Efecto residual de la nubosidad en la asimilación de temperatura superficial del mar

Authors

  • Juan C. Anduckia Centro de Investigaciones Oceanográficas e Hidrográficas (CIOH)
  • Serguei A. Lonin Centro de Investigaciones Oceanográficas e Hidrográficas (CIOH)

DOI:

https://doi.org/10.26640/22159045.126

Keywords:

Satellite data treatment, sea-surface temperature, auto-regressive models

Abstract

Sea-surface temperature determined with NOAA satellites is treated by means of the application of an auto-regressive model. The auto-regressive model should be employed for improving assimilation performance whenever the satellite sea-surface field, because of water vapour and cloudiness effects, presents a temporal variability with a random component whose noise has not been filtered in the signal.

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References

Anduckia J., Lonin S., Parra C., Molares R. (2003), “Validación de imágenes satelitales de temperatura superficial del mar mediante observaciones in situ”, Boletín Científico No. 21, pp. CIOH 2003.

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Donlon C., Minnett P., Gentemann C., Nightingale T., Barton I., Ward B., Murray M.(2002), “Toward improved validation of satellite sea surface skin temperature measurements for climate research”, Journal of Climate15 (feb. 2002), pp. 353-368.

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Lonin S., Anduckia J., Parra C., Molares, R. (2003). Sistema de Pronóstico de las Condiciones Oceanográficas del Mar Caribe para Operaciones Navales. Boletín Científico No. 21, pp. 8-27, CIOH 2003.

Stowe L., Mc Clain E., Carey R., Pellegrino P., Gutman G., Davis P., Long C., Hart S. (1991), “Global distribution of cloud cover derived from NOAA/AVHRR operational satellite data”, Advances in Space Research 11 (3), p. 351-354.

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Published

2004-12-01

Issue

Section

RESEARCH ARTICLE

How to Cite

Efecto residual de la nubosidad en la asimilación de temperatura superficial del mar. (2004). CIOH Scientific Bulletin, 22, 36-44. https://doi.org/10.26640/22159045.126

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