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

Sepúlveda, Héctor H; Marchesiello, Patrick; Li, Zhijin

Keywords: northern chile, data assimilation, norte de Chile, ocean forecast, observational system simulation, pronóstico oceánico, simulación de sistemas observacionales, asimilación de datos


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.

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Título según SCIELO: Oceanic data assimilation study in northern Chile: use of a 3DVAR
Título de la Revista: Aquaculture
Volumen: 41
Número: 3
Editorial: Facultad de Recursos Naturales. Escuela de Ciencias del Mar, Pontificia Universidad Católica de Valparaíso
Fecha de publicación: 2013
Página de inicio: 570
Página final: 575
Idioma: en