Dataset: ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 5.0#
Dataset identifier: esacci.OC.mon.L3S.K_490.multi-sensor.multi-platform.MERGED.5-0.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.mon.L3S.K_490.multi-sensor.multi-platform.MERGED.5-0.geographic')
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.5-0.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 | 1997-09-04 to 2020-12-31 |
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] |
OLCI_nobs_sum | Count of the number of observations from the OLCI 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 |
---|---|
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 | 10450944000 |
shape | 280, 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_sum#
Field | Value |
---|---|
number_of_files_composited | 30 |
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 | 10450944000 |
shape | 280, 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 |
OLCI_nobs_sum#
Field | Value |
---|---|
number_of_files_composited | 30 |
long_name | Count of the number of observations from the OLCI sensor contributing to this bin cell |
orig_data_type | float32 |
fill_value | 0.0 |
size | 10450944000 |
shape | 280, 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_sum#
Field | Value |
---|---|
number_of_files_composited | 30 |
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 | 10450944000 |
shape | 280, 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_sum#
Field | Value |
---|---|
number_of_files_composited | 30 |
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 | 10450944000 |
shape | 280, 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 | 280 |
shape | 280 |
chunk_sizes | 1 |
file_chunk_sizes | 1 |
data_type | int64 |
dimensions | time |
file_dimensions | time |
kd_490#
Field | Value |
---|---|
long_name | Downwelling attenuation coefficient at 490nm, derived using Lee 2005 equation and bbw from Zhang 2009 (following the SeaDAS Kd_lee algorithm) |
units | m-1 |
ancillary_variables | kd_490_rmsd kd_490_bias |
grid_mapping | crs |
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_nonstandard | m^-1 |
wavelength | 490 |
orig_data_type | float32 |
fill_value | 9.96921e+36 |
size | 10450944000 |
shape | 280, 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 |
kd_490_bias#
Field | Value |
---|---|
long_name | Bias of downwelling attenuation coefficient at 490 nm derived using Lee 2005 equation and bbw from Zhang 2009 |
units | m-1 |
comment | Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/kd/cci_kd_bias.dat |
grid_mapping | crs |
ref | http://www.esa-oceancolour-cci.org/?q=webfm_send/581 |
rel | uncertainty |
units_nonstandard | m^-1 |
wavelength | 490 |
orig_data_type | float32 |
fill_value | 9.96921e+36 |
size | 10450944000 |
shape | 280, 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 |
kd_490_rmsd#
Field | Value |
---|---|
long_name | Root-mean-square-difference of downwelling attenuation coefficient at 490 nm derived using Lee 2005 equation and bbw from Zhang 2009 |
units | m-1 |
comment | Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/kd/cci_kd_rmsd.dat |
grid_mapping | crs |
ref | http://www.esa-oceancolour-cci.org/?q=webfm_send/581 |
rel | uncertainty |
units_nonstandard | m^-1 |
wavelength | 490 |
orig_data_type | float32 |
fill_value | 9.96921e+36 |
size | 10450944000 |
shape | 280, 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 |
total_nobs_sum#
Field | Value |
---|---|
long_name | Count of the total number of observations contributing to this bin cell |
number_of_files_composited | 30 |
orig_data_type | float32 |
fill_value | 0.0 |
size | 10450944000 |
shape | 280, 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 |
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 attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 5.0 |
history | Source data were: ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971101-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971102-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971103-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971104-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971105-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971106-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971107-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971108-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971109-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971110-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971111-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971112-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971113-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971114-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971115-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971116-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971117-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971118-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971119-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971120-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971121-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971122-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971123-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971124-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971125-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971126-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971127-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971128-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971129-fv5.0.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19971130-fv5.0.nc; netcdf_compositor_cci composites Rrs_412, Rrs_443, Rrs_490, Rrs_510, Rrs_560, Rrs_665, 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_560, atot_665, aph_412, aph_443, aph_490, aph_510, aph_560, aph_665, adg_412, adg_443, adg_490, adg_510, adg_560, adg_665, bbp_412, bbp_443, bbp_490, bbp_510, bbp_560, bbp_665, chlor_a, kd_490, Rrs_412_bias, Rrs_443_bias, Rrs_490_bias, Rrs_510_bias, Rrs_560_bias, Rrs_665_bias, chlor_a_log10_bias, aph_412_bias, aph_443_bias, aph_490_bias, aph_510_bias, aph_560_bias, aph_665_bias, adg_412_bias, adg_443_bias, adg_490_bias, adg_510_bias, adg_560_bias, adg_665_bias, kd_490_bias with --mean, Rrs_412_rmsd, Rrs_443_rmsd, Rrs_490_rmsd, Rrs_510_rmsd, Rrs_560_rmsd, Rrs_665_rmsd, chlor_a_log10_rmsd, aph_412_rmsd, aph_443_rmsd, aph_490_rmsd, aph_510_rmsd, aph_560_rmsd, aph_665_rmsd, adg_412_rmsd, adg_443_rmsd, adg_490_rmsd, adg_510_rmsd, adg_560_rmsd, adg_665_rmsd, kd_490_rmsd with --root-mean-square, and SeaWiFS_nobs, MODISA_nobs, MERIS_nobs, VIIRS_nobs, OLCI_nobs, total_nobs - with --total 1604483621 Subsetted from standardised_geo/ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1M_MONTHLY_4km_GEO_PML_OCx_QAA-199711-fv5.0.nc to only include variables MERIS_nobs_sum,MODISA_nobs_sum,OLCI_nobs_sum,SeaWiFS_nobs_sum,VIIRS_nobs_sum,crs,kd_490,kd_490_bias,kd_490_rmsd,lat,lon,time,total_nobs_sum |
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 5.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. It is computed from the Ocean Colour CCI Version 5.0 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 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 | 2021-05-12T13:10:09 |
uuid | e94f2810c0794175b834153a71ac3182 |
catalog_url | https://catalogue.ceda.ac.uk/uuid/e94f2810c0794175b834153a71ac3182 |
sensor_id | multi-sensor |
platform_id | multi-platform |
cci_project | OC |