Eli Holmes (NOAA) and Minh Phan (UW Varanasi intern)
Copernicus is the Earth Observation component of the European Union’s space programme (copernicus.eu). Copernicus data offers downloading using MOTU Service, “a Web Server allowing to handle and extract oceanographic huge volumes of data, creating the connection between heterogeneous data providers and end-users” (help.marine.copernicus.eu). More information on MOTU can be accessed here. You will need to register for a Copernicus account in order to access the data and run this notebook.
Run this once. Afterwards the authentication file will be saved to your home directory.
import copernicusmarine copernicusmarine.login()
Import necessary libraries
import xarray as xrimport pandas as pdimport numpy as npimport matplotlib.pyplot as pltimport os, glob, subprocessimport copernicusmarine
Download data
This is an example command to download one day of data. The main command is copernicus.subset(). We will be downloading these datasets: cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D and cmems_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D.
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>
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
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>
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
copernicusmarine_version :
1.3.1
The cmems_obs-oc_glo_bgc-plankton_my_l4-multi-4km_P1M product has many variables (plankton spp) and each month would be 3.8 GB. I will only download the same variables that are in the gapfree product.
The data will be processed in the 02-data-processing.ipynb notebook.