Dataset: cmems_obs-oc_blk_bgc-plankton_nrt_l3-olci-300m_P1D#
Dataset identifier: cmems_obs-oc_blk_bgc-plankton_nrt_l3-olci-300m_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_blk_bgc-plankton_nrt_l3-olci-300m_P1D')
Bounding box map#
cmems_store = new_data_store('cmems')
ds = cmems_store.open_data('cmems_obs-oc_blk_bgc-plankton_nrt_l3-olci-300m_P1D')
Map tiles and data from OpenStreetMap, under the ODbL.
Basic information#
| Parameter | Value |
|---|---|
| Bounding box longitude (°) | 26.500000006054687 to 42 |
| Bounding box latitude (°) | 40 to 48 |
| Time range | 2023-04-08 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 | Chlorophyll a concentration | milligram m^-3 |
| QI_CHL | Quality Index for OLCI Chlorophyll a concentration | 1 |
| SENSORMASK | Sensor Mask | 1 |
Full variable metadata#
CHL#
| Field | Value |
|---|---|
| band_name | OLCI band name CHL |
| long_name | 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 |
| comment | DAlimonte Kajiyama |
QI_CHL#
| Field | Value |
|---|---|
| long_name | Quality Index for OLCI Chlorophyll a concentration |
| comment | QI=(log(DailyData)-ClimatologyMedianData))/ClimatologyStandardDeviation |
| type | surface |
| units | 1 |
| valid_min | -5.0 |
| valid_max | 5.0 |
| climatology_file | /store2/data/s_climatology/hr_new/104/S104-chl-bs-hr-clima.nc |
SENSORMASK#
| Field | Value |
|---|---|
| comment | OLCI Sentinel-3A=1; OLCI Sentinel-3B=2. Each SENSORMASK pixel is the sum of all available sensor values. For example, if a pixel is observed by OLCI Sentinel-3A and OLCI Sentinel-3B then SENSORMASK = 3 |
| valid_min | 1 |
| valid_max | 31 |
| long_name | Sensor Mask |
| type | surface |
| units | 1 |
Full dataset metadata#
| Field | Value |
|---|---|
| netcdf_version | v4 |
| Conventions | CF-1.4 |
| platform | Sentinel3A+B |
| product_level | L3 |
| contact | technical@gos.artov.isac.cnr.it |
| institution | CNR-GOS |
| references | 1) Zibordi, G., F. Melin, 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. - 2) Kajiyama T., D. DAlimonte, 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 |
| sensor | Ocean and Land Colour Instrument |
| sensor_name | OLCIA+B |
| reproject | /home/gosuser/Processing/OC_PROC_EIS202211/s3olciProcessing/s3olciL2proc.py |
| easternmost_longitude | 42.0 |
| westernmost_longitude | 26.5 |
| northernmost_latitude | 48.0 |
| southernmost_latitude | 40.0 |
| start_date | 2023-04-14 |
| stop_date | 2023-04-14 |
| grid_resolution | 0.3 km |
| grid_mapping | Equirectangular |
| software_name | GOS Processing chain |
| creation_date | 2023-04-15 |
| creation_time | 02:50:13 UTC |
| distribution_statement | See CMEMS Data License |
| naming_authority | CMEMS |
| cmems_production_unit | OC-CNR-ROMA-IT |
| source | surface observation |
| timeliness | NR |
| product_version | v02QL |
| area | bs |
| mosaic | /home/gosuser/Processing/OC_PROC_EIS202211/s3olciProcessing/s3olcimosaic.py |
| source_files | Oa2023104-chl-bs-fr.nc, Ob2023104-chl-bs-fr.nc |
| site_name | BS |
| parameter_code | PLANKTON |
| parameter | Chlorophyll-a concentration and Phytoplankton Functional Types |
| title | cmems_obs-oc_blk_bgc-plankton_nrt_l3-olci-300m_P1D |
| cmems_product_id | OCEANCOLOUR_BLK_BGC_L3_NRT_009_151 |