Dataset: ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 4.2#
Dataset identifier: esacci.OC.mon.L3S.K_490.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.K_490.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.K_490.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] |
| kd_490 | Downwelling attenuation coefficient at 490nm, derived using Lee 2005 equation and bbw from Zhang 2009 (following the SeaDAS Kd_lee algorithm) | m-1 |
| kd_490_bias | Bias of downwelling attenuation coefficient at 490 nm derived using Lee 2005 equation and bbw from Zhang 2009 | m-1 |
| kd_490_rmsd | Root-mean-square-difference of downwelling attenuation coefficient at 490 nm derived using Lee 2005 equation and bbw from Zhang 2009 | m-1 |
| 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 |
crs#
| Field | Value |
|---|---|
| total_number_of_bins | 23761676 |
| number_of_latitude_rows | 4320 |
| 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 |
kd_490#
| Field | Value |
|---|---|
| ancillary_variables | kd_490_rmsd kd_490_bias |
| coordinates | lat lon |
| grid_mapping | crs |
| long_name | Downwelling attenuation coefficient at 490nm, derived using Lee 2005 equation and bbw from Zhang 2009 (following the SeaDAS Kd_lee algorithm) |
| parameter_vocab_uri | http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0064 |
| standard_name | volume_attenuation_coefficient_of_downwelling_radiative_flux_in_sea_water |
| units | m-1 |
| units_nonstandard | m^-1 |
| 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 |
kd_490_bias#
| Field | Value |
|---|---|
| comment | Uncertainty lookups derived from file: /data/datasets/CCI/v4.0-production/stage09b-uncertainty_tables/kd/cci_kd_bias.dat |
| coordinates | lat lon |
| grid_mapping | crs |
| long_name | Bias of downwelling attenuation coefficient at 490 nm derived using Lee 2005 equation and bbw from Zhang 2009 |
| ref | http://www.esa-oceancolour-cci.org/?q=webfm_send/581 |
| rel | uncertainty |
| units | m-1 |
| units_nonstandard | m^-1 |
| 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 |
kd_490_rmsd#
| Field | Value |
|---|---|
| comment | Uncertainty lookups derived from file: /data/datasets/CCI/v4.0-production/stage09b-uncertainty_tables/kd/cci_kd_rmsd.dat |
| coordinates | lat lon |
| grid_mapping | crs |
| long_name | Root-mean-square-difference of downwelling attenuation coefficient at 490 nm derived using Lee 2005 equation and bbw from Zhang 2009 |
| ref | http://www.esa-oceancolour-cci.org/?q=webfm_send/581 |
| rel | uncertainty |
| units | m-1 |
| units_nonstandard | m^-1 |
| 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 |
total_nobs_sum#
| Field | Value |
|---|---|
| long_name | Count of the total number of observations 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 |
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 attenuation coefficient for downwelling irradiance (Kd490) 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 1579701402 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,crs,kd_490,kd_490_bias,kd_490_rmsd,lat,lon,time,total_nobs_sum |
| product_version | 4-2 |
| ecv | OC |
| institute | Plymouth Marine Laboratory |
| product_string | MERGED |
| data_type | K_490 |
| 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 the Version 4.2 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 4.2 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within 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 | 2020-07-01T10:08:11 |
| uuid | 07eeca6888c645d89a7ef91de0290eca |
| catalog_url | https://catalogue.ceda.ac.uk/uuid/07eeca6888c645d89a7ef91de0290eca |
| sensor_id | multi-sensor |
| platform_id | multi-platform |
| cci_project | OC |