Asimilación de datos de temperatura superficial del mar en el modelo de pronóstico de las condiciones oceanográficas del Mar Caribe
DOI:
https://doi.org/10.26640/22159045.114Keywords:
Caribe Sea, hydrodynamical forecasting model, data assimilation, sea surface temperatures, satellites NOAAAbstract
During the scientific project, "Numerical modeling applied to the Search and Rescue and naval operations", developed by the Centro de Investigaciones Oceanográficas e Hidrográficas (Colombian Navy), the concept of data assimilation, with a description of the methods used in 2003 for assimilation of sea-surface temperature from NOAA's satellites in the hydrodynarnical forecasting model for the Caribbean Sea, are presented.
Observations and filters are described and discussed. The two less complex assimilation techniques from a computational point of view are compared: these are the successive corrections scheme based on Cressman's method, and optimal interpolation. In general, the latter performs better and reduces variability of the analyzed fields, but it's more time-consuming.
Some results and advantages of the assimilation with both schemes are discussed.
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References
Anduckia J., Lonin S., Molares R & Parra C. (2003), "Validación de imágenes satelitales de temperatura superficial del mar mediante observaciones in situ", este mismo boletín.
Bouttier P. & Courtier P. (2002), "Asiimilations methods and concepts", Meteorological Training Course Lectures, ECMWF.
Cressman C. (1959), "An operational objective analysis system", en. Monthly Weather Review 106, 367-374.
Hólm V. E. (2003)., "Assimilation algorithms". Meteorological Training Course Lectures, ECMWF.
Levitus S. (2001), World Ocean Atlas 2001, NOAA Atlas NESDIS 54, Silver Spring, MD.
Lonin S., Parra C., Molares R & Anduckia J (2003a)., Sistema de pronóstico de las condiciones oceanográficas del mar Caribe para operaciones navales", este mismo boletín.
Lonin S., Anduckia J., Parra C., Molares, R. (2003b), "Modelo de circulación oceánica con asimilación de datos para el Caribe aplicado en derrame de hidrocarburos, pesquería y búsqueda y rescate", Memorias del Seminario Nacional de Ciencias del Mar, Santa Marta, abril de 2003.
Stowe L., McClain P., Carey R. et al. (1991), "Global distribution of cloud cover derived from NOAA AI7-IRR operational satellite data", Advances in Space Research 11(3), p. 351-354.
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