Dataset: ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 3.1#

Dataset identifier: esacci.OC.day.L3S.RRS.multi-sensor.multi-platform.MERGED.3-1.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.day.L3S.RRS.multi-sensor.multi-platform.MERGED.3-1.geographic')

Bounding box map#

Bounding box map
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 2016-12-31
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]
Rrs_412 Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm. sr-1
Rrs_412_bias Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm. sr-1
Rrs_412_rmsd Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm. sr-1
Rrs_443 Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm. sr-1
Rrs_443_bias Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm. sr-1
Rrs_443_rmsd Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm. sr-1
Rrs_490 Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm. sr-1
Rrs_490_bias Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm. sr-1
Rrs_490_rmsd Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm. sr-1
Rrs_510 Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm. sr-1
Rrs_510_bias Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm. sr-1
Rrs_510_rmsd Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm. sr-1
Rrs_555 Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm. sr-1
Rrs_555_bias Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm. sr-1
Rrs_555_rmsd Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm. sr-1
Rrs_670 Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm. sr-1
Rrs_670_bias Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm. sr-1
Rrs_670_rmsd Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm. sr-1
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]
total_nobs Count of the total number of observations contributing to this bin cell [none]
water_class1 Normalised water class 1 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data [none]
water_class10 Normalised water class 10 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data [none]
water_class11 Normalised water class 11 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data [none]
water_class12 Normalised water class 12 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data [none]
water_class13 Normalised water class 13 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data [none]
water_class14 Normalised water class 14 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data [none]
water_class2 Normalised water class 2 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data [none]
water_class3 Normalised water class 3 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data [none]
water_class4 Normalised water class 4 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data [none]
water_class5 Normalised water class 5 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data [none]
water_class6 Normalised water class 6 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data [none]
water_class7 Normalised water class 7 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data [none]
water_class8 Normalised water class 8 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data [none]
water_class9 Normalised water class 9 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data [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
orig_data_type float32
fill_value 0.0
size 262467993600
shape 7032, 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#

Field Value
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 262467993600
shape 7032, 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

Rrs_412#

Field Value
long_name Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.
units sr-1
ancillary_variables Rrs_412_rmsd Rrs_412_bias
grid_mapping crs
standard_name surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
units_nonstandard sr^-1
parameter_vocab_uri http://vocab.nerc.ac.uk/collection/P04/current/
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_412_bias#

Field Value
long_name Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.
units sr-1
grid_mapping crs
rel uncertainty
units_nonstandard sr^-1
comment Uncertainty lookups derived from file: /data/datasets/CCI/v3.1-production/stage09b-uncertainty_tables/rrs/cci_Rrs_bias.dat
ref http://www.esa-oceancolour-cci.org/?q=webfm_send/581
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_412_rmsd#

Field Value
long_name Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.
units sr-1
grid_mapping crs
rel uncertainty
units_nonstandard sr^-1
comment Uncertainty lookups derived from file: /data/datasets/CCI/v3.1-production/stage09b-uncertainty_tables/rrs/cci_Rrs_rmsd.dat
ref http://www.esa-oceancolour-cci.org/?q=webfm_send/581
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_443#

Field Value
long_name Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.
units sr-1
ancillary_variables Rrs_443_rmsd Rrs_443_bias
grid_mapping crs
standard_name surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
units_nonstandard sr^-1
parameter_vocab_uri http://vocab.nerc.ac.uk/collection/P04/current/
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_443_bias#

Field Value
long_name Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.
units sr-1
grid_mapping crs
rel uncertainty
units_nonstandard sr^-1
comment Uncertainty lookups derived from file: /data/datasets/CCI/v3.1-production/stage09b-uncertainty_tables/rrs/cci_Rrs_bias.dat
ref http://www.esa-oceancolour-cci.org/?q=webfm_send/581
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_443_rmsd#

Field Value
long_name Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.
units sr-1
grid_mapping crs
rel uncertainty
units_nonstandard sr^-1
comment Uncertainty lookups derived from file: /data/datasets/CCI/v3.1-production/stage09b-uncertainty_tables/rrs/cci_Rrs_rmsd.dat
ref http://www.esa-oceancolour-cci.org/?q=webfm_send/581
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_490#

Field Value
long_name Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
units sr-1
ancillary_variables Rrs_490_rmsd Rrs_490_bias
grid_mapping crs
standard_name surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
units_nonstandard sr^-1
parameter_vocab_uri http://vocab.nerc.ac.uk/collection/P04/current/
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_490_bias#

Field Value
long_name Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
units sr-1
grid_mapping crs
rel uncertainty
units_nonstandard sr^-1
comment Uncertainty lookups derived from file: /data/datasets/CCI/v3.1-production/stage09b-uncertainty_tables/rrs/cci_Rrs_bias.dat
ref http://www.esa-oceancolour-cci.org/?q=webfm_send/581
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_490_rmsd#

Field Value
long_name Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
units sr-1
grid_mapping crs
rel uncertainty
units_nonstandard sr^-1
comment Uncertainty lookups derived from file: /data/datasets/CCI/v3.1-production/stage09b-uncertainty_tables/rrs/cci_Rrs_rmsd.dat
ref http://www.esa-oceancolour-cci.org/?q=webfm_send/581
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_510#

Field Value
long_name Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.
units sr-1
ancillary_variables Rrs_510_rmsd Rrs_510_bias
grid_mapping crs
standard_name surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
units_nonstandard sr^-1
parameter_vocab_uri http://vocab.nerc.ac.uk/collection/P04/current/
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_510_bias#

Field Value
long_name Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.
units sr-1
grid_mapping crs
rel uncertainty
units_nonstandard sr^-1
comment Uncertainty lookups derived from file: /data/datasets/CCI/v3.1-production/stage09b-uncertainty_tables/rrs/cci_Rrs_bias.dat
ref http://www.esa-oceancolour-cci.org/?q=webfm_send/581
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_510_rmsd#

Field Value
long_name Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.
units sr-1
grid_mapping crs
rel uncertainty
units_nonstandard sr^-1
comment Uncertainty lookups derived from file: /data/datasets/CCI/v3.1-production/stage09b-uncertainty_tables/rrs/cci_Rrs_rmsd.dat
ref http://www.esa-oceancolour-cci.org/?q=webfm_send/581
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_555#

Field Value
long_name Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm.
units sr-1
ancillary_variables Rrs_555_rmsd Rrs_555_bias
grid_mapping crs
standard_name surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
units_nonstandard sr^-1
parameter_vocab_uri http://vocab.nerc.ac.uk/collection/P04/current/
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_555_bias#

Field Value
long_name Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm.
units sr-1
grid_mapping crs
rel uncertainty
units_nonstandard sr^-1
comment Uncertainty lookups derived from file: /data/datasets/CCI/v3.1-production/stage09b-uncertainty_tables/rrs/cci_Rrs_bias.dat
ref http://www.esa-oceancolour-cci.org/?q=webfm_send/581
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_555_rmsd#

Field Value
long_name Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm.
units sr-1
grid_mapping crs
rel uncertainty
units_nonstandard sr^-1
comment Uncertainty lookups derived from file: /data/datasets/CCI/v3.1-production/stage09b-uncertainty_tables/rrs/cci_Rrs_rmsd.dat
ref http://www.esa-oceancolour-cci.org/?q=webfm_send/581
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_670#

Field Value
long_name Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm.
units sr-1
ancillary_variables Rrs_670_rmsd Rrs_670_bias
grid_mapping crs
standard_name surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
units_nonstandard sr^-1
parameter_vocab_uri http://vocab.nerc.ac.uk/collection/P04/current/
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_670_bias#

Field Value
long_name Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm.
units sr-1
grid_mapping crs
rel uncertainty
units_nonstandard sr^-1
comment Uncertainty lookups derived from file: /data/datasets/CCI/v3.1-production/stage09b-uncertainty_tables/rrs/cci_Rrs_bias.dat
ref http://www.esa-oceancolour-cci.org/?q=webfm_send/581
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

Rrs_670_rmsd#

Field Value
long_name Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm.
units sr-1
grid_mapping crs
rel uncertainty
units_nonstandard sr^-1
comment Uncertainty lookups derived from file: /data/datasets/CCI/v3.1-production/stage09b-uncertainty_tables/rrs/cci_Rrs_rmsd.dat
ref http://www.esa-oceancolour-cci.org/?q=webfm_send/581
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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#

Field Value
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 262467993600
shape 7032, 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#

Field Value
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 262467993600
shape 7032, 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 7032
shape 7032
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
orig_data_type float32
fill_value 0.0
size 262467993600
shape 7032, 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

water_class1#

Field Value
paper_ref Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.
ref http://www.sciencedirect.com/science/article/pii/S0034425717301396
grid_mapping crs
long_name Normalised water class 1 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

water_class10#

Field Value
long_name Normalised water class 10 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
paper_ref Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.
ref http://www.sciencedirect.com/science/article/pii/S0034425717301396
grid_mapping crs
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

water_class11#

Field Value
long_name Normalised water class 11 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
grid_mapping crs
paper_ref Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.
ref http://www.sciencedirect.com/science/article/pii/S0034425717301396
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

water_class12#

Field Value
long_name Normalised water class 12 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
grid_mapping crs
paper_ref Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.
ref http://www.sciencedirect.com/science/article/pii/S0034425717301396
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

water_class13#

Field Value
long_name Normalised water class 13 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
paper_ref Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.
ref http://www.sciencedirect.com/science/article/pii/S0034425717301396
grid_mapping crs
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

water_class14#

Field Value
long_name Normalised water class 14 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
grid_mapping crs
paper_ref Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.
ref http://www.sciencedirect.com/science/article/pii/S0034425717301396
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

water_class2#

Field Value
long_name Normalised water class 2 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
grid_mapping crs
paper_ref Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.
ref http://www.sciencedirect.com/science/article/pii/S0034425717301396
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

water_class3#

Field Value
long_name Normalised water class 3 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
grid_mapping crs
paper_ref Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.
ref http://www.sciencedirect.com/science/article/pii/S0034425717301396
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

water_class4#

Field Value
long_name Normalised water class 4 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
paper_ref Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.
ref http://www.sciencedirect.com/science/article/pii/S0034425717301396
grid_mapping crs
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

water_class5#

Field Value
long_name Normalised water class 5 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
grid_mapping crs
paper_ref Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.
ref http://www.sciencedirect.com/science/article/pii/S0034425717301396
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

water_class6#

Field Value
long_name Normalised water class 6 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
grid_mapping crs
paper_ref Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.
ref http://www.sciencedirect.com/science/article/pii/S0034425717301396
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

water_class7#

Field Value
long_name Normalised water class 7 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
paper_ref Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.
ref http://www.sciencedirect.com/science/article/pii/S0034425717301396
grid_mapping crs
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

water_class8#

Field Value
long_name Normalised water class 8 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
grid_mapping crs
paper_ref Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.
ref http://www.sciencedirect.com/science/article/pii/S0034425717301396
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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

water_class9#

Field Value
long_name Normalised water class 9 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
grid_mapping crs
paper_ref Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.
ref http://www.sciencedirect.com/science/article/pii/S0034425717301396
orig_data_type float32
fill_value 9.96921e+36
size 262467993600
shape 7032, 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
project Climate Change Initiative - European Space Agency
references http://www.esa-oceancolour-cci.org/
source NASA SeaWiFS L2 R2014.0 LAC and GAC, MODIS-Aqua L1A, MERIS L1B 3rd reprocessing inc OCL corrections, NASA VIIRS L2 R2014.0.1 (data identical to R2014.0.2)
title ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 3.1
product_version 3-1
history Source data were: NASA OBPG SeaWiFS level2 R2014.0 LAC and GAC [A/C via l2gen], NASA OBPG VIIRS L2 R2014.0.1 (identical to R2014.0.2) [A/C via l2gen], NASA OBPG MODIS Aqua level 1A [A/C: l2gen equivalent to R2014.0.1 + Polymer 3.5] and ESA MERIS L1B (3rd reprocessing inc OCL correction) [Polymer v3.5]; 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) and Thomas Jackson et al (2017)
ecv OC
institute Plymouth Marine Laboratory
product_string MERGED
data_type RRS
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 3.1 Remote Sensing Reflectance 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). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is 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 2018-06-25T17:51:44
uuid 806b30b9dc7f44e6bd56a46d8bccf279
catalog_url https://catalogue.ceda.ac.uk/uuid/806b30b9dc7f44e6bd56a46d8bccf279
sensor_id multi-sensor
platform_id multi-platform
cci_project OC