Publications des scientifiques de l'IRD

Sepulveda H. H., Marchesiello Patrick, Li Z. J. (2013). Oceanic data assimilation study in northern Chile : use of a 3DVAR method. Latin American Journal of Aquatic Research, 41 (3), p. 570-575. ISSN 0718-560X.

Titre du document
Oceanic data assimilation study in northern Chile : use of a 3DVAR method
Année de publication
2013
Type de document
Article référencé dans le Web of Science WOS:000322262000018
Auteurs
Sepulveda H. H., Marchesiello Patrick, Li Z. J.
Source
Latin American Journal of Aquatic Research, 2013, 41 (3), p. 570-575 ISSN 0718-560X
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.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Limnologie physique / Océanographie physique [032]
Description Géographique
CHILI
Localisation
Fonds IRD [F B010060622]
Identifiant IRD
fdi:010060622
Contact