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

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    site_name :

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    software_name :

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    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

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    southernmost_valid_latitude :

    -66.33333587646484

    standard_name :

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    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2024-04-16 UTC

    start_time :

    21:12:05 UTC

    stop_date :

    2024-04-18 UTC

    stop_time :

    02:58:23 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT107179S

    time_coverage_end :

    2024-04-18T02:58:23Z

    time_coverage_resolution :

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    time_coverage_start :

    2024-04-16T21:12:05Z

    title :

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    type :

    surface

    units :

    milligram m-3

    valid_max :

    1000.0

    valid_min :

    0.0

    westernmost_longitude :

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    westernmost_valid_longitude :

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    DPM_reference :

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    IODD_reference :

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    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L4_MY_009_104

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    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    auxiliaryInformation

    creation_date :

    2023-11-29 UTC

    creation_time :

    01:06:50 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

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    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT146878S

    earth_radius :

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    geospatial_bounds :

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    id :

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    institution :

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    keywords_vocabulary :

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    license :

    See CMEMS Data License

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    long_name :

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    nb_valid_bins :

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    netcdf_version_id :

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    northernmost_latitude :

    90.0

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    overall_quality :

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    parameter :

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    period_duration_day :

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    period_start_day :

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    platform :

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    processing_level :

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    product_level :

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    product_name :

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    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

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    source :

    surface observation

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    standard_name :

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    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

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    start_time :

    15:24:55 UTC

    stop_date :

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    stop_time :

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    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT146878S

    time_coverage_end :

    2023-11-22T08:12:52Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2023-11-20T15:24:55Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D

    valid_max :

    3

    valid_min :

    0

    westernmost_longitude :

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    westernmost_valid_longitude :

    -180.0

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  • CHL_flags-level3
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    float32
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    Conventions :

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    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L3_MY_009_103

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    auxiliaryInformation

    creation_date :

    2024-04-25 UTC

    creation_time :

    00:47:33 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2024-04-25T00:47:33Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT107179S

    earth_radius :

    6378.137

    easternmost_longitude :

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    flag_meanings :

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    geospatial_bounds :

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    geospatial_bounds_vertical_crs :

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    geospatial_lat_max :

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    history :

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    id :

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    institution :

    ACRI

    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

    lat_step :

    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

    long_name :

    Flags

    naming_authority :

    CMEMS

    nb_bins :

    37324800

    nb_equ_bins :

    8640

    nb_grid_bins :

    37324800

    nb_valid_bins :

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    netcdf_version_id :

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    northernmost_latitude :

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    northernmost_valid_latitude :

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    parameter :

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    parameter_code :

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    pct_valid_bins :

    26.000659079218106

    period_duration_day :

    P1D

    period_end_day :

    20240417

    period_start_day :

    20240417

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L3

    product_level :

    3

    product_name :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395 + Xi H, Losa S N, Mangin A, Garnesson P, Bretagnon M, Demaria J, Soppa M A, Hembise Fanton d Andon O, Bracher A (2021) Global chlorophyll a concentrations of phytoplankton functional types with detailed uncertainty assessment using multi-sensor ocean color and sea surface temperature satellite products, JGR, in review.

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

    -90.0

    southernmost_valid_latitude :

    -66.33333587646484

    standard_name :

    status_flag

    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2024-04-16 UTC

    start_time :

    21:12:05 UTC

    stop_date :

    2024-04-18 UTC

    stop_time :

    02:58:23 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT107179S

    time_coverage_end :

    2024-04-18T02:58:23Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2024-04-16T21:12:05Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D

    valid_max :

    1

    valid_min :

    0

    westernmost_longitude :

    -180.0

    westernmost_valid_longitude :

    -180.0

    Array Chunk Bytes 2.55 GiB 16.27 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type float32 numpy.ndarray

  • CHL_uncertainty-gapfree
    (time, lat, lon)
    float32
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L4_MY_009_104

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    qualityInformation

    creation_date :

    2023-11-29 UTC

    creation_time :

    01:06:50 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2023-11-29T01:06:50Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT146878S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

    easternmost_valid_longitude :

    180.00001525878906

    file_quality_index :

    0

    geospatial_bounds :

    POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

    geospatial_bounds_crs :

    EPSG:4326

    geospatial_bounds_vertical_crs :

    EPSG:5829

    geospatial_lat_max :

    89.97916412353516

    geospatial_lat_min :

    -89.97917175292969

    geospatial_lon_max :

    179.9791717529297

    geospatial_lon_min :

    -179.9791717529297

    geospatial_vertical_max :

    0

    geospatial_vertical_min :

    0

    geospatial_vertical_positive :

    up

    grid_mapping :

    Equirectangular

    grid_resolution :

    4.638312339782715

    history :

    Created using software developed at ACRI-ST

    id :

    20231121_cmems_obs-oc_glo_bgc-plankton_myint_l4-gapfree-multi-4km_P1D

    institution :

    ACRI

    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

    lat_step :

    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

    long_name :

    Chlorophyll-a concentration - Uncertainty estimation

    naming_authority :

    CMEMS

    nb_bins :

    37324800

    nb_equ_bins :

    8640

    nb_grid_bins :

    37324800

    nb_valid_bins :

    19169208

    netcdf_version_id :

    4.3.3.1 of Jul 8 2016 18:15:50 $

    northernmost_latitude :

    90.0

    northernmost_valid_latitude :

    58.08333206176758

    overall_quality :

    mode=myint

    parameter :

    Chlorophyll-a concentration

    parameter_code :

    CHL

    pct_bins :

    100.0

    pct_valid_bins :

    51.357831790123456

    period_duration_day :

    P1D

    period_end_day :

    20231121

    period_start_day :

    20231121

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L4

    product_level :

    4

    product_name :

    20231121_cmems_obs-oc_glo_bgc-plankton_myint_l4-gapfree-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

    -90.0

    southernmost_valid_latitude :

    -78.58333587646484

    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2023-11-20 UTC

    start_time :

    15:24:55 UTC

    stop_date :

    2023-11-22 UTC

    stop_time :

    08:12:52 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT146878S

    time_coverage_end :

    2023-11-22T08:12:52Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2023-11-20T15:24:55Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D

    units :

    %

    valid_max :

    32767

    valid_min :

    0

    westernmost_longitude :

    -180.0

    westernmost_valid_longitude :

    -180.0

    Array Chunk Bytes 2.55 GiB 16.27 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type float32 numpy.ndarray

  • CHL_uncertainty-level3
    (time, lat, lon)
    float32
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L3_MY_009_103

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    qualityInformation

    creation_date :

    2024-04-25 UTC

    creation_time :

    00:47:33 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2024-04-25T00:47:33Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT107179S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

    easternmost_valid_longitude :

    180.00001525878906

    file_quality_index :

    0

    geospatial_bounds :

    POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

    geospatial_bounds_crs :

    EPSG:4326

    geospatial_bounds_vertical_crs :

    EPSG:5829

    geospatial_lat_max :

    89.97916412353516

    geospatial_lat_min :

    -89.97917175292969

    geospatial_lon_max :

    179.9791717529297

    geospatial_lon_min :

    -179.9791717529297

    geospatial_vertical_max :

    0

    geospatial_vertical_min :

    0

    geospatial_vertical_positive :

    up

    grid_mapping :

    Equirectangular

    grid_resolution :

    4.638312339782715

    history :

    Created using software developed at ACRI-ST

    id :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    institution :

    ACRI

    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

    lat_step :

    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

    long_name :

    Chlorophyll-a concentration - Uncertainty estimation

    naming_authority :

    CMEMS

    nb_bins :

    37324800

    nb_equ_bins :

    8640

    nb_grid_bins :

    37324800

    nb_valid_bins :

    9704694

    netcdf_version_id :

    4.3.3.1 of Jul 8 2016 18:15:50 $

    northernmost_latitude :

    90.0

    northernmost_valid_latitude :

    82.70833587646484

    overall_quality :

    mode=myint

    parameter :

    Chlorophyll-a concentration,Phytoplankton Functional Types

    parameter_code :

    CHL,DIATO,DINO,HAPTO,GREEN,PROKAR,PROCHLO,MICRO,NANO,PICO

    pct_bins :

    100.0

    pct_valid_bins :

    26.000659079218106

    period_duration_day :

    P1D

    period_end_day :

    20240417

    period_start_day :

    20240417

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L3

    product_level :

    3

    product_name :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395 + Xi H, Losa S N, Mangin A, Garnesson P, Bretagnon M, Demaria J, Soppa M A, Hembise Fanton d Andon O, Bracher A (2021) Global chlorophyll a concentrations of phytoplankton functional types with detailed uncertainty assessment using multi-sensor ocean color and sea surface temperature satellite products, JGR, in review.

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

    -90.0

    southernmost_valid_latitude :

    -66.33333587646484

    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2024-04-16 UTC

    start_time :

    21:12:05 UTC

    stop_date :

    2024-04-18 UTC

    stop_time :

    02:58:23 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT107179S

    time_coverage_end :

    2024-04-18T02:58:23Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2024-04-16T21:12:05Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D

    units :

    %

    valid_max :

    32767

    valid_min :

    0

    westernmost_longitude :

    -180.0

    westernmost_valid_longitude :

    -180.0

    Array Chunk Bytes 2.55 GiB 16.27 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type float32 numpy.ndarray

  • CHL-land
    (lat, lon)
    uint8
    dask.array<chunksize=(177, 241), meta=np.ndarray>

    Array Chunk Bytes 41.66 kiB 41.66 kiB Shape (177, 241) (177, 241) Dask graph 1 chunks in 9 graph layers Data type uint8 numpy.ndarray

  • CHL-cloud
    (time, lat, lon)
    uint8
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Array Chunk Bytes 653.78 MiB 4.07 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 13 graph layers Data type uint8 numpy.ndarray

• Indexes: (3)
  • lat
    PandasIndex

    PandasIndex(Index([  32.0,  31.75,   31.5,  31.25,   31.0,  30.75,   30.5,  30.25,   30.0,
            29.75,
           ...
            -9.75,  -10.0, -10.25,  -10.5, -10.75,  -11.0, -11.25,  -11.5, -11.75,
            -12.0],
          dtype='float32', name='lat', length=177))

  • lon
    PandasIndex

    PandasIndex(Index([  42.0,  42.25,   42.5,  42.75,   43.0,  43.25,   43.5,  43.75,   44.0,
            44.25,
           ...
            99.75,  100.0, 100.25,  100.5, 100.75,  101.0, 101.25,  101.5, 101.75,
            102.0],
          dtype='float32', name='lon', length=241))

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1979-01-01', '1979-01-02', '1979-01-03', '1979-01-04',
                   '1979-01-05', '1979-01-06', '1979-01-07', '1979-01-08',
                   '1979-01-09', '1979-01-10',
                   ...
                   '2022-12-22', '2022-12-23', '2022-12-24', '2022-12-25',
                   '2022-12-26', '2022-12-27', '2022-12-28', '2022-12-29',
                   '2022-12-30', '2022-12-31'],
                  dtype='datetime64[ns]', name='time', length=16071, freq=None))

• Attributes: (92)

  Conventions :

  CF-1.8, ACDD-1.3

  DPM_reference :

  GC-UD-ACRI-PUG

  IODD_reference :

  GC-UD-ACRI-PUG

  acknowledgement :

  The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

  citation :

  The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

  cmems_product_id :

  OCEANCOLOUR_GLO_BGC_L3_MY_009_103

  cmems_production_unit :

  OC-ACRI-NICE-FR

  comment :

  average

  contact :

  servicedesk.cmems@acri-st.fr

  copernicusmarine_version :

  1.3.1

  creation_date :

  2024-04-25 UTC

  creation_time :

  00:47:33 UTC

  creator_email :

  servicedesk.cmems@acri-st.fr

  creator_name :

  ACRI

  creator_url :

  http://marine.copernicus.eu

  date_created :

  2024-04-25T00:47:33Z

  distribution_statement :

  See CMEMS Data License

  duration_time :

  PT107179S

  earth_radius :

  6378.137

  easternmost_longitude :

  180.0

  easternmost_valid_longitude :

  180.00001525878906

  file_quality_index :

  0

  geospatial_bounds :

  POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5829

  geospatial_lat_max :

  89.97916412353516

  geospatial_lat_min :

  -89.97917175292969

  geospatial_lon_max :

  179.9791717529297

  geospatial_lon_min :

  -179.9791717529297

  geospatial_vertical_max :

  0

  geospatial_vertical_min :

  0

  geospatial_vertical_positive :

  up

  grid_mapping :

  Equirectangular

  grid_resolution :

  4.638312339782715

  history :

  Created using software developed at ACRI-ST

  id :

  20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

  institution :

  ACRI

  keywords :

  EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON

  keywords_vocabulary :

  NASA Global Change Master Directory (GCMD) Science Keywords

  lat_step :

  0.0416666679084301

  license :

  See CMEMS Data License

  lon_step :

  0.0416666679084301

  naming_authority :

  CMEMS

  nb_bins :

  37324800

  nb_equ_bins :

  8640

  nb_grid_bins :

  37324800

  nb_valid_bins :

  9704694

  netcdf_version_id :

  4.3.3.1 of Jul 8 2016 18:15:50 $

  northernmost_latitude :

  90.0

  northernmost_valid_latitude :

  82.70833587646484

  overall_quality :

  mode=myint

  parameter :

  Chlorophyll-a concentration,Phytoplankton Functional Types

  parameter_code :

  CHL,DIATO,DINO,HAPTO,GREEN,PROKAR,PROCHLO,MICRO,NANO,PICO

  pct_bins :

  100.0

  pct_valid_bins :

  26.000659079218106

  period_duration_day :

  P1D

  period_end_day :

  20240417

  period_start_day :

  20240417

  platform :

  Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

  processing_level :

  L3

  product_level :

  3

  product_name :

  20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

  product_type :

  day

  project :

  CMEMS

  publication :

  Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395 + Xi H, Losa S N, Mangin A, Garnesson P, Bretagnon M, Demaria J, Soppa M A, Hembise Fanton d Andon O, Bracher A (2021) Global chlorophyll a concentrations of phytoplankton functional types with detailed uncertainty assessment using multi-sensor ocean color and sea surface temperature satellite products, JGR, in review.

  publisher_email :

  servicedesk.cmems@mercator-ocean.eu

  publisher_name :

  CMEMS

  publisher_url :

  http://marine.copernicus.eu

  references :

  http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

  registration :

  5

  sensor :

  Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

  sensor_name :

  MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

  sensor_name_list :

  MOD,VIR,OLA,VJ1,OLB

  site_name :

  GLO

  software_name :

  globcolour_l3_reproject

  software_version :

  2022.2

  source :

  surface observation

  southernmost_latitude :

  -90.0

  southernmost_valid_latitude :

  -66.33333587646484

  standard_name_vocabulary :

  NetCDF Climate and Forecast (CF) Metadata Convention

  start_date :

  2024-04-16 UTC

  start_time :

  21:12:05 UTC

  stop_date :

  2024-04-18 UTC

  stop_time :

  02:58:23 UTC

  summary :

  CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D, generated by ACRI-ST

  time_coverage_duration :

  PT107179S

  time_coverage_end :

  2024-04-18T02:58:23Z

  time_coverage_resolution :

  P1D

  time_coverage_start :

  2024-04-16T21:12:05Z

  title :

  cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D

  westernmost_longitude :

  -180.0

  westernmost_valid_longitude :

  -180.0

vars = ['CHL-land', 'CHL-cloud']
ds = ds[vars]
ds['CHL-land'].attrs['title'] = "flag for CHL-gapfree and CHL-level3. 2 is land; 0 is water"
ds['CHL-cloud'].attrs['title'] = "flag for CHL-gapfree and CHL-level3. 0 is land; 1 is cloud; 0 is water"
ds['CHL-land'] = ds['CHL-land']*2

ds['CHL-land'].plot()

ds['CHL-cloud'].sel(time="2020-01-13").plot()

ds.to_zarr('/home/jovyan/shared/data/finalized/chlorophyll.zarr', mode='a')

<xarray.backends.zarr.ZarrStore at 0x7fbcf171bb40>

Append variables

chloro_interp.to_zarr('/home/jovyan/shared/data/finalized/chlorophyll.zarr', mode='a')

<xarray.backends.zarr.ZarrStore at 0x7fbc7eca8a40>

xr.open_zarr('/home/jovyan/shared/data/finalized/chlorophyll.zarr')

<xarray.Dataset> Size: 17GB
Dimensions:                  (time: 16071, lat: 177, lon: 241)
Coordinates:
  * lat                      (lat) float32 708B 32.0 31.75 31.5 ... -11.75 -12.0
  * lon                      (lon) float32 964B 42.0 42.25 42.5 ... 101.8 102.0
  * time                     (time) datetime64[ns] 129kB 1979-01-01 ... 2022-...
Data variables:
    CHL-cloud                (time, lat, lon) uint8 686MB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL-gapfree              (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL-land                 (lat, lon) uint8 43kB dask.array<chunksize=(177, 241), meta=np.ndarray>
    CHL-level3               (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL_flags-gapfree        (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL_flags-level3         (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL_uncertainty-gapfree  (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
    CHL_uncertainty-level3   (time, lat, lon) float32 3GB dask.array<chunksize=(100, 177, 241), meta=np.ndarray>
Attributes: (12/92)
    Conventions:                     CF-1.8, ACDD-1.3
    DPM_reference:                   GC-UD-ACRI-PUG
    IODD_reference:                  GC-UD-ACRI-PUG
    acknowledgement:                 The Licensees will ensure that original ...
    citation:                        The Licensees will ensure that original ...
    cmems_product_id:                OCEANCOLOUR_GLO_BGC_L3_MY_009_103
    ...                              ...
    time_coverage_end:               2024-04-18T02:58:23Z
    time_coverage_resolution:        P1D
    time_coverage_start:             2024-04-16T21:12:05Z
    title:                           cmems_obs-oc_glo_bgc-plankton_my_l3-mult...
    westernmost_longitude:           -180.0
    westernmost_valid_longitude:     -180.0

xarray.Dataset

• Dimensions:
  • time: 16071
  • lat: 177
  • lon: 241
• Coordinates: (3)
  • lat
    (lat)
    float32
    32.0 31.75 31.5 ... -11.75 -12.0

    long_name :

    latitude

    standard_name :

    latitude

    units :

    degrees_north

    array([ 32.  ,  31.75,  31.5 ,  31.25,  31.  ,  30.75,  30.5 ,  30.25,  30.  ,
            29.75,  29.5 ,  29.25,  29.  ,  28.75,  28.5 ,  28.25,  28.  ,  27.75,
            27.5 ,  27.25,  27.  ,  26.75,  26.5 ,  26.25,  26.  ,  25.75,  25.5 ,
            25.25,  25.  ,  24.75,  24.5 ,  24.25,  24.  ,  23.75,  23.5 ,  23.25,
            23.  ,  22.75,  22.5 ,  22.25,  22.  ,  21.75,  21.5 ,  21.25,  21.  ,
            20.75,  20.5 ,  20.25,  20.  ,  19.75,  19.5 ,  19.25,  19.  ,  18.75,
            18.5 ,  18.25,  18.  ,  17.75,  17.5 ,  17.25,  17.  ,  16.75,  16.5 ,
            16.25,  16.  ,  15.75,  15.5 ,  15.25,  15.  ,  14.75,  14.5 ,  14.25,
            14.  ,  13.75,  13.5 ,  13.25,  13.  ,  12.75,  12.5 ,  12.25,  12.  ,
            11.75,  11.5 ,  11.25,  11.  ,  10.75,  10.5 ,  10.25,  10.  ,   9.75,
             9.5 ,   9.25,   9.  ,   8.75,   8.5 ,   8.25,   8.  ,   7.75,   7.5 ,
             7.25,   7.  ,   6.75,   6.5 ,   6.25,   6.  ,   5.75,   5.5 ,   5.25,
             5.  ,   4.75,   4.5 ,   4.25,   4.  ,   3.75,   3.5 ,   3.25,   3.  ,
             2.75,   2.5 ,   2.25,   2.  ,   1.75,   1.5 ,   1.25,   1.  ,   0.75,
             0.5 ,   0.25,   0.  ,  -0.25,  -0.5 ,  -0.75,  -1.  ,  -1.25,  -1.5 ,
            -1.75,  -2.  ,  -2.25,  -2.5 ,  -2.75,  -3.  ,  -3.25,  -3.5 ,  -3.75,
            -4.  ,  -4.25,  -4.5 ,  -4.75,  -5.  ,  -5.25,  -5.5 ,  -5.75,  -6.  ,
            -6.25,  -6.5 ,  -6.75,  -7.  ,  -7.25,  -7.5 ,  -7.75,  -8.  ,  -8.25,
            -8.5 ,  -8.75,  -9.  ,  -9.25,  -9.5 ,  -9.75, -10.  , -10.25, -10.5 ,
           -10.75, -11.  , -11.25, -11.5 , -11.75, -12.  ], dtype=float32)

  • lon
    (lon)
    float32
    42.0 42.25 42.5 ... 101.8 102.0

    long_name :

    longitude

    standard_name :

    longitude

    units :

    degrees_east

    array([ 42.  ,  42.25,  42.5 , ..., 101.5 , 101.75, 102.  ], dtype=float32)

  • time
    (time)
    datetime64[ns]
    1979-01-01 ... 2022-12-31

    array(['1979-01-01T00:00:00.000000000', '1979-01-02T00:00:00.000000000',
           '1979-01-03T00:00:00.000000000', ..., '2022-12-29T00:00:00.000000000',
           '2022-12-30T00:00:00.000000000', '2022-12-31T00:00:00.000000000'],
          dtype='datetime64[ns]')

• Data variables: (8)
  • CHL-cloud
    (time, lat, lon)
    uint8
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    title :

    flag for CHL-gapfree and CHL-level3. 0 is land; 1 is cloud; 0 is water

    Array Chunk Bytes 653.78 MiB 4.07 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type uint8 numpy.ndarray

  • CHL-gapfree
    (time, lat, lon)
    float32
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    ancillary_variables :

    flags CHL_uncertainty

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L4_MY_009_104

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    modelResult

    creation_date :

    2023-11-29 UTC

    creation_time :

    01:06:50 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2023-11-29T01:06:50Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT146878S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

    easternmost_valid_longitude :

    180.00001525878906

    file_quality_index :

    0

    geospatial_bounds :

    POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

    geospatial_bounds_crs :

    EPSG:4326

    geospatial_bounds_vertical_crs :

    EPSG:5829

    geospatial_lat_max :

    89.97916412353516

    geospatial_lat_min :

    -89.97917175292969

    geospatial_lon_max :

    179.9791717529297

    geospatial_lon_min :

    -179.9791717529297

    geospatial_vertical_max :

    0

    geospatial_vertical_min :

    0

    geospatial_vertical_positive :

    up

    grid_mapping :

    Equirectangular

    grid_resolution :

    4.638312339782715

    history :

    Created using software developed at ACRI-ST

    id :

    20231121_cmems_obs-oc_glo_bgc-plankton_myint_l4-gapfree-multi-4km_P1D

    input_files_reprocessings :

    Processors versions: MODIS R2022.0NRT/VIIRSN R2022.0.1NRT/OLCIA 07.02/VIIRSJ1 R2022.0NRT/OLCIB 07.02

    institution :

    ACRI

    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

    lat_step :

    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

    long_name :

    Chlorophyll-a concentration - Mean of the binned pixels

    naming_authority :

    CMEMS

    nb_bins :

    37324800

    nb_equ_bins :

    8640

    nb_grid_bins :

    37324800

    nb_valid_bins :

    19169208

    netcdf_version_id :

    4.3.3.1 of Jul 8 2016 18:15:50 $

    northernmost_latitude :

    90.0

    northernmost_valid_latitude :

    58.08333206176758

    overall_quality :

    mode=myint

    parameter :

    Chlorophyll-a concentration

    parameter_code :

    CHL

    pct_bins :

    100.0

    pct_valid_bins :

    51.357831790123456

    period_duration_day :

    P1D

    period_end_day :

    20231121

    period_start_day :

    20231121

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L4

    product_level :

    4

    product_name :

    20231121_cmems_obs-oc_glo_bgc-plankton_myint_l4-gapfree-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

    -90.0

    southernmost_valid_latitude :

    -78.58333587646484

    standard_name :

    mass_concentration_of_chlorophyll_a_in_sea_water

    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2023-11-20 UTC

    start_time :

    15:24:55 UTC

    stop_date :

    2023-11-22 UTC

    stop_time :

    08:12:52 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT146878S

    time_coverage_end :

    2023-11-22T08:12:52Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2023-11-20T15:24:55Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D

    type :

    surface

    units :

    milligram m-3

    valid_max :

    1000.0

    valid_min :

    0.0

    westernmost_longitude :

    -180.0

    westernmost_valid_longitude :

    -180.0

    Array Chunk Bytes 2.55 GiB 16.27 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type float32 numpy.ndarray

  • CHL-land
    (lat, lon)
    uint8
    dask.array<chunksize=(177, 241), meta=np.ndarray>

    Array Chunk Bytes 41.66 kiB 41.66 kiB Shape (177, 241) (177, 241) Dask graph 1 chunks in 2 graph layers Data type uint8 numpy.ndarray

  • CHL-level3
    (time, lat, lon)
    float32
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    ancillary_variables :

    flags CHL_uncertainty

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L3_MY_009_103

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    modelResult

    creation_date :

    2024-04-25 UTC

    creation_time :

    00:47:33 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2024-04-25T00:47:33Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT107179S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

    easternmost_valid_longitude :

    180.00001525878906

    file_quality_index :

    0

    geospatial_bounds :

    POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

    geospatial_bounds_crs :

    EPSG:4326

    geospatial_bounds_vertical_crs :

    EPSG:5829

    geospatial_lat_max :

    89.97916412353516

    geospatial_lat_min :

    -89.97917175292969

    geospatial_lon_max :

    179.9791717529297

    geospatial_lon_min :

    -179.9791717529297

    geospatial_vertical_max :

    0

    geospatial_vertical_min :

    0

    geospatial_vertical_positive :

    up

    grid_mapping :

    Equirectangular

    grid_resolution :

    4.638312339782715

    history :

    Created using software developed at ACRI-ST

    id :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    input_files_reprocessings :

    Processors versions: MODIS R2022.0NRT/VIIRSN R2022.0.1NRT/OLCIA 07.04/VIIRSJ1 R2022.0NRT/OLCIB 07.04

    institution :

    ACRI

    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

    lat_step :

    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

    long_name :

    Chlorophyll-a concentration - Mean of the binned pixels

    naming_authority :

    CMEMS

    nb_bins :

    37324800

    nb_equ_bins :

    8640

    nb_grid_bins :

    37324800

    nb_valid_bins :

    9704694

    netcdf_version_id :

    4.3.3.1 of Jul 8 2016 18:15:50 $

    northernmost_latitude :

    90.0

    northernmost_valid_latitude :

    82.70833587646484

    overall_quality :

    mode=myint

    parameter :

    Chlorophyll-a concentration,Phytoplankton Functional Types

    parameter_code :

    CHL,DIATO,DINO,HAPTO,GREEN,PROKAR,PROCHLO,MICRO,NANO,PICO

    pct_bins :

    100.0

    pct_valid_bins :

    26.000659079218106

    period_duration_day :

    P1D

    period_end_day :

    20240417

    period_start_day :

    20240417

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L3

    product_level :

    3

    product_name :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395 + Xi H, Losa S N, Mangin A, Garnesson P, Bretagnon M, Demaria J, Soppa M A, Hembise Fanton d Andon O, Bracher A (2021) Global chlorophyll a concentrations of phytoplankton functional types with detailed uncertainty assessment using multi-sensor ocean color and sea surface temperature satellite products, JGR, in review.

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

    -90.0

    southernmost_valid_latitude :

    -66.33333587646484

    standard_name :

    mass_concentration_of_chlorophyll_a_in_sea_water

    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2024-04-16 UTC

    start_time :

    21:12:05 UTC

    stop_date :

    2024-04-18 UTC

    stop_time :

    02:58:23 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT107179S

    time_coverage_end :

    2024-04-18T02:58:23Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2024-04-16T21:12:05Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D

    type :

    surface

    units :

    milligram m-3

    valid_max :

    1000.0

    valid_min :

    0.0

    westernmost_longitude :

    -180.0

    westernmost_valid_longitude :

    -180.0

    Array Chunk Bytes 2.55 GiB 16.27 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type float32 numpy.ndarray

  • CHL_flags-gapfree
    (time, lat, lon)
    float32
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L4_MY_009_104

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    auxiliaryInformation

    creation_date :

    2023-11-29 UTC

    creation_time :

    01:06:50 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2023-11-29T01:06:50Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT146878S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

    easternmost_valid_longitude :

    180.00001525878906

    file_quality_index :

    0

    flag_masks :

    [1, 2]

    flag_meanings :

    LAND INTERPOLATED

    geospatial_bounds :

    POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

    geospatial_bounds_crs :

    EPSG:4326

    geospatial_bounds_vertical_crs :

    EPSG:5829

    geospatial_lat_max :

    89.97916412353516

    geospatial_lat_min :

    -89.97917175292969

    geospatial_lon_max :

    179.9791717529297

    geospatial_lon_min :

    -179.9791717529297

    geospatial_vertical_max :

    0

    geospatial_vertical_min :

    0

    geospatial_vertical_positive :

    up

    grid_mapping :

    Equirectangular

    grid_resolution :

    4.638312339782715

    history :

    Created using software developed at ACRI-ST

    id :

    20231121_cmems_obs-oc_glo_bgc-plankton_myint_l4-gapfree-multi-4km_P1D

    institution :

    ACRI

    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

    lat_step :

    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

    long_name :

    Flags

    naming_authority :

    CMEMS

    nb_bins :

    37324800

    nb_equ_bins :

    8640

    nb_grid_bins :

    37324800

    nb_valid_bins :

    19169208

    netcdf_version_id :

    4.3.3.1 of Jul 8 2016 18:15:50 $

    northernmost_latitude :

    90.0

    northernmost_valid_latitude :

    58.08333206176758

    overall_quality :

    mode=myint

    parameter :

    Chlorophyll-a concentration

    parameter_code :

    CHL

    pct_bins :

    100.0

    pct_valid_bins :

    51.357831790123456

    period_duration_day :

    P1D

    period_end_day :

    20231121

    period_start_day :

    20231121

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L4

    product_level :

    4

    product_name :

    20231121_cmems_obs-oc_glo_bgc-plankton_myint_l4-gapfree-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

    -90.0

    southernmost_valid_latitude :

    -78.58333587646484

    standard_name :

    status_flag

    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2023-11-20 UTC

    start_time :

    15:24:55 UTC

    stop_date :

    2023-11-22 UTC

    stop_time :

    08:12:52 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT146878S

    time_coverage_end :

    2023-11-22T08:12:52Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2023-11-20T15:24:55Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D

    valid_max :

    3

    valid_min :

    0

    westernmost_longitude :

    -180.0

    westernmost_valid_longitude :

    -180.0

    Array Chunk Bytes 2.55 GiB 16.27 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type float32 numpy.ndarray

  • CHL_flags-level3
    (time, lat, lon)
    float32
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L3_MY_009_103

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    auxiliaryInformation

    creation_date :

    2024-04-25 UTC

    creation_time :

    00:47:33 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2024-04-25T00:47:33Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT107179S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

    easternmost_valid_longitude :

    180.00001525878906

    file_quality_index :

    0

    flag_masks :

    1

    flag_meanings :

    LAND

    geospatial_bounds :

    POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

    geospatial_bounds_crs :

    EPSG:4326

    geospatial_bounds_vertical_crs :

    EPSG:5829

    geospatial_lat_max :

    89.97916412353516

    geospatial_lat_min :

    -89.97917175292969

    geospatial_lon_max :

    179.9791717529297

    geospatial_lon_min :

    -179.9791717529297

    geospatial_vertical_max :

    0

    geospatial_vertical_min :

    0

    geospatial_vertical_positive :

    up

    grid_mapping :

    Equirectangular

    grid_resolution :

    4.638312339782715

    history :

    Created using software developed at ACRI-ST

    id :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    institution :

    ACRI

    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

    lat_step :

    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

    long_name :

    Flags

    naming_authority :

    CMEMS

    nb_bins :

    37324800

    nb_equ_bins :

    8640

    nb_grid_bins :

    37324800

    nb_valid_bins :

    9704694

    netcdf_version_id :

    4.3.3.1 of Jul 8 2016 18:15:50 $

    northernmost_latitude :

    90.0

    northernmost_valid_latitude :

    82.70833587646484

    overall_quality :

    mode=myint

    parameter :

    Chlorophyll-a concentration,Phytoplankton Functional Types

    parameter_code :

    CHL,DIATO,DINO,HAPTO,GREEN,PROKAR,PROCHLO,MICRO,NANO,PICO

    pct_bins :

    100.0

    pct_valid_bins :

    26.000659079218106

    period_duration_day :

    P1D

    period_end_day :

    20240417

    period_start_day :

    20240417

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L3

    product_level :

    3

    product_name :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395 + Xi H, Losa S N, Mangin A, Garnesson P, Bretagnon M, Demaria J, Soppa M A, Hembise Fanton d Andon O, Bracher A (2021) Global chlorophyll a concentrations of phytoplankton functional types with detailed uncertainty assessment using multi-sensor ocean color and sea surface temperature satellite products, JGR, in review.

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

    -90.0

    southernmost_valid_latitude :

    -66.33333587646484

    standard_name :

    status_flag

    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2024-04-16 UTC

    start_time :

    21:12:05 UTC

    stop_date :

    2024-04-18 UTC

    stop_time :

    02:58:23 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT107179S

    time_coverage_end :

    2024-04-18T02:58:23Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2024-04-16T21:12:05Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D

    valid_max :

    1

    valid_min :

    0

    westernmost_longitude :

    -180.0

    westernmost_valid_longitude :

    -180.0

    Array Chunk Bytes 2.55 GiB 16.27 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type float32 numpy.ndarray

  • CHL_uncertainty-gapfree
    (time, lat, lon)
    float32
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L4_MY_009_104

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    qualityInformation

    creation_date :

    2023-11-29 UTC

    creation_time :

    01:06:50 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2023-11-29T01:06:50Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT146878S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

    easternmost_valid_longitude :

    180.00001525878906

    file_quality_index :

    0

    geospatial_bounds :

    POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

    geospatial_bounds_crs :

    EPSG:4326

    geospatial_bounds_vertical_crs :

    EPSG:5829

    geospatial_lat_max :

    89.97916412353516

    geospatial_lat_min :

    -89.97917175292969

    geospatial_lon_max :

    179.9791717529297

    geospatial_lon_min :

    -179.9791717529297

    geospatial_vertical_max :

    0

    geospatial_vertical_min :

    0

    geospatial_vertical_positive :

    up

    grid_mapping :

    Equirectangular

    grid_resolution :

    4.638312339782715

    history :

    Created using software developed at ACRI-ST

    id :

    20231121_cmems_obs-oc_glo_bgc-plankton_myint_l4-gapfree-multi-4km_P1D

    institution :

    ACRI

    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

    lat_step :

    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

    long_name :

    Chlorophyll-a concentration - Uncertainty estimation

    naming_authority :

    CMEMS

    nb_bins :

    37324800

    nb_equ_bins :

    8640

    nb_grid_bins :

    37324800

    nb_valid_bins :

    19169208

    netcdf_version_id :

    4.3.3.1 of Jul 8 2016 18:15:50 $

    northernmost_latitude :

    90.0

    northernmost_valid_latitude :

    58.08333206176758

    overall_quality :

    mode=myint

    parameter :

    Chlorophyll-a concentration

    parameter_code :

    CHL

    pct_bins :

    100.0

    pct_valid_bins :

    51.357831790123456

    period_duration_day :

    P1D

    period_end_day :

    20231121

    period_start_day :

    20231121

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L4

    product_level :

    4

    product_name :

    20231121_cmems_obs-oc_glo_bgc-plankton_myint_l4-gapfree-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

    -90.0

    southernmost_valid_latitude :

    -78.58333587646484

    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2023-11-20 UTC

    start_time :

    15:24:55 UTC

    stop_date :

    2023-11-22 UTC

    stop_time :

    08:12:52 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT146878S

    time_coverage_end :

    2023-11-22T08:12:52Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2023-11-20T15:24:55Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D

    units :

    %

    valid_max :

    32767

    valid_min :

    0

    westernmost_longitude :

    -180.0

    westernmost_valid_longitude :

    -180.0

    Array Chunk Bytes 2.55 GiB 16.27 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type float32 numpy.ndarray

  • CHL_uncertainty-level3
    (time, lat, lon)
    float32
    dask.array<chunksize=(100, 177, 241), meta=np.ndarray>

    Conventions :

    CF-1.8, ACDD-1.3

    DPM_reference :

    GC-UD-ACRI-PUG

    IODD_reference :

    GC-UD-ACRI-PUG

    acknowledgement :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    citation :

    The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

    cmems_product_id :

    OCEANCOLOUR_GLO_BGC_L3_MY_009_103

    cmems_production_unit :

    OC-ACRI-NICE-FR

    comment :

    average

    contact :

    servicedesk.cmems@acri-st.fr

    copernicusmarine_version :

    1.3.1

    coverage_content_type :

    qualityInformation

    creation_date :

    2024-04-25 UTC

    creation_time :

    00:47:33 UTC

    creator_email :

    servicedesk.cmems@acri-st.fr

    creator_name :

    ACRI

    creator_url :

    http://marine.copernicus.eu

    date_created :

    2024-04-25T00:47:33Z

    distribution_statement :

    See CMEMS Data License

    duration_time :

    PT107179S

    earth_radius :

    6378.137

    easternmost_longitude :

    180.0

    easternmost_valid_longitude :

    180.00001525878906

    file_quality_index :

    0

    geospatial_bounds :

    POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

    geospatial_bounds_crs :

    EPSG:4326

    geospatial_bounds_vertical_crs :

    EPSG:5829

    geospatial_lat_max :

    89.97916412353516

    geospatial_lat_min :

    -89.97917175292969

    geospatial_lon_max :

    179.9791717529297

    geospatial_lon_min :

    -179.9791717529297

    geospatial_vertical_max :

    0

    geospatial_vertical_min :

    0

    geospatial_vertical_positive :

    up

    grid_mapping :

    Equirectangular

    grid_resolution :

    4.638312339782715

    history :

    Created using software developed at ACRI-ST

    id :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    institution :

    ACRI

    keywords :

    EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON

    keywords_vocabulary :

    NASA Global Change Master Directory (GCMD) Science Keywords

    lat_step :

    0.0416666679084301

    license :

    See CMEMS Data License

    lon_step :

    0.0416666679084301

    long_name :

    Chlorophyll-a concentration - Uncertainty estimation

    naming_authority :

    CMEMS

    nb_bins :

    37324800

    nb_equ_bins :

    8640

    nb_grid_bins :

    37324800

    nb_valid_bins :

    9704694

    netcdf_version_id :

    4.3.3.1 of Jul 8 2016 18:15:50 $

    northernmost_latitude :

    90.0

    northernmost_valid_latitude :

    82.70833587646484

    overall_quality :

    mode=myint

    parameter :

    Chlorophyll-a concentration,Phytoplankton Functional Types

    parameter_code :

    CHL,DIATO,DINO,HAPTO,GREEN,PROKAR,PROCHLO,MICRO,NANO,PICO

    pct_bins :

    100.0

    pct_valid_bins :

    26.000659079218106

    period_duration_day :

    P1D

    period_end_day :

    20240417

    period_start_day :

    20240417

    platform :

    Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

    processing_level :

    L3

    product_level :

    3

    product_name :

    20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

    product_type :

    day

    project :

    CMEMS

    publication :

    Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395 + Xi H, Losa S N, Mangin A, Garnesson P, Bretagnon M, Demaria J, Soppa M A, Hembise Fanton d Andon O, Bracher A (2021) Global chlorophyll a concentrations of phytoplankton functional types with detailed uncertainty assessment using multi-sensor ocean color and sea surface temperature satellite products, JGR, in review.

    publisher_email :

    servicedesk.cmems@mercator-ocean.eu

    publisher_name :

    CMEMS

    publisher_url :

    http://marine.copernicus.eu

    references :

    http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

    registration :

    5

    sensor :

    Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

    sensor_name :

    MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

    sensor_name_list :

    MOD,VIR,OLA,VJ1,OLB

    site_name :

    GLO

    software_name :

    globcolour_l3_reproject

    software_version :

    2022.2

    source :

    surface observation

    southernmost_latitude :

    -90.0

    southernmost_valid_latitude :

    -66.33333587646484

    standard_name_vocabulary :

    NetCDF Climate and Forecast (CF) Metadata Convention

    start_date :

    2024-04-16 UTC

    start_time :

    21:12:05 UTC

    stop_date :

    2024-04-18 UTC

    stop_time :

    02:58:23 UTC

    summary :

    CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D, generated by ACRI-ST

    time_coverage_duration :

    PT107179S

    time_coverage_end :

    2024-04-18T02:58:23Z

    time_coverage_resolution :

    P1D

    time_coverage_start :

    2024-04-16T21:12:05Z

    title :

    cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D

    units :

    %

    valid_max :

    32767

    valid_min :

    0

    westernmost_longitude :

    -180.0

    westernmost_valid_longitude :

    -180.0

    Array Chunk Bytes 2.55 GiB 16.27 MiB Shape (16071, 177, 241) (100, 177, 241) Dask graph 161 chunks in 2 graph layers Data type float32 numpy.ndarray

• Indexes: (3)
  • lat
    PandasIndex

    PandasIndex(Index([  32.0,  31.75,   31.5,  31.25,   31.0,  30.75,   30.5,  30.25,   30.0,
            29.75,
           ...
            -9.75,  -10.0, -10.25,  -10.5, -10.75,  -11.0, -11.25,  -11.5, -11.75,
            -12.0],
          dtype='float32', name='lat', length=177))

  • lon
    PandasIndex

    PandasIndex(Index([  42.0,  42.25,   42.5,  42.75,   43.0,  43.25,   43.5,  43.75,   44.0,
            44.25,
           ...
            99.75,  100.0, 100.25,  100.5, 100.75,  101.0, 101.25,  101.5, 101.75,
            102.0],
          dtype='float32', name='lon', length=241))

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1979-01-01', '1979-01-02', '1979-01-03', '1979-01-04',
                   '1979-01-05', '1979-01-06', '1979-01-07', '1979-01-08',
                   '1979-01-09', '1979-01-10',
                   ...
                   '2022-12-22', '2022-12-23', '2022-12-24', '2022-12-25',
                   '2022-12-26', '2022-12-27', '2022-12-28', '2022-12-29',
                   '2022-12-30', '2022-12-31'],
                  dtype='datetime64[ns]', name='time', length=16071, freq=None))

• Attributes: (92)

  Conventions :

  CF-1.8, ACDD-1.3

  DPM_reference :

  GC-UD-ACRI-PUG

  IODD_reference :

  GC-UD-ACRI-PUG

  acknowledgement :

  The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

  citation :

  The Licensees will ensure that original CMEMS products - or value added products or derivative works developed from CMEMS Products including publications and pictures - shall credit CMEMS by explicitly making mention of the originator (CMEMS) in the following manner: <Generated using CMEMS Products, production centre ACRI-ST>

  cmems_product_id :

  OCEANCOLOUR_GLO_BGC_L3_MY_009_103

  cmems_production_unit :

  OC-ACRI-NICE-FR

  comment :

  average

  contact :

  servicedesk.cmems@acri-st.fr

  copernicusmarine_version :

  1.3.1

  creation_date :

  2024-04-25 UTC

  creation_time :

  00:47:33 UTC

  creator_email :

  servicedesk.cmems@acri-st.fr

  creator_name :

  ACRI

  creator_url :

  http://marine.copernicus.eu

  date_created :

  2024-04-25T00:47:33Z

  distribution_statement :

  See CMEMS Data License

  duration_time :

  PT107179S

  earth_radius :

  6378.137

  easternmost_longitude :

  180.0

  easternmost_valid_longitude :

  180.00001525878906

  file_quality_index :

  0

  geospatial_bounds :

  POLYGON ((90.000000 -180.000000, 90.000000 180.000000, -90.000000 180.000000, -90.000000 -180.000000, 90.000000 -180.000000))

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5829

  geospatial_lat_max :

  89.97916412353516

  geospatial_lat_min :

  -89.97917175292969

  geospatial_lon_max :

  179.9791717529297

  geospatial_lon_min :

  -179.9791717529297

  geospatial_vertical_max :

  0

  geospatial_vertical_min :

  0

  geospatial_vertical_positive :

  up

  grid_mapping :

  Equirectangular

  grid_resolution :

  4.638312339782715

  history :

  Created using software developed at ACRI-ST

  id :

  20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

  institution :

  ACRI

  keywords :

  EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON

  keywords_vocabulary :

  NASA Global Change Master Directory (GCMD) Science Keywords

  lat_step :

  0.0416666679084301

  license :

  See CMEMS Data License

  lon_step :

  0.0416666679084301

  naming_authority :

  CMEMS

  nb_bins :

  37324800

  nb_equ_bins :

  8640

  nb_grid_bins :

  37324800

  nb_valid_bins :

  9704694

  netcdf_version_id :

  4.3.3.1 of Jul 8 2016 18:15:50 $

  northernmost_latitude :

  90.0

  northernmost_valid_latitude :

  82.70833587646484

  overall_quality :

  mode=myint

  parameter :

  Chlorophyll-a concentration,Phytoplankton Functional Types

  parameter_code :

  CHL,DIATO,DINO,HAPTO,GREEN,PROKAR,PROCHLO,MICRO,NANO,PICO

  pct_bins :

  100.0

  pct_valid_bins :

  26.000659079218106

  period_duration_day :

  P1D

  period_end_day :

  20240417

  period_start_day :

  20240417

  platform :

  Aqua,Suomi-NPP,Sentinel-3a,JPSS-1 (NOAA-20),Sentinel-3b

  processing_level :

  L3

  product_level :

  3

  product_name :

  20240417_cmems_obs-oc_glo_bgc-plankton_myint_l3-multi-4km_P1D

  product_type :

  day

  project :

  CMEMS

  publication :

  Gohin, F., Druon, J. N., Lampert, L. (2002). A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International journal of remote sensing, 23(8), 1639-1661 + Hu, C., Lee, Z., Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research, 117(C1). doi: 10.1029/2011jc007395 + Xi H, Losa S N, Mangin A, Garnesson P, Bretagnon M, Demaria J, Soppa M A, Hembise Fanton d Andon O, Bracher A (2021) Global chlorophyll a concentrations of phytoplankton functional types with detailed uncertainty assessment using multi-sensor ocean color and sea surface temperature satellite products, JGR, in review.

  publisher_email :

  servicedesk.cmems@mercator-ocean.eu

  publisher_name :

  CMEMS

  publisher_url :

  http://marine.copernicus.eu

  references :

  http://www.globcolour.info GlobColour has been originally funded by ESA with data from ESA, NASA, NOAA and GeoEye. This version has received funding from the European Community s Seventh Framework Programme ([FP7/2007-2013]) under grant agreement n. 282723 [OSS2015 project].

  registration :

  5

  sensor :

  Moderate Resolution Imaging Spectroradiometer,Visible Infrared Imaging Radiometer Suite,Ocean and Land Colour Instrument

  sensor_name :

  MODISA,VIIRSN,OLCIa,VIIRSJ1,OLCIb

  sensor_name_list :

  MOD,VIR,OLA,VJ1,OLB

  site_name :

  GLO

  software_name :

  globcolour_l3_reproject

  software_version :

  2022.2

  source :

  surface observation

  southernmost_latitude :

  -90.0

  southernmost_valid_latitude :

  -66.33333587646484

  standard_name_vocabulary :

  NetCDF Climate and Forecast (CF) Metadata Convention

  start_date :

  2024-04-16 UTC

  start_time :

  21:12:05 UTC

  stop_date :

  2024-04-18 UTC

  stop_time :

  02:58:23 UTC

  summary :

  CMEMS product: cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D, generated by ACRI-ST

  time_coverage_duration :

  PT107179S

  time_coverage_end :

  2024-04-18T02:58:23Z

  time_coverage_resolution :

  P1D

  time_coverage_start :

  2024-04-16T21:12:05Z

  title :

  cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D

  westernmost_longitude :

  -180.0

  westernmost_valid_longitude :

  -180.0