Pre-operational short-term forecasts for Mediterranean Sea biogeochemistry

Operational prediction of the marine environment is recognised as a fundamental research issue in Europe. We present a pre-operational implementation of a biogeochemical model for the pelagic waters of the Mediterranean Sea, developed within the framework of the MERSEA-IP European project. The OPATM...

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Main Authors: P. Lazzari, A. Teruzzi, S. Salon, S. Campagna, C. Calonaci, S. Colella, M. Tonani, A. Crise
Format: Article
Language:English
Published: Copernicus Publications 2010-01-01
Series:Ocean Science
Online Access:http://www.ocean-sci.net/6/25/2010/os-6-25-2010.pdf
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spelling doaj-dd3c3b51a56d43ce87870016f5fa3c572020-11-25T02:02:19ZengCopernicus PublicationsOcean Science1812-07841812-07922010-01-01612539Pre-operational short-term forecasts for Mediterranean Sea biogeochemistryP. LazzariA. TeruzziS. SalonS. CampagnaC. CalonaciS. ColellaM. TonaniA. CriseOperational prediction of the marine environment is recognised as a fundamental research issue in Europe. We present a pre-operational implementation of a biogeochemical model for the pelagic waters of the Mediterranean Sea, developed within the framework of the MERSEA-IP European project. The OPATM-BFM coupled model is the core of a fully automatic system that delivers weekly analyses and forecast maps for the Mediterranean Sea biogeochemistry. The system has been working in its current configuration since April 2007 with successful execution of the fully automatic operational chain in 87% of the cases while in the remaining cases the runs were successfully accomplished after operator intervention. A description of the system developed and also a comparison of the model results with satellite data are presented, together with a measure of the model skill evaluated by means of seasonal target diagrams. Future studies will address the implementation of a data assimilation scheme for the biogeochemical compartment in order to increase the skill of the model's performance. http://www.ocean-sci.net/6/25/2010/os-6-25-2010.pdf
collection DOAJ
language English
format Article
sources DOAJ
author P. Lazzari
A. Teruzzi
S. Salon
S. Campagna
C. Calonaci
S. Colella
M. Tonani
A. Crise
spellingShingle P. Lazzari
A. Teruzzi
S. Salon
S. Campagna
C. Calonaci
S. Colella
M. Tonani
A. Crise
Pre-operational short-term forecasts for Mediterranean Sea biogeochemistry
Ocean Science
author_facet P. Lazzari
A. Teruzzi
S. Salon
S. Campagna
C. Calonaci
S. Colella
M. Tonani
A. Crise
author_sort P. Lazzari
title Pre-operational short-term forecasts for Mediterranean Sea biogeochemistry
title_short Pre-operational short-term forecasts for Mediterranean Sea biogeochemistry
title_full Pre-operational short-term forecasts for Mediterranean Sea biogeochemistry
title_fullStr Pre-operational short-term forecasts for Mediterranean Sea biogeochemistry
title_full_unstemmed Pre-operational short-term forecasts for Mediterranean Sea biogeochemistry
title_sort pre-operational short-term forecasts for mediterranean sea biogeochemistry
publisher Copernicus Publications
series Ocean Science
issn 1812-0784
1812-0792
publishDate 2010-01-01
description Operational prediction of the marine environment is recognised as a fundamental research issue in Europe. We present a pre-operational implementation of a biogeochemical model for the pelagic waters of the Mediterranean Sea, developed within the framework of the MERSEA-IP European project. The OPATM-BFM coupled model is the core of a fully automatic system that delivers weekly analyses and forecast maps for the Mediterranean Sea biogeochemistry. The system has been working in its current configuration since April 2007 with successful execution of the fully automatic operational chain in 87% of the cases while in the remaining cases the runs were successfully accomplished after operator intervention. A description of the system developed and also a comparison of the model results with satellite data are presented, together with a measure of the model skill evaluated by means of seasonal target diagrams. Future studies will address the implementation of a data assimilation scheme for the biogeochemical compartment in order to increase the skill of the model's performance.
url http://www.ocean-sci.net/6/25/2010/os-6-25-2010.pdf
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