Dataset: cmems_obs-oc_med_bgc-plankton_nrt_l4-gapfree-multi-1km_P1D#

Dataset identifier: cmems_obs-oc_med_bgc-plankton_nrt_l4-gapfree-multi-1km_P1D
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_med_bgc-plankton_nrt_l4-gapfree-multi-1km_P1D')

Bounding box map#

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

Basic information#

Parameter Value
Bounding box longitude (°) -6 to 36.49999979980469
Bounding box latitude (°) 30 to 46
Time range 2023-04-04 to 2023-04-14
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
CHL Multi-sensor, multi water-type, interpolated Chlorophyll a concentration milligram m^-3

Full variable metadata#

CHL#

Field Value
long_name Multi-sensor, multi water-type, interpolated Chlorophyll a concentration
standard_name mass_concentration_of_chlorophyll_a_in_sea_water
type surface
units milligram m^-3
valid_min 0.01
valid_max 100.0

Full dataset metadata#

Field Value
references 1) Volpe, G., Colella, S., Brando, V., Forneris, V., La Padula, F., Di Cicco, A., Sammartino, M., Bracaglia, M., Artuso, F., and Santoleri, R. (2019). The Mediterranean Ocean Colour Level 3 Operational Multi-Sensor Processing, Ocean Sci., 15, 127–146, https://doi.org/10.5194/os-15-127-2019. - 2) Berthon, J. F., and G. Zibordi (2004), Bio-optical relationships for the northern Adriatic Sea, International Journal of Remote Sensing, 25, 7-8, 1527-1532. - 3) Volpe, G., Buongiorno Nardelli, B., Colella, S., Pisano, A. and Santoleri, R. (2018). An Operational Interpolated Ocean Colour Product in the Mediterranean Sea, in New Frontiers in Operational Oceanography, edited by E. P. Chassignet, A. Pascual, J. Tintorè, and J. Verron, pp. 227–244
product_level L4
parameter_code CHL
parameter chlorophyll-a concentration
comment r=log10(max([rrs443,rrs490,rrs510])/rrs555) ; chlcase1=10^[0.4567-4.2484r+2.0171r^2+2.6202r^3-2.8978r^4] ; r=log10(rrs490/rrs555) ; chlcase2=10.^[0.091-2.620r-1.148r^2-4.949r^3]. Interpolation is made via iterative EOF using the climatology as first guess. WTM and SENSORMASK fields provide the original data coverage.
start_date 2023-04-14
stop_date 2023-04-14
creation_date Sat Apr 15 2023
creation_time 02:04:06 UTC
westernmost_longitude -6.0
easternmost_longitude 36.5
southernmost_latitude 30.0
northernmost_latitude 46.0
days_in_the_future 1
days_in_the_past 10
st_location 0 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 MED
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 X2023095-chl-med-hr.nc X2023096-chl-med-hr.nc X2023097-chl-med-hr.nc X2023098-chl-med-hr.nc X2023099-chl-med-hr.nc X2023100-chl-med-hr.nc X2023101-chl-med-hr.nc X2023102-chl-med-hr.nc X2023103-chl-med-hr.nc X2023104-chl-med-hr.nc
title cmems_obs-oc_med_bgc-plankton_nrt_l4-gapfree-multi-1km_P1D
cmems_product_id OCEANCOLOUR_MED_BGC_L4_NRT_009_142