[ARCHIVE] Baltic 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'''This product has been archived'''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) estimated via regional algorithm (BalAlg) applied over the Rrs spectra provided by the Plymouth Marine Laboratory using an ad-hoc configuration of the ESA-CCI processor for CMEMS at high resolution. This version has the qualification of the fully reprocessed time series (1997-2020) based on CCIv4 that incorporates NASA R2018.0 reprocessing for MODIS-AQUA, SeaWiFS and VIIRS, and POLYMER atmospheric correction for MERIS R2012.0. These Rrs spectra are the result of state-of-the-art algorithms for multi-sensor merging. BalAlg is an updated version of D’Alimonte et al. (2012). Surface chlorophyll concentration is obtained via a Multilayer Perceptron (MLP) neural nets based on Rrs values at six individual wavelengths (412, 443,490, 510, 555 and 670 nm) that features interpolation capabilities helpful to fit data nonlinearities. The analysis of different test cases led us to adopt a mixing solution similar to the so-called “mixture of expert” approach in statistical pattern recognition. The idea is to rely on a set of MLPs that use Rrs at different wavelengths as input, rather than on a single MLP based on all wavelengths (or a fixed subset of wavelengths) only. Trials have led to consider, as a final Chl-a estimate, the average result of individual MLPs based on different Rrs spectral subsets by weighting their contribution through the corresponding novelty index.
'''Processing information:'''
This version has the qualification of the fully reprocessed time series (1997-2018) based on CCIv4 that incorporates NASA atmospheric correction and the R2018.0 reprocessing for MODIS-AQUA, SeaWiFS and VIIRS, and POLYMER atmospheric correction for MERIS R2012.0. Rrs data, produced for CMEMS by Plymouth Marine Laboratory (PML) using an ad-hoc configuration of the ESA-CCI processor for CMEMS at high resolution, are converted to chlorophyll concentration 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). This product is remapped at 1 km spatial resolution using cylindrical equirectangular projection.
'''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-bal-chl-multi_cci-l3-chl_1km_daily-rep-v02
'''Files format :'''
*CF-1.4
*INSPIRE compliant
'''DOI (product) :'''
Simple
- Title
-
[ARCHIVE] Baltic Sea Reprocessed Surface Chlorophyll Concentration from Multi Satellite observations
- Alternate title
-
OCEANCOLOUR_BAL_CHL_L3_REP_OBSERVATIONS_009_080
- Date (Creation)
- 2012-08-26
- Edition
-
2.1
- Edition date
- 2021-04-26
- Citation identifier
- 25c11079-b760-4641-b0d2-f40efd3a594d
- 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) estimated via regional algorithm (BalAlg) applied over the Rrs spectra provided by the Plymouth Marine Laboratory using an ad-hoc configuration of the ESA-CCI processor for CMEMS at high resolution. This version has the qualification of the fully reprocessed time series (1997-2020) based on CCIv4 that incorporates NASA R2018.0 reprocessing for MODIS-AQUA, SeaWiFS and VIIRS, and POLYMER atmospheric correction for MERIS R2012.0. These Rrs spectra are the result of state-of-the-art algorithms for multi-sensor merging. BalAlg is an updated version of D’Alimonte et al. (2012). Surface chlorophyll concentration is obtained via a Multilayer Perceptron (MLP) neural nets based on Rrs values at six individual wavelengths (412, 443,490, 510, 555 and 670 nm) that features interpolation capabilities helpful to fit data nonlinearities. The analysis of different test cases led us to adopt a mixing solution similar to the so-called “mixture of expert” approach in statistical pattern recognition. The idea is to rely on a set of MLPs that use Rrs at different wavelengths as input, rather than on a single MLP based on all wavelengths (or a fixed subset of wavelengths) only. Trials have led to consider, as a final Chl-a estimate, the average result of individual MLPs based on different Rrs spectral subsets by weighting their contribution through the corresponding novelty index.
'''Processing information:'''
This version has the qualification of the fully reprocessed time series (1997-2018) based on CCIv4 that incorporates NASA atmospheric correction and the R2018.0 reprocessing for MODIS-AQUA, SeaWiFS and VIIRS, and POLYMER atmospheric correction for MERIS R2012.0. Rrs data, produced for CMEMS by Plymouth Marine Laboratory (PML) using an ad-hoc configuration of the ESA-CCI processor for CMEMS at high resolution, are converted to chlorophyll concentration 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). This product is remapped at 1 km spatial resolution using cylindrical equirectangular projection.
'''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-bal-chl-multi_cci-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
Rosalia SANTOLERI
Production center OC-CNR-ROMA-IT
Gianluca VOLPE
Product manager OC-CNR-ROMA-IT
Emanuele BÖHM
Local service desk OC-CNR-ROMA-IT
Javier CONCHA
Dissemination Unit OC-CNR-ROMA-IT
Simone COLELLA
Production Unit
- Maintenance and update frequency
- Irregular
- Other
-
P0M0D0H/P0M0D0H
- 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
- 1e4ae15d-bab0-4984-913f-8bdfe55a4ac1
- Association Type
- Cross reference
- Initiative Type
- Document
- Title
-
D'Alimonte, D., Zibordi, G., Berthon, J. F., Canuti, E., & Kajiyama, T. (2012). Performance and applicability of bio-optical algorithms in different European seas. Remote sensing of environment, 124, 402-412.
- 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: 11460
- Reference system identifier
- EPSG / WGS 84 (EPSG:4326)
- 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
- 25c11079-b760-4641-b0d2-f40efd3a594d
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Series
- Hierarchy level name
-
Copernicus Marine Service product specification
- Date stamp
- 2022-06-28T13:54:19.631Z
- 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