Dataset: ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 3.1#
Dataset identifier: esacci.OC.day.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.3-1.geographic
Data store: cciodp
How to open this dataset in AVL JupyterLab
cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.OC.day.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.3-1.geographic')
Bounding box map#
cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.OC.day.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.3-1.geographic')
Map tiles and data from OpenStreetMap, under the ODbL.
Basic information#
| Parameter | Value |
|---|---|
| Bounding box longitude (°) | -180.0 to 180.0 |
| Bounding box latitude (°) | -90.0 to 90.0 |
| Time range | 1997-09-03 to 2016-12-31 |
| Time period | 1D |
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 |
|---|---|---|
| MERIS_nobs | Count of the number of observations from the MERIS sensor contributing to this bin cell | [none] |
| MODISA_nobs | Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell | [none] |
| SeaWiFS_nobs | Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell | [none] |
| VIIRS_nobs | Count of the number of observations from the VIIRS sensor contributing to this bin cell | [none] |
| chlor_a | Chlorophyll-a concentration in seawater (not log-transformed), generated by SeaDAS using a blended combination of OCI (OC4v6 + Hu's CI), OC3 and OC5, depending on water class memberships | milligram m-3 |
| chlor_a_log10_bias | Bias of log10-transformed chlorophyll-a concentration in seawater. | [none] |
| chlor_a_log10_rmsd | Root-mean-square-difference of log10-transformed chlorophyll-a concentration in seawater. | [none] |
| total_nobs | Count of the total number of observations contributing to this bin cell | [none] |
Full variable metadata#
MERIS_nobs#
| Field | Value |
|---|---|
| long_name | Count of the number of observations from the MERIS sensor contributing to this bin cell |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 262467993600 |
| shape | 7032, 4320, 8640 |
| chunk_sizes | 1, 270, 270 |
| file_chunk_sizes | 1, 270, 270 |
| data_type | float32 |
| dimensions | time, lat, lon |
| file_dimensions | time, lat, lon |
MODISA_nobs#
| Field | Value |
|---|---|
| long_name | Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 262467993600 |
| shape | 7032, 4320, 8640 |
| chunk_sizes | 1, 270, 270 |
| file_chunk_sizes | 1, 270, 270 |
| data_type | float32 |
| dimensions | time, lat, lon |
| file_dimensions | time, lat, lon |
SeaWiFS_nobs#
| Field | Value |
|---|---|
| long_name | Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 262467993600 |
| shape | 7032, 4320, 8640 |
| chunk_sizes | 1, 270, 270 |
| file_chunk_sizes | 1, 270, 270 |
| data_type | float32 |
| dimensions | time, lat, lon |
| file_dimensions | time, lat, lon |
VIIRS_nobs#
| Field | Value |
|---|---|
| long_name | Count of the number of observations from the VIIRS sensor contributing to this bin cell |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 262467993600 |
| shape | 7032, 4320, 8640 |
| chunk_sizes | 1, 270, 270 |
| file_chunk_sizes | 1, 270, 270 |
| data_type | float32 |
| dimensions | time, lat, lon |
| file_dimensions | time, lat, lon |
chlor_a#
| Field | Value |
|---|---|
| long_name | Chlorophyll-a concentration in seawater (not log-transformed), generated by SeaDAS using a blended combination of OCI (OC4v6 + Hu's CI), OC3 and OC5, depending on water class memberships |
| units | milligram m-3 |
| ancillary_variables | chlor_a_log10_rmsd chlor_a_log10_bias |
| grid_mapping | crs |
| standard_name | mass_concentration_of_chlorophyll_a_in_sea_water |
| units_nonstandard | mg m^-3 |
| parameter_vocab_uri | http://vocab.nerc.ac.uk/collection/P04/current/ |
| orig_data_type | float32 |
| fill_value | 9.96921e+36 |
| size | 262467993600 |
| shape | 7032, 4320, 8640 |
| chunk_sizes | 1, 270, 270 |
| file_chunk_sizes | 1, 270, 270 |
| data_type | float32 |
| dimensions | time, lat, lon |
| file_dimensions | time, lat, lon |
chlor_a_log10_bias#
| Field | Value |
|---|---|
| grid_mapping | crs |
| comment | Uncertainty lookups derived from file: /data/datasets/CCI/v3.1-production/stage09b-uncertainty_tables/chlor_a/cci_chla_bias.dat |
| ref | http://www.esa-oceancolour-cci.org/?q=webfm_send/581 |
| rel | uncertainty |
| long_name | Bias of log10-transformed chlorophyll-a concentration in seawater. |
| orig_data_type | float32 |
| fill_value | 9.96921e+36 |
| size | 262467993600 |
| shape | 7032, 4320, 8640 |
| chunk_sizes | 1, 270, 270 |
| file_chunk_sizes | 1, 270, 270 |
| data_type | float32 |
| dimensions | time, lat, lon |
| file_dimensions | time, lat, lon |
chlor_a_log10_rmsd#
| Field | Value |
|---|---|
| rel | uncertainty |
| comment | Uncertainty lookups derived from file: /data/datasets/CCI/v3.1-production/stage09b-uncertainty_tables/chlor_a/cci_chla_rmsd.dat |
| ref | http://www.esa-oceancolour-cci.org/?q=webfm_send/581 |
| long_name | Root-mean-square-difference of log10-transformed chlorophyll-a concentration in seawater. |
| grid_mapping | crs |
| orig_data_type | float32 |
| fill_value | 9.96921e+36 |
| size | 262467993600 |
| shape | 7032, 4320, 8640 |
| chunk_sizes | 1, 270, 270 |
| file_chunk_sizes | 1, 270, 270 |
| data_type | float32 |
| dimensions | time, lat, lon |
| file_dimensions | time, lat, lon |
crs#
| Field | Value |
|---|---|
| grid_mapping_name | latitude_longitude |
| orig_data_type | int32 |
| fill_value | 9223372036854775807 |
| size | 7032 |
| shape | 7032 |
| chunk_sizes | 1 |
| file_chunk_sizes | 1 |
| data_type | int64 |
| dimensions | time |
| file_dimensions | time |
total_nobs#
| Field | Value |
|---|---|
| long_name | Count of the total number of observations contributing to this bin cell |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 262467993600 |
| shape | 7032, 4320, 8640 |
| chunk_sizes | 1, 270, 270 |
| file_chunk_sizes | 1, 270, 270 |
| data_type | float32 |
| dimensions | time, lat, lon |
| file_dimensions | time, lat, lon |
Full dataset metadata#
| Field | Value |
|---|---|
| comment | See summary attribute |
| processing_level | L3S |
| project | Climate Change Initiative - European Space Agency |
| references | http://www.esa-oceancolour-cci.org/ |
| source | NASA SeaWiFS L2 R2014.0 LAC and GAC, MODIS-Aqua L1A, MERIS L1B 3rd reprocessing inc OCL corrections, NASA VIIRS L2 R2014.0.1 (data identical to R2014.0.2) |
| title | ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 3.1 |
| product_version | 3-1 |
| history | Source data were: NASA OBPG SeaWiFS level2 R2014.0 LAC and GAC [A/C via l2gen], NASA OBPG VIIRS L2 R2014.0.1 (identical to R2014.0.2) [A/C via l2gen], NASA OBPG MODIS Aqua level 1A [A/C: l2gen equivalent to R2014.0.1 + Polymer 3.5] and ESA MERIS L1B (3rd reprocessing inc OCL correction) [Polymer v3.5]; Derived products were mainly produced with functions validated from the current NASA SeaDAS release and some custom implementations. Uncertainty generation determined by the fuzzy classifier scheme of Tim Moore (2009) and Thomas Jackson et al (2017) |
| ecv | OC |
| institute | Plymouth Marine Laboratory |
| product_string | MERGED |
| data_type | CHLOR_A |
| abstract | The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies. This dataset contains their Version 3.1 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites). Note, this chlor_a data is also included in the 'All Products' dataset. This data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.) |
| publication_date | 2018-06-25T17:42:09 |
| uuid | 12d6f4bdabe144d7836b0807e65aa0e2 |
| catalog_url | https://catalogue.ceda.ac.uk/uuid/12d6f4bdabe144d7836b0807e65aa0e2 |
| sensor_id | multi-sensor |
| platform_id | multi-platform |
| cci_project | OC |