[ARCHIVE] Black Sea Reprocessed Surface Chlorophyll Concentration from Multi Satellite observations
'''This product has been archived'''
For operationnal and online products, please visit https://marine.copernicus.eu
'''Short description:'''
The Global Ocean Satellite monitoring and marine ecosystem study group (GOS) of the Italian National Research Council (CNR), in Rome, distributes surface chlorophyll concentration (mg m-3, 1 km resolution) derived from Rrs multi-sensor (MODIS-AQUA, NOAA20-VIIRS, NPP-VIIRS, Sentinel3A-OLCI) spectra at the state-of-the-art algorithms for multi-sensor merging. Single sensor Rrs fields are band-shifted, over the SeaWiFS native bands (using the QAAv6 model, Lee et al., 2002) and merged with a technique aimed at smoothing the differences among different sensors. Reprocessed (multi-year) products are consistent and homogeneous in terms of format, algorithms and processing software. The chlorophyll (Chl) product is obtained combining two different regional algorithms (BSAlg). The first is a band-ratio algorithm (B/R) (Zibordi et al., 2015) that computes Chl as a function of the slope of Rrs values at two wavelengths (490 and 555 nm) using a polynomial regression that captures the overall data trend. The second one is a Multilayer Perceptron (MLP) neural net based on Rrs values at three individual wavelengths (490, 510 and 555 nm) that features interpolation capabilities helpful to fit data nonlinearities. The merging scheme (Kajiyama et al., 2018) has been designed to use the B/R algorithm and the MLP neural net in waters exhibiting lower and higher optical complexity, respectively. The current day data temporal consistency is evaluated as Quality Index (QI):
QI=(CurrentDataPixel-ClimatologyDataPixel)/STDDataPixel
where QI is the difference between current data and the relevant climatological field as a signed multiple of climatological standard deviations (STDDataPixel).
'''Processing information:'''
Multi-sensor product is constituted by MODIS-AQUA, NOAA20-VIIRS, NPP-VIIRS and Sentinel3A-OLCI. For consistency with NASA L2 dataset, BRDF correction was applied to Sentinel3A-OLCI prior to band shifting and multi sensor merging. Single sensor NASA Level-2 data are destriped and then all Level-2 data are remapped at 1 km spatial resolution using cylindrical equirectangular projection. Afterwards, single sensor Rrs fields are band-shifted, over the SeaWiFS native bands (using the QAAv6 model, Lee et al., 2002) and merged with a technique aimed at smoothing the differences among different sensors. This technique is developed by The Global Ocean Satellite monitoring and marine ecosystem study group (GOS) of the Italian National Research Council (CNR, Rome). Then geophysical fields (i.e. chlorophyll and kd490) are estimated via state-of-the-art algorithms for better product quality. The entire data set is consistent and processed in one-shot mode (with an unique software version and identical configurations).
'''Description of observation methods/instruments:'''
Ocean colour technique exploits the emerging electromagnetic radiation from the sea surface in different wavelengths. The spectral variability of this signal defines the so-called ocean colour which is affected by the presence of phytoplankton.
'''Quality / Accuracy / Calibration information:'''
A detailed description of the calibration and validation activities performed over this product can be found on the CMEMS web portal.
'''Suitability, Expected type of users / uses:'''
This product is meant for use for educational purposes and for the managing of the marine safety, marine resources, marine and coastal environment and for climate and seasonal studies.
'''Dataset names:'''
*dataset-oc-bs-chl-multi-l3-chl_1km_daily-rep-v02
'''Files format:'''
*CF-1.4
*INSPIRE compliant
'''DOI (product) :'''
Simple
- Title
-
[ARCHIVE] Black Sea Reprocessed Surface Chlorophyll Concentration from Multi Satellite observations
- Alternate title
-
OCEANCOLOUR_BS_CHL_L3_REP_OBSERVATIONS_009_071
- Date (Creation)
- 2013-03-13
- Edition
-
2.1
- Edition date
- 2021-04-26
- Citation identifier
- a0501b52-1b8e-4fe3-a369-487563b6b23e
- Abstract
-
'''This product has been archived'''
For operationnal and online products, please visit https://marine.copernicus.eu
'''Short description:'''
The Global Ocean Satellite monitoring and marine ecosystem study group (GOS) of the Italian National Research Council (CNR), in Rome, distributes surface chlorophyll concentration (mg m-3, 1 km resolution) derived from Rrs multi-sensor (MODIS-AQUA, NOAA20-VIIRS, NPP-VIIRS, Sentinel3A-OLCI) spectra at the state-of-the-art algorithms for multi-sensor merging. Single sensor Rrs fields are band-shifted, over the SeaWiFS native bands (using the QAAv6 model, Lee et al., 2002) and merged with a technique aimed at smoothing the differences among different sensors. Reprocessed (multi-year) products are consistent and homogeneous in terms of format, algorithms and processing software. The chlorophyll (Chl) product is obtained combining two different regional algorithms (BSAlg). The first is a band-ratio algorithm (B/R) (Zibordi et al., 2015) that computes Chl as a function of the slope of Rrs values at two wavelengths (490 and 555 nm) using a polynomial regression that captures the overall data trend. The second one is a Multilayer Perceptron (MLP) neural net based on Rrs values at three individual wavelengths (490, 510 and 555 nm) that features interpolation capabilities helpful to fit data nonlinearities. The merging scheme (Kajiyama et al., 2018) has been designed to use the B/R algorithm and the MLP neural net in waters exhibiting lower and higher optical complexity, respectively. The current day data temporal consistency is evaluated as Quality Index (QI):
QI=(CurrentDataPixel-ClimatologyDataPixel)/STDDataPixel
where QI is the difference between current data and the relevant climatological field as a signed multiple of climatological standard deviations (STDDataPixel).
'''Processing information:'''
Multi-sensor product is constituted by MODIS-AQUA, NOAA20-VIIRS, NPP-VIIRS and Sentinel3A-OLCI. For consistency with NASA L2 dataset, BRDF correction was applied to Sentinel3A-OLCI prior to band shifting and multi sensor merging. Single sensor NASA Level-2 data are destriped and then all Level-2 data are remapped at 1 km spatial resolution using cylindrical equirectangular projection. Afterwards, single sensor Rrs fields are band-shifted, over the SeaWiFS native bands (using the QAAv6 model, Lee et al., 2002) and merged with a technique aimed at smoothing the differences among different sensors. This technique is developed by The Global Ocean Satellite monitoring and marine ecosystem study group (GOS) of the Italian National Research Council (CNR, Rome). Then geophysical fields (i.e. chlorophyll and kd490) are estimated via state-of-the-art algorithms for better product quality. The entire data set is consistent and processed in one-shot mode (with an unique software version and identical configurations).
'''Description of observation methods/instruments:'''
Ocean colour technique exploits the emerging electromagnetic radiation from the sea surface in different wavelengths. The spectral variability of this signal defines the so-called ocean colour which is affected by the presence of phytoplankton.
'''Quality / Accuracy / Calibration information:'''
A detailed description of the calibration and validation activities performed over this product can be found on the CMEMS web portal.
'''Suitability, Expected type of users / uses:'''
This product is meant for use for educational purposes and for the managing of the marine safety, marine resources, marine and coastal environment and for climate and seasonal studies.
'''Dataset names:'''
*dataset-oc-bs-chl-multi-l3-chl_1km_daily-rep-v02
'''Files format:'''
*CF-1.4
*INSPIRE compliant
'''DOI (product) :'''
- Credit
-
E.U. Copernicus Marine Service Information
- Point of contact
-
Organisation name Individual name Electronic mail address Role OC-CNR-ROMA-IT
Emanuele BÖHM
Local service desk OC-CNR-ROMA-IT
Rosalia SANTOLERI
Production center OC-CNR-ROMA-IT
Gianluca VOLPE
Product manager OC-CNR-ROMA-IT
Simone COLELLA
Production Unit OC-CNR-ROMA-IT
Javier CONCHA
Dissemination Unit
- Maintenance and update frequency
- Irregular
- Other
-
/
- Maintenance note
-
N/A
-
GEMET - INSPIRE themes, version 1.0
- Use limitation
-
See Copernicus Marine Environment Monitoring Service Data commitments and licence at: http://marine.copernicus.eu/web/27-service-commitments-and-licence.php
- Access constraints
- Other restrictions
- Use constraints
- License
- Other legal constraints
-
No limitations on public access
- Aggregate Datasetindentifier
- 7bdc830b-6321-4ffb-ae76-8707256c6d03
- Association Type
- Cross reference
- Initiative Type
- Document
- Aggregate Datasetindentifier
- e0f8a482-d960-4c72-8976-8c63873ea4de
- Association Type
- Cross reference
- Initiative Type
- Document
- Title
-
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. [Online]. Available: https://-www.doi.org/¬10.1109/¬LGRS.2018.2883539.
- Date (Creation)
- 2019-05-08
- Association Type
- Cross reference
- Initiative Type
- Reference
- Title
-
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.
- Date (Creation)
- 2019-05-08
- Association Type
- Cross reference
- Initiative Type
- Reference
- Language
-
eng
- Topic category
-
- Oceans
- Description
-
bounding box
- Begin date
- 1997-09-04
Vertical extent
- Minimum value
- 0
- Maximum value
- 0
Vertical CRS
- Supplemental Information
-
display priority: 11860
- Reference system identifier
- EPSG / WGS 84 / Plate Carree (EPSG:32662)
- Number of dimensions
- 2
- Dimension name
- Row
- Resolution
- 1 km
- Dimension name
- Column
- Resolution
- 1 km
- Cell geometry
- Area
- Transformation parameter availability
- Distribution format
-
Name Version NetCDF-4
Classic model
- Hierarchy level
- Series
Conformance result
- Title
-
COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
- Date (Publication)
- 2010-12-08
- Explanation
-
See the referenced specification
- Statement
-
The myOcean products depends on other products for production or validation. The detailed list of dependencies is given in ISO19115's aggregationInfo (ISO19139 Xpath = "gmd:MD_Metadata/gmd:identificationInfo/gmd:aggregationInfo[./gmd:MD_AggregateInformation/gmd:initiativeType/gmd:DS_InitiativeTypeCode/@codeListValue='upstream-validation' or 'upstream-production']")
- Attribute description
- observation
- Content type
- Physical measurement
- Descriptor
-
temporal resolution: daily mean
- Descriptor
-
vertical level number: 1
- Included with dataset
- Feature types
- Grid
Metadata
- File identifier
- a0501b52-1b8e-4fe3-a369-487563b6b23e
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Series
- Hierarchy level name
-
Copernicus Marine Service product specification
- Date stamp
- 2022-06-28T14:33:43.581Z
- Metadata standard name
-
ISO 19139, MyOcean profile
- Metadata standard version
-
0.2
- Metadata author
-
Organisation name Individual name Electronic mail address Role CMEMS
Local service desk