Dataset: ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 5.0#

Dataset identifier: esacci.OC.day.L3S.CHLOR_A.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.day.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.5-0.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 1997-09-04 to 2020-12-31
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]
OLCI_nobs Count of the number of observations from the OLCI sensor contributing to this bin cell [none]
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]
chlor_a Chlorophyll-a concentration in seawater (not log-transformed), generated by as a blended combination of OCI, OCI2, OC2 and OCx algorithms, 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 Count of the total number of observations contributing to this bin cell [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 317036851200
shape 8494, 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 317036851200
shape 8494, 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#

Field Value
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 317036851200
shape 8494, 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 317036851200
shape 8494, 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 317036851200
shape 8494, 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

chlor_a#

Field Value
long_name Chlorophyll-a concentration in seawater (not log-transformed), generated by as a blended combination of OCI, OCI2, OC2 and OCx algorithms, depending on water class memberships
units milligram m-3
ancillary_variables chlor_a_log10_rmsd chlor_a_log10_bias
grid_mapping crs
parameter_vocab_uri http://vocab.ndg.nerc.ac.uk/term/P011/current/CHLTVOLU
standard_name mass_concentration_of_chlorophyll_a_in_sea_water
units_nonstandard mg m^-3
orig_data_type float32
fill_value 9.96921e+36
size 317036851200
shape 8494, 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

chlor_a_log10_bias#

Field Value
rel uncertainty
ref http://www.esa-oceancolour-cci.org/?q=webfm_send/581
grid_mapping crs
comment Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/chlor_a/cci_chla_bias.dat
long_name Bias of log10-transformed chlorophyll-a concentration in seawater.
orig_data_type float32
fill_value 9.96921e+36
size 317036851200
shape 8494, 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

chlor_a_log10_rmsd#

Field Value
comment Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/chlor_a/cci_chla_rmsd.dat
ref http://www.esa-oceancolour-cci.org/?q=webfm_send/581
rel uncertainty
long_name Root-mean-square-difference of log10-transformed chlorophyll-a concentration in seawater.
grid_mapping crs
orig_data_type float32
fill_value 9.96921e+36
size 317036851200
shape 8494, 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 8494
shape 8494
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 317036851200
shape 8494, 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 chlorophyll-a data products gridded on a geographic projection, Version 5.0
history Source data were: NASA OBPG SeaWiFS level1 R2018.0 LAC and GAC [A/C via l2gen], NASA OBPG VIIRS L1 R2018.0 [A/C via polymer], NASA OBPG MODIS Aqua L1 R2018.0 (A/C via polymer), ESA MERIS L1B (3rd reprocessing inc OCL correction) [Polymer v4.12] and OLCI L1B [Polymer v4.12]; 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) as updated by Jackson et al. (2017) and Jackson et al. (in prep). 1604064766 Subsetted from standardised_geo/ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-19970909-fv5.0.nc to only include variables MERIS_nobs,MODISA_nobs,OLCI_nobs,SeaWiFS_nobs,VIIRS_nobs,chlor_a,chlor_a_log10_bias,chlor_a_log10_rmsd,crs,lat,lon,time,total_nobs
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 5.0 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites) covering the period 1997 - 2020. Note, this chlor_a data is also included in 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 2021-05-12T13:10:38
uuid e9f82908fd9c48138b31e5cfaa6d692b
catalog_url https://catalogue.ceda.ac.uk/uuid/e9f82908fd9c48138b31e5cfaa6d692b
sensor_id multi-sensor
platform_id multi-platform
cci_project OC