Oceanic data assimilation study in northern Chile: use of a 3DVAR

We report the use of a 3-dimensional variational (3DVAR) data assimilation method as part of a numerical model off northern Chile. The numerical model is part of an ocean forecasting project that aims to understand the impact of environmental variability on the distribution of biological species in...

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Autores principales:	Sepúlveda,Héctor H, Marchesiello,Patrick, Li,Zhijin
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Valparaíso. Facultad de Recursos Naturales. Escuela de Ciencias del Mar 2013
Materias:	ocean forecast observational system simulation data assimilation northern Chile
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-560X2013000300018
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spelling	oai:scielo:S0718-560X20130003000182013-10-15Oceanic data assimilation study in northern Chile: use of a 3DVARSepúlveda,Héctor HMarchesiello,PatrickLi,Zhijin ocean forecast observational system simulation data assimilation northern Chile We report the use of a 3-dimensional variational (3DVAR) data assimilation method as part of a numerical model off northern Chile. The numerical model is part of an ocean forecasting project that aims to understand the impact of environmental variability on the distribution of biological species in the area. We assimilated data from a simulated ocean observing system to recover a known state, obtaining a significantly smaller error when compared to a numerical run with no assimilation. Our results validate the computational implementation of the code, and allow us to evaluate the impact of the choice of data in the assimilation process: the assimilation of sea surface height being particularly important. We note that the assimilation of surface data propagates properly to greater depths and reduces the error with reference to the known state. This was possible by using covariance error matrices calculated previously for the California coastal area. The implementation of the data assimilation module is relatively simple and permits its use in operational forecasting systems, and for the design and evaluation of future ocean observational systems.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Valparaíso. Facultad de Recursos Naturales. Escuela de Ciencias del MarLatin american journal of aquatic research v.41 n.3 20132013-07-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-560X2013000300018en103856/vol41-issue3-fulltext-18
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	ocean forecast observational system simulation data assimilation northern Chile
spellingShingle	ocean forecast observational system simulation data assimilation northern Chile Sepúlveda,Héctor H Marchesiello,Patrick Li,Zhijin Oceanic data assimilation study in northern Chile: use of a 3DVAR
description	We report the use of a 3-dimensional variational (3DVAR) data assimilation method as part of a numerical model off northern Chile. The numerical model is part of an ocean forecasting project that aims to understand the impact of environmental variability on the distribution of biological species in the area. We assimilated data from a simulated ocean observing system to recover a known state, obtaining a significantly smaller error when compared to a numerical run with no assimilation. Our results validate the computational implementation of the code, and allow us to evaluate the impact of the choice of data in the assimilation process: the assimilation of sea surface height being particularly important. We note that the assimilation of surface data propagates properly to greater depths and reduces the error with reference to the known state. This was possible by using covariance error matrices calculated previously for the California coastal area. The implementation of the data assimilation module is relatively simple and permits its use in operational forecasting systems, and for the design and evaluation of future ocean observational systems.
author	Sepúlveda,Héctor H Marchesiello,Patrick Li,Zhijin
author_facet	Sepúlveda,Héctor H Marchesiello,Patrick Li,Zhijin
author_sort	Sepúlveda,Héctor H
title	Oceanic data assimilation study in northern Chile: use of a 3DVAR
title_short	Oceanic data assimilation study in northern Chile: use of a 3DVAR
title_full	Oceanic data assimilation study in northern Chile: use of a 3DVAR
title_fullStr	Oceanic data assimilation study in northern Chile: use of a 3DVAR
title_full_unstemmed	Oceanic data assimilation study in northern Chile: use of a 3DVAR
title_sort	oceanic data assimilation study in northern chile: use of a 3dvar
publisher	Pontificia Universidad Católica de Valparaíso. Facultad de Recursos Naturales. Escuela de Ciencias del Mar
publishDate	2013
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-560X2013000300018
work_keys_str_mv	AT sepulvedahectorh oceanicdataassimilationstudyinnorthernchileuseofa3dvar AT marchesiellopatrick oceanicdataassimilationstudyinnorthernchileuseofa3dvar AT lizhijin oceanicdataassimilationstudyinnorthernchileuseofa3dvar
_version_	1714205111655333888

Oceanic data assimilation study in northern Chile: use of a 3DVAR

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