Dataset: ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 5.0#
Dataset identifier: esacci.OC.day.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.5-0.sinusoidal
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.5-0.sinusoidal')
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.5-0.sinusoidal')
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 | 1997-09-04 to 2020-12-31 |
| 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] |
| OLCI_nobs | Count of the number of observations from the OLCI 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 as a blended combination of OCI, OCI2, OC2 and OCx algorithms, 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 |
| coordinates | lat lon |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 201831675944 |
| shape | 8494, 23761676 |
| chunk_sizes | 1, 72900 |
| file_chunk_sizes | 1, 72900 |
| data_type | float32 |
| dimensions | time, bin_index |
| file_dimensions | time, bin_index |
MODISA_nobs#
| Field | Value |
|---|---|
| long_name | Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell |
| coordinates | lat lon |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 201831675944 |
| shape | 8494, 23761676 |
| chunk_sizes | 1, 72900 |
| file_chunk_sizes | 1, 72900 |
| data_type | float32 |
| dimensions | time, bin_index |
| file_dimensions | time, bin_index |
OLCI_nobs#
| Field | Value |
|---|---|
| long_name | Count of the number of observations from the OLCI sensor contributing to this bin cell |
| coordinates | lat lon |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 201831675944 |
| shape | 8494, 23761676 |
| chunk_sizes | 1, 72900 |
| file_chunk_sizes | 1, 72900 |
| data_type | float32 |
| dimensions | time, bin_index |
| file_dimensions | time, bin_index |
SeaWiFS_nobs#
| Field | Value |
|---|---|
| long_name | Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell |
| coordinates | lat lon |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 201831675944 |
| shape | 8494, 23761676 |
| chunk_sizes | 1, 72900 |
| file_chunk_sizes | 1, 72900 |
| data_type | float32 |
| dimensions | time, bin_index |
| file_dimensions | time, bin_index |
VIIRS_nobs#
| Field | Value |
|---|---|
| long_name | Count of the number of observations from the VIIRS sensor contributing to this bin cell |
| coordinates | lat lon |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 201831675944 |
| shape | 8494, 23761676 |
| chunk_sizes | 1, 72900 |
| file_chunk_sizes | 1, 72900 |
| data_type | float32 |
| dimensions | time, bin_index |
| file_dimensions | time, bin_index |
chlor_a#
| Field | Value |
|---|---|
| ancillary_variables | chlor_a_log10_rmsd chlor_a_log10_bias |
| coordinates | lat lon |
| grid_mapping | crs |
| 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 |
| parameter_vocab_uri | http://vocab.ndg.nerc.ac.uk/term/P011/current/CHLTVOLU |
| standard_name | mass_concentration_of_chlorophyll_a_in_sea_water |
| units | milligram m-3 |
| units_nonstandard | mg m^-3 |
| orig_data_type | float32 |
| fill_value | 9.96921e+36 |
| size | 201831675944 |
| shape | 8494, 23761676 |
| chunk_sizes | 1, 72900 |
| file_chunk_sizes | 1, 72900 |
| data_type | float32 |
| dimensions | time, bin_index |
| file_dimensions | time, bin_index |
chlor_a_log10_bias#
| Field | Value |
|---|---|
| comment | Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/chlor_a/cci_chla_bias.dat |
| coordinates | lat lon |
| grid_mapping | crs |
| long_name | Bias of log10-transformed chlorophyll-a concentration in seawater. |
| ref | http://www.esa-oceancolour-cci.org/?q=webfm_send/581 |
| rel | uncertainty |
| orig_data_type | float32 |
| fill_value | 9.96921e+36 |
| size | 201831675944 |
| shape | 8494, 23761676 |
| chunk_sizes | 1, 72900 |
| file_chunk_sizes | 1, 72900 |
| data_type | float32 |
| dimensions | time, bin_index |
| file_dimensions | time, bin_index |
chlor_a_log10_rmsd#
| Field | Value |
|---|---|
| comment | Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/chlor_a/cci_chla_rmsd.dat |
| coordinates | lat lon |
| grid_mapping | crs |
| long_name | Root-mean-square-difference of log10-transformed chlorophyll-a concentration in seawater. |
| ref | http://www.esa-oceancolour-cci.org/?q=webfm_send/581 |
| rel | uncertainty |
| orig_data_type | float32 |
| fill_value | 9.96921e+36 |
| size | 201831675944 |
| shape | 8494, 23761676 |
| chunk_sizes | 1, 72900 |
| file_chunk_sizes | 1, 72900 |
| data_type | float32 |
| dimensions | time, bin_index |
| file_dimensions | time, bin_index |
crs#
| Field | Value |
|---|---|
| number_of_latitude_rows | 4320 |
| total_number_of_bins | 23761676 |
| grid_mapping_name | 1D binned sinusoidal |
| orig_data_type | int32 |
| fill_value | 9223372036854775807 |
| size | 8494 |
| shape | 8494 |
| 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 |
| coordinates | lat lon |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 201831675944 |
| shape | 8494, 23761676 |
| chunk_sizes | 1, 72900 |
| file_chunk_sizes | 1, 72900 |
| data_type | float32 |
| dimensions | time, bin_index |
| file_dimensions | time, bin_index |
Full dataset metadata#
| Field | Value |
|---|---|
| comment | See summary attribute |
| processing_level | L3S |
| product_version | 5-0 |
| project | Climate Change Initiative - European Space Agency |
| references | http://www.esa-oceancolour-cci.org/ |
| source | NASA SeaWiFS L1A and L2 R2018.0 LAC and GAC, MODIS-Aqua L1A and L2 R2018.0, MERIS L1B 3rd reprocessing inc OCL corrections, NASA VIIRS L1A and L2 R2018.0, OLCI L1B |
| title | ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 5.0 |
| history | Source data were: NASA OBPG SeaWiFS level1 R2018.0 LAC and GAC [A/C via l2gen], NASA OBPG VIIRS L1 R2018.0 [A/C via polymer], NASA OBPG MODIS Aqua L1 R2018.0 (A/C via polymer), ESA MERIS L1B (3rd reprocessing inc OCL correction) [Polymer v4.12] and OLCI L1B [Polymer v4.12]; 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) as updated by Jackson et al. (2017) and Jackson et al. (in prep). 1604064745 Subsetted from standardised_sine/ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19970909-fv5.0.nc to only include variables MERIS_nobs,MODISA_nobs,OLCI_nobs,SeaWiFS_nobs,VIIRS_nobs,chlor_a,chlor_a_log10_bias,chlor_a_log10_rmsd,crs,lat,lon,time,total_nobs |
| 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 5.0 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Note, the chlorophyll-a data are also included in the 'All Products' dataset. This data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.) |
| publication_date | 2021-05-12T13:08:47 |
| uuid | 66534da90ed44abebfc1b08adca4f9c3 |
| catalog_url | https://catalogue.ceda.ac.uk/uuid/66534da90ed44abebfc1b08adca4f9c3 |
| sensor_id | multi-sensor |
| platform_id | multi-platform |
| cci_project | OC |