Dataset: ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 4.2#
Dataset identifier: esacci.OC.mon.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.4-2.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.mon.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.4-2.sinusoidal')
Bounding box map#
cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.OC.mon.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.4-2.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 | 1997-09-03 to 2019-12-31 |
| Time period | 1M |
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_sum | Count of the number of observations from the MERIS sensor contributing to this bin cell | [none] |
| MODISA_nobs_sum | Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell | [none] |
| SeaWiFS_nobs_sum | Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell | [none] |
| VIIRS_nobs_sum | 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_sum | Count of the total number of observations contributing to this bin cell | [none] |
Full variable metadata#
MERIS_nobs_sum#
| Field | Value |
|---|---|
| coordinates | lat lon |
| long_name | Count of the number of observations from the MERIS sensor contributing to this bin cell |
| number_of_files_composited | 30 |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 6368129168 |
| shape | 268, 23761676 |
| chunk_sizes | 1, 1048576 |
| file_chunk_sizes | 1, 1048576 |
| data_type | float32 |
| dimensions | time, bin_index |
| file_dimensions | time, bin_index |
MODISA_nobs_sum#
| Field | Value |
|---|---|
| long_name | Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell |
| number_of_files_composited | 30 |
| coordinates | lat lon |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 6368129168 |
| shape | 268, 23761676 |
| chunk_sizes | 1, 1048576 |
| file_chunk_sizes | 1, 1048576 |
| data_type | float32 |
| dimensions | time, bin_index |
| file_dimensions | time, bin_index |
SeaWiFS_nobs_sum#
| 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 |
| number_of_files_composited | 30 |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 6368129168 |
| shape | 268, 23761676 |
| chunk_sizes | 1, 1048576 |
| file_chunk_sizes | 1, 1048576 |
| data_type | float32 |
| dimensions | time, bin_index |
| file_dimensions | time, bin_index |
VIIRS_nobs_sum#
| Field | Value |
|---|---|
| long_name | Count of the number of observations from the VIIRS sensor contributing to this bin cell |
| coordinates | lat lon |
| number_of_files_composited | 30 |
| orig_data_type | float32 |
| fill_value | 0.0 |
| size | 6368129168 |
| shape | 268, 23761676 |
| chunk_sizes | 1, 1048576 |
| file_chunk_sizes | 1, 1048576 |
| 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 SeaDAS using a blended combination of OCI (OC4v6 + Hu's CI), OC3 and OC5, 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 | 6368129168 |
| shape | 268, 23761676 |
| chunk_sizes | 1, 1048576 |
| file_chunk_sizes | 1, 1048576 |
| 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/v4.0-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 | 6368129168 |
| shape | 268, 23761676 |
| chunk_sizes | 1, 1048576 |
| file_chunk_sizes | 1, 1048576 |
| 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/v4.0-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 | 6368129168 |
| shape | 268, 23761676 |
| chunk_sizes | 1, 1048576 |
| file_chunk_sizes | 1, 1048576 |
| 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 | 268 |
| shape | 268 |
| chunk_sizes | 1 |
| file_chunk_sizes | 1 |
| data_type | int64 |
| dimensions | time |
| file_dimensions | time |
total_nobs_sum#
| Field | Value |
|---|---|
| number_of_files_composited | 30 |
| 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 | 6368129168 |
| shape | 268, 23761676 |
| chunk_sizes | 1, 1048576 |
| file_chunk_sizes | 1, 1048576 |
| data_type | float32 |
| dimensions | time, bin_index |
| file_dimensions | time, bin_index |
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 R2018.0 LAC and GAC, MODIS-Aqua L2 R2018.0, MERIS L1B 3rd reprocessing inc OCL corrections, NASA VIIRS L2 R2018.0 |
| title | ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 4.2 |
| history | Source data were: ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971101-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971102-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971103-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971104-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971105-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971106-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971107-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971108-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971109-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971110-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971111-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971112-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971113-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971114-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971115-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971116-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971117-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971118-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971119-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971120-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971121-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971122-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971123-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971124-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971125-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971126-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971127-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971128-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971129-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_SIN_PML_OCx_QAA-19971130-fv4.1.nc; netcdf_compositor_cci composites Rrs_412, Rrs_443, Rrs_490, Rrs_510, Rrs_555, Rrs_670, water_class1, water_class2, water_class3, water_class4, water_class5, water_class6, water_class7, water_class8, water_class9, water_class10, water_class11, water_class12, water_class13, water_class14, atot_412, atot_443, atot_490, atot_510, atot_555, atot_670, aph_412, aph_443, aph_490, aph_510, aph_555, aph_670, adg_412, adg_443, adg_490, adg_510, adg_555, adg_670, bbp_412, bbp_443, bbp_490, bbp_510, bbp_555, bbp_670, chlor_a, kd_490, Rrs_412_bias, Rrs_443_bias, Rrs_490_bias, Rrs_510_bias, Rrs_555_bias, Rrs_670_bias, chlor_a_log10_bias, aph_412_bias, aph_443_bias, aph_490_bias, aph_510_bias, aph_555_bias, aph_670_bias, adg_412_bias, adg_443_bias, adg_490_bias, adg_510_bias, adg_555_bias, adg_670_bias, kd_490_bias with --mean, Rrs_412_rmsd, Rrs_443_rmsd, Rrs_490_rmsd, Rrs_510_rmsd, Rrs_555_rmsd, Rrs_670_rmsd, chlor_a_log10_rmsd, aph_412_rmsd, aph_443_rmsd, aph_490_rmsd, aph_510_rmsd, aph_555_rmsd, aph_670_rmsd, adg_412_rmsd, adg_443_rmsd, adg_490_rmsd, adg_510_rmsd, adg_555_rmsd, adg_670_rmsd, kd_490_rmsd with --root-mean-square, and SeaWiFS_nobs, MODISA_nobs, MERIS_nobs, VIIRS_nobs, total_nobs - with --total 1579701152 Subsetted from standardised_sine/ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1M_MONTHLY_4km_SIN_PML_OCx_QAA-199711-fv4.1.nc to only include variables MERIS_nobs_sum,MODISA_nobs_sum,SeaWiFS_nobs_sum,VIIRS_nobs_sum,chlor_a,chlor_a_log10_bias,chlor_a_log10_rmsd,crs,lat,lon,time,total_nobs_sum |
| product_version | 4-2 |
| 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 4.2 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). 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 | 2020-07-01T10:10:44 |
| uuid | 99348189bd33459cbd597a58c30d8d10 |
| catalog_url | https://catalogue.ceda.ac.uk/uuid/99348189bd33459cbd597a58c30d8d10 |
| sensor_id | multi-sensor |
| platform_id | multi-platform |
| cci_project | OC |