Dataset: c3s_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D#
Dataset identifier: c3s_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D
Data store: cmems
How to open this dataset in AVL JupyterLab
cmems_store = new_data_store('cmems')
ds = cmems_store.open_data('c3s_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D')
Bounding box map#
cmems_store = new_data_store('cmems')
ds = cmems_store.open_data('c3s_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D')
Map tiles and data from OpenStreetMap, under the ODbL.
Basic information#
| Parameter | Value |
|---|---|
| Bounding box longitude (°) | -180 to 180 |
| Bounding box latitude (°) | -90 to 90 |
| Time range | 1997-09-04 to 2023-03-06 |
Click here for full dataset metadata.
Variable list#
Click on a variable name to jump to the variable’s full metadata.
| Variable | Long name | Units |
|---|---|---|
| CHL | Chlorophyll-a concentration in seawater (not log-transformed), generated by as a blended combination of OCI, OCI2, OC2 and OCx algorithms, depending on water class memberships | milligram m-3 |
| MICRO | Multi-sensor Micro Phytoplankton Chlorophyll a concentration | milligram m-3 |
| MICRO_BIAS | Multi-sensor Micro Phytoplankton Chlorophyll a - bias | milligram m-3 |
| MICRO_RMSE | Multi-sensor Micro Phytoplankton Chlorophyll a - root mean square error | milligram m-3 |
| NANO | Multi-sensor Nano Phytoplankton Chlorophyll a - root mean square error | milligram m-3 |
| NANO_BIAS | Multi-sensor Nano Phytoplankton Chlorophyll a - bias | milligram m-3 |
| NANO_RMSE | Multi-sensor Nano Phytoplankton Chlorophyll a - root mean square error | milligram m-3 |
| PICO | Multi-sensor Pico Phytoplankton Chlorophyll a concentration | milligram m-3 |
| PICO_BIAS | Multi-sensor Pico Phytoplankton Chlorophyll a - bias | milligram m-3 |
| PICO_RMSE | Multi-sensor Pico Phytoplankton Chlorophyll a - root mean square error | milligram m-3 |
Full variable metadata#
CHL#
| Field | Value |
|---|---|
| long_name | Chlorophyll-a concentration in seawater (not log-transformed), generated by as a blended combination of OCI, OCI2, OC2 and OCx algorithms, depending on water class memberships |
| units | milligram m-3 |
| standard_name | mass_concentration_of_chlorophyll_a_in_sea_water |
| units_nonstandard | mg m^-3 |
| type | surface |
| valid_min | 0.01 |
| source | Sentinel-3a,Sentinel-3b-OLCIa,OLCIb-L3 |
| valid_max | 66.83439 |
MICRO#
| Field | Value |
|---|---|
| long_name | Multi-sensor Micro Phytoplankton Chlorophyll a concentration |
| units | milligram m-3 |
| standard_name | mass_concentration_of_microphytoplankton_expressed_as_chlorophyll_in_sea_water |
| type | surface |
| source | Sentinel-3a,Sentinel-3b-OLCIa,OLCIb-L3 |
| valid_max | 3.33 |
| valid_min | 0.0 |
MICRO_BIAS#
| Field | Value |
|---|---|
| long_name | Multi-sensor Micro Phytoplankton Chlorophyll a - bias |
| units | milligram m-3 |
| type | surface |
| valid_max | 3.33 |
| valid_min | 0.0 |
MICRO_RMSE#
| Field | Value |
|---|---|
| long_name | Multi-sensor Micro Phytoplankton Chlorophyll a - root mean square error |
| units | milligram m-3 |
| type | surface |
| valid_max | 3.33 |
| valid_min | 0.0 |
NANO#
| Field | Value |
|---|---|
| long_name | Multi-sensor Nano Phytoplankton Chlorophyll a - root mean square error |
| units | milligram m-3 |
| standard_name | mass_concentration_of_nanophytoplankton_expressed_as_chlorophyll_in_sea_water |
| type | surface |
| source | Sentinel-3a,Sentinel-3b-OLCIa,OLCIb-L3 |
| valid_max | 0.64 |
| valid_min | 0.0 |
NANO_BIAS#
| Field | Value |
|---|---|
| long_name | Multi-sensor Nano Phytoplankton Chlorophyll a - bias |
| units | milligram m-3 |
| type | surface |
| valid_max | 0.64 |
| valid_min | 0.0 |
NANO_RMSE#
| Field | Value |
|---|---|
| long_name | Multi-sensor Nano Phytoplankton Chlorophyll a - root mean square error |
| units | milligram m-3 |
| type | surface |
| valid_max | 0.64 |
| valid_min | 0.0 |
PICO#
| Field | Value |
|---|---|
| long_name | Multi-sensor Pico Phytoplankton Chlorophyll a concentration |
| units | milligram m-3 |
| standard_name | mass_concentration_of_picophytoplankton_expressed_as_chlorophyll_in_sea_water |
| type | surface |
| source | Sentinel-3a,Sentinel-3b-OLCIa,OLCIb-L3 |
| valid_max | 0.13 |
| valid_min | 0.0 |
PICO_BIAS#
| Field | Value |
|---|---|
| long_name | Multi-sensor Pico Phytoplankton Chlorophyll a - bias |
| units | milligram m-3 |
| type | surface |
| valid_max | 0.13 |
| valid_min | 0.0 |
PICO_RMSE#
| Field | Value |
|---|---|
| long_name | Multi-sensor Pico Phytoplankton Chlorophyll a - root mean square error |
| units | milligram m-3 |
| type | surface |
| valid_max | 0.13 |
| valid_min | 0.0 |
Full dataset metadata#
| Field | Value |
|---|---|
| contact | email: cmems@pml.ac.uk |
| Naming_authority | CMEMS |
| start_time | 00:00:00 UTC |
| stop_time | 23:59:00 UTC |
| Conventions | CF-1.7 |
| Metadata_Conventions | Unidata Dataset Discovery v1.0 |
| netcdf_file_type | NETCDF4_CLASSIC |
| Netcdf_version_id | V4 |
| project | Copernicus Marine (CMEMS) |
| references | http://marine.copernicus.eu |
| institution | Plymouth Marine Laboratory, operating as a production unit within the CMEMS OCTAC |
| distribution_statement | Copernicus Marine data license (see website) |
| cmems_production_unit | OC-PML-PLYMOUTH-UK |
| citation | The licensees should respect the Copernicus Marine usage agreement (http://marine.copernicus.eu/services-portfolio/service-commitments-and-licence/) by crediting Copernicus in a manner similar to: <Generated using E.U. Copernicus Marine Service Information, provided by OCTAC/PML production centre> |
| file_quality_index | 0s |
| product_version | v5 |
| grid_mapping | Equirectangular |
| software_version | 7.5 |
| summary | Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, MODIS Aqua, SeaWiFS LAC & GAC, VIIRS, OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer. The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP. Derived products were generally computed with the standard algorithmsthrough SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep). |
| keywords | satellite,observation,ocean,ocean colour |
| platform | Sentinel-3a,Sentinel-3b |
| start_date | 2023-03-06 |
| stop_date | 2023-03-06 |
| northernmost_latitude | 90 |
| southernmost_latitude | -90 |
| easternmost_longitude | 180 |
| westernmost_longitude | -180 |
| grid_resolution | 4KM |
| software_name | MERIS SeaDAS processor |
| product_level | l3 |
| sensor | ESA Ocean Colour Climate Initiative v6 |
| cmems_product_id | OCEANCOLOUR_GLO_BGC_L3_MY_009_107 |
| title | c3s_obs-oc_glo_bgc-plankton_my_l3-multi-4km_P1D |
| parameter_code | CHL MICRO MICRO_BIAS MICRO_RMSE NANO NANO_BIAS NANO_RMSE PICO PICO_BIAS PICO_RMSE |
| parameter | Chlorophyll-a concentration in seawater (not log-transformed), generated by as a blended combination of OCI, OCI2, OC2 and OCx algorithms, depending on water class memberships and Phytoplankton Functional Types |
| site_name | GLO |
| creation_date | 2023-03-23 |
| Creation_time | 13:46:50 UTC |