esa-cci-kd-monthly-v4-1
eng
UTF8
dataset
service
Dr. Melanie Abecassis
NOAA OceanWatch - Central Pacific
+1 808-725-5569
1845 Wasp Blvd., Bldg 176
Honolulu
HI
96818
USA
Melanie.Abecassis@noaa.gov
pointOfContact
2024-03-25
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
3
column
8640
0.04166667052552379
row
4320
0.0416666635795323
temporal
256
2628592.9411764704
area
ZZZ - DEPRECATED - Kd490, ESA OC CCI - Monthly, 1997-2018. v4.1
2019-12-07
creation
oceanwatch.pifsc.noaa.gov
esa-cci-kd-monthly-v4-1
Plymouth Marine Laboratory
Plymouth Marine Laboratory
help@esa-oceancolour-cci.org
https://esa-oceancolour-cci.org/
information
web browser
Background Information
Background information from the source
information
originator
Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are monthly composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS)) products. MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to SeaWiFS levels, for the overlap period 2012-2013. VIIRS, MODIS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS - from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.8 (for atmospheric correction). The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM. Derived products were generally computed with the standard SeaDAS algorithms. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OC4, Hu's CI and OC5, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017).
Plymouth Marine Laboratory
Plymouth Marine Laboratory
help@esa-oceancolour-cci.org
https://esa-oceancolour-cci.org/
information
web browser
Background Information
Background information from the source
information
pointOfContact
490nm
algorithm
aqua
area
attenuation
bbw
bias
bin
cci
cell
coefficient
colour
contributing
count
coverage
data
derived
difference
downwelling
earth
equation
esa
field
field-of-view
flux
following
gac
global
heat
heat flux
imager
imager/radiometer
imaging
infrared
laboratory
lac
lee
local
marine
mean
meris
moderate
modis
number
observation
observations
ocean
ocean colour
oceans
optical
optical properties
optics
plymouth
product
properties
radiance
radiative
radiometer
resolution
root
root-mean-square-difference
satellite
science
sea
sea-wide
seadas
seawater
seawifs
sensor
spectroradiometer
square
statistics
suite
total
transmission
using
view
viirs
visible
volume
water
wide
zhang
theme
Earth Science > Oceans > Ocean Optics > Radiance
Earth Science > Oceans > Ocean Optics > Attenuation/Transmission
theme
GCMD Science Keywords
Climate Change Initiative - European Space Agency
project
time
latitude
longitude
volume_attenuation_coefficient_of_downwelling_radiative_flux_in_sea_water
theme
CF Standard Name Table v29
ESA CCI Data Policy: free and open access. When referencing, please use: Ocean Colour Climate Change Initiative dataset, Version <Version Number>, European Space Agency, available online at https://esa-oceancolour-cci.org. We would also appreciate being notified of publications so that we can list them on the project website at https://esa-oceancolour-cci.org/?q=publications
Climate Change Initiative - European Space Agency
largerWorkCitation
project
Unidata Common Data Model
Grid
largerWorkCitation
project
eng
geoscientificInformation
1
-180.0
180.0
-89.97916
89.97916
seconds
1997-09-04T00:00:00Z
2018-12-01T00:00:00Z
ZZZ - DEPRECATED - Kd490, ESA OC CCI - Monthly, 1997-2018. v4.1
2019-12-07
creation
Plymouth Marine Laboratory
Plymouth Marine Laboratory
help@esa-oceancolour-cci.org
https://esa-oceancolour-cci.org/
information
web browser
Background Information
Background information from the source
information
originator
Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are monthly composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS)) products. MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to SeaWiFS levels, for the overlap period 2012-2013. VIIRS, MODIS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS - from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.8 (for atmospheric correction). The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM. Derived products were generally computed with the standard SeaDAS algorithms. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OC4, Hu's CI and OC5, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017).
ERDDAP griddap
1
-180.0
180.0
-89.97916
89.97916
seconds
1997-09-04T00:00:00Z
2018-12-01T00:00:00Z
tight
ERDDAPgriddapDatasetQueryAndAccess
https://oceanwatch.pifsc.noaa.gov/erddap/griddap/esa-cci-kd-monthly-v4-1
ERDDAP:griddap
ERDDAP-griddap
ERDDAP's griddap service (a flavor of OPeNDAP) for gridded data. Add different extensions (e.g., .html, .graph, .das, .dds) to the base URL for different purposes.
download
ZZZ - DEPRECATED - Kd490, ESA OC CCI - Monthly, 1997-2018. v4.1
2019-12-07
creation
Plymouth Marine Laboratory
Plymouth Marine Laboratory
help@esa-oceancolour-cci.org
https://esa-oceancolour-cci.org/
information
web browser
Background Information
Background information from the source
information
originator
Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are monthly composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS)) products. MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to SeaWiFS levels, for the overlap period 2012-2013. VIIRS, MODIS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS - from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.8 (for atmospheric correction). The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM. Derived products were generally computed with the standard SeaDAS algorithms. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OC4, Hu's CI and OC5, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017).
OPeNDAP
1
-180.0
180.0
-89.97916
89.97916
seconds
1997-09-04T00:00:00Z
2018-12-01T00:00:00Z
tight
OPeNDAPDatasetQueryAndAccess
https://oceanwatch.pifsc.noaa.gov/erddap/griddap/esa-cci-kd-monthly-v4-1
OPeNDAP:OPeNDAP
OPeNDAP
An OPeNDAP service for gridded data. Add different extensions (e.g., .html, .das, .dds) to the base URL for different purposes.
download
ZZZ - DEPRECATED - Kd490, ESA OC CCI - Monthly, 1997-2018. v4.1
2019-12-07
creation
Plymouth Marine Laboratory
Plymouth Marine Laboratory
help@esa-oceancolour-cci.org
https://esa-oceancolour-cci.org/
information
web browser
Background Information
Background information from the source
information
originator
Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are monthly composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS)) products. MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to SeaWiFS levels, for the overlap period 2012-2013. VIIRS, MODIS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS - from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.8 (for atmospheric correction). The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM. Derived products were generally computed with the standard SeaDAS algorithms. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OC4, Hu's CI and OC5, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017).
Open Geospatial Consortium Web Map Service (WMS)
1
-180.0
180.0
-89.97916
89.97916
seconds
1997-09-04T00:00:00Z
2018-12-01T00:00:00Z
tight
GetCapabilities
https://oceanwatch.pifsc.noaa.gov/erddap/wms/esa-cci-kd-monthly-v4-1/request?service=WMS&version=1.3.0&request=GetCapabilities
OGC:WMS
OGC-WMS
Open Geospatial Consortium Web Map Service (WMS)
download
physicalMeasurement
kd_490
float
Downwelling attenuation coefficient at 490nm, derived using Lee 2005 equation and bbw from Zhang 2009 (following the SeaDAS Kd_lee algorithm)
MERIS_nobs_sum
float
Count of the number of observations from the MERIS sensor contributing to this bin cell
MODISA_nobs_sum
float
Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell
SeaWiFS_nobs_sum
float
Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell
VIIRS_nobs_sum
float
Count of the number of observations from the VIIRS sensor contributing to this bin cell
kd_490_bias
float
Bias of downwelling attenuation coefficient at 490 nm derived using Lee 2005 equation and bbw from Zhang 2009
kd_490_rmsd
float
Root-mean-square-difference of downwelling attenuation coefficient at 490 nm derived using Lee 2005 equation and bbw from Zhang 2009
total_nobs_sum
float
Count of the total number of observations contributing to this bin cell
Dr. Melanie Abecassis
NOAA OceanWatch - Central Pacific
+1 808-725-5569
1845 Wasp Blvd., Bldg 176
Honolulu
HI
96818
USA
Melanie.Abecassis@noaa.gov
distributor
OPeNDAP
DAP/2.0
https://oceanwatch.pifsc.noaa.gov/erddap/griddap/esa-cci-kd-monthly-v4-1.html
order
Data Subset Form
ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.
download
https://oceanwatch.pifsc.noaa.gov/erddap/griddap/esa-cci-kd-monthly-v4-1.graph
order
Make-A-Graph Form
ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.
mapDigital
dataset
Tue Jan 28 19:21:29 2020: ncatted -O -a geospatial_lon_max,global,o,f,360.0 ESACCI-OC-L3S-K_490-MERGED-1M_MONTHLY_4km_GEO_PML_KD490_Lee-201812-fv4.1-0-360.nc
Tue Jan 28 19:21:29 2020: ncatted -O -a geospatial_lon_min,global,o,f,0.0 ESACCI-OC-L3S-K_490-MERGED-1M_MONTHLY_4km_GEO_PML_KD490_Lee-201812-fv4.1-0-360.nc
Tue Jan 28 19:21:29 2020: ncatted -O -a valid_max,lon,o,f,359.9792 ESACCI-OC-L3S-K_490-MERGED-1M_MONTHLY_4km_GEO_PML_KD490_Lee-201812-fv4.1-0-360.nc
Tue Jan 28 19:21:29 2020: ncatted -O -a valid_min,lon,o,f,0.02083 ESACCI-OC-L3S-K_490-MERGED-1M_MONTHLY_4km_GEO_PML_KD490_Lee-201812-fv4.1-0-360.nc
Tue Jan 28 19:21:15 2020: ncap2 -O -s where(lon<0) lon=lon+360 ESACCI-OC-L3S-K_490-MERGED-1M_MONTHLY_4km_GEO_PML_KD490_Lee-201812-fv4.1-0-360.nc ESACCI-OC-L3S-K_490-MERGED-1M_MONTHLY_4km_GEO_PML_KD490_Lee-201812-fv4.1-0-360.nc
Tue Jan 28 19:20:57 2020: ncks -O --msa_usr_rdr -d lon,0.0,180.0 -d lon,-180.0,0.0 ESACCI-OC-L3S-K_490-MERGED-1M_MONTHLY_4km_GEO_PML_KD490_Lee-201812-fv4.1.nc ESACCI-OC-L3S-K_490-MERGED-1M_MONTHLY_4km_GEO_PML_KD490_Lee-201812-fv4.1-0-360.nc
Source data were: ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181201-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181202-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181203-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181204-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181205-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181206-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181207-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181208-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181209-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181210-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181211-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181212-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181213-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181214-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181215-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181216-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181217-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181218-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181219-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181220-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181221-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181222-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181223-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181224-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181225-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181226-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181227-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181228-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181229-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181230-fv4.1.nc, ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20181231-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 MODISA_nobs, VIIRS_nobs, MERIS_nobs, SeaWiFS_nobs, total_nobs - with --total
1557805673 Subsetted from standardised_geo/ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1M_MONTHLY_4km_GEO_PML_OCx_QAA-201812-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
This record was created from dataset metadata by ERDDAP Version 2.22