Dataset: cmems_obs-oc_blk_bgc-plankton_nrt_l4-multi-1km_P1M#

Dataset identifier: cmems_obs-oc_blk_bgc-plankton_nrt_l4-multi-1km_P1M
Data store: cmems

How to open this dataset in AVL JupyterLab  

cmems_store = new_data_store('cmems')
ds = cmems_store.open_data('cmems_obs-oc_blk_bgc-plankton_nrt_l4-multi-1km_P1M')

Bounding box map#

Bounding box map
Map tiles and data from OpenStreetMap, under the ODbL.

Basic information#

Parameter Value
Bounding box longitude (°) 26.49999899145508 to 42
Bounding box latitude (°) 40 to 48
Time range 2023-02-01 to 2023-02-01

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
CHL Monthly Multi-sensor and multi water-type Chlorophyll a concentration milligram m^-3
CHL_count Multi-sensor and multi water-type Number Of Observations Of Monthly Chlorophyll a concentration 1
CHL_error Multi-sensor and multi water-type Standard Deviation Of Monthly Chlorophyll a concentration milligram m^-3

Full variable metadata#

CHL#

Field Value
long_name Monthly Multi-sensor and multi water-type Chlorophyll a concentration
standard_name mass_concentration_of_chlorophyll_a_in_sea_water
type surface
units milligram m^-3
cell_methods time: mean (interval: 1 month comment: sampled instantaneously)
valid_min 0.01
valid_max 100.0

CHL_count#

Field Value
long_name Multi-sensor and multi water-type Number Of Observations Of Monthly Chlorophyll a concentration
type surface
units 1
valid_min 0.0
valid_max 31.0

CHL_error#

Field Value
long_name Multi-sensor and multi water-type Standard Deviation Of Monthly Chlorophyll a concentration
type surface
units milligram m^-3
valid_min 0.001
valid_max 100.0

Full dataset metadata#

Field Value
references 1) Zibordi, G., F. Mélin, J.-F. Berthon, and M. Talone (2015). In situ autonomous optical radiometry measurements for satellite ocean color validation in the Western Black Sea. Ocean Sci., 11, 275–286, 2015 - 2) Kajiyama T., D. D’Alimonte, and G. Zibordi, “Algorithms merging for the determination of Chlorophyll-a concentration in the Black Sea,” IEEE Geoscience and Remote Sensing Letters, 2018. https://www.doi.org/10.1109/LGRS.2018.2883539
product_level L4
parameter_code CHL
parameter chlorophyll-a concentration
comment
start_date 2023-02-01
stop_date 2023-02-28
creation_date Wed Mar 08 2023
creation_time 08:03:43 UTC
westernmost_longitude 26.5
easternmost_longitude 42.0
southernmost_latitude 40.0
northernmost_latitude 48.0
contact technical@gos.artov.isac.cnr.it
netcdf_version v4
grid_mapping Equirectangular
software_name GOS Processing chain
history
source surface observation
start_time 08:00:00 UTC
stop_time 14:00:00 UTC
file_quality_index 0
citation
distribution_statement See CMEMS Data License
naming_authority CMEMS
cmems_production_unit OC-CNR-ROMA-IT
institution CNR-GOS
software_version v3.0
site_name BS
product_version v02QL
Conventions CF-1.4
platform Aqua (EOS PM) satellites,JPSS-1,Sentinel-3a,Sentinel-3b,Suomi-NPP
sensor_name MODIS,VIIRSJ,OLCIA,OLCIB,VIIRSN
sensor MODIS Moderate Resolution Imaging Spectroradiometer,VIIRSJ Visible Infrared Imaging Radiometer Suite,OLCIA Ocean and Land Colour Instrument,OLCIB Ocean and Land Colour Instrument,VIIRSN Visible Infrared Imaging Radiometer Suite
grid_resolution 1 Km
source_files X2023032-chl-bs-hr.nc X2023033-chl-bs-hr.nc X2023034-chl-bs-hr.nc X2023035-chl-bs-hr.nc X2023036-chl-bs-hr.nc X2023037-chl-bs-hr.nc X2023038-chl-bs-hr.nc X2023039-chl-bs-hr.nc X2023040-chl-bs-hr.nc X2023041-chl-bs-hr.nc X2023042-chl-bs-hr.nc X2023043-chl-bs-hr.nc X2023044-chl-bs-hr.nc X2023045-chl-bs-hr.nc X2023046-chl-bs-hr.nc X2023047-chl-bs-hr.nc X2023048-chl-bs-hr.nc X2023049-chl-bs-hr.nc X2023050-chl-bs-hr.nc X2023051-chl-bs-hr.nc X2023052-chl-bs-hr.nc X2023053-chl-bs-hr.nc X2023054-chl-bs-hr.nc X2023055-chl-bs-hr.nc X2023056-chl-bs-hr.nc X2023057-chl-bs-hr.nc X2023058-chl-bs-hr.nc X2023059-chl-bs-hr.nc
title cmems_obs-oc_blk_bgc-plankton_nrt_l4-multi-1km_P1M
cmems_product_id OCEANCOLOUR_BLK_BGC_L4_NRT_009_152