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Sea surface temperature estimation from the Geostationary Operational Environmental Satellite 12 (GOES-12)

Merchant, C. J., Harris, A. R., Maturi, E., Embury, O., MacCallum, S. N., Mittaz, J. and Old, C. P. (2009) Sea surface temperature estimation from the Geostationary Operational Environmental Satellite 12 (GOES-12). Journal of Atmospheric and Oceanic Technology, 26 (3). pp. 570-581. ISSN 1520-0426

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To link to this item DOI: 10.1175/2008JTECHO596.1

Abstract/Summary

This paper describes the techniques used to obtain sea surface temperature (SST) retrievals from the Geostationary Operational Environmental Satellite 12 (GOES-12) at the National Oceanic and Atmospheric Administration’s Office of Satellite Data Processing and Distribution. Previous SST retrieval techniques relying on channels at 11 and 12 μm are not applicable because GOES-12 lacks the latter channel. Cloud detection is performed using a Bayesian method exploiting fast-forward modeling of prior clear-sky radiances using numerical weather predictions. The basic retrieval algorithm used at nighttime is based on a linear combination of brightness temperatures at 3.9 and 11 μm. In comparison with traditional split window SSTs (using 11- and 12-μm channels), simulations show that this combination has maximum scatter when observing drier colder scenes, with a comparable overall performance. For daytime retrieval, the same algorithm is applied after estimating and removing the contribution to brightness temperature in the 3.9-μm channel from solar irradiance. The correction is based on radiative transfer simulations and comprises a parameterization for atmospheric scattering and a calculation of ocean surface reflected radiance. Potential use of the 13-μm channel for SST is shown in a simulation study: in conjunction with the 3.9-μm channel, it can reduce the retrieval error by 30%. Some validation results are shown while a companion paper by Maturi et al. shows a detailed analysis of the validation results for the operational algorithms described in this present article.

Item Type:Article
Refereed:Yes
Divisions:No Reading authors. Back catalogue items
Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:33725
Uncontrolled Keywords:Sea surface temperature; Satellite observations; Instrumentation/sensors
Publisher:American Meteorological Society

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