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Proceedings Paper

MODIS sea surface temperature retrievals using different channel combinations and hybrid cloud detection
Author(s): Prabhat K. Koner; Andy Harris
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Paper Abstract

NASA has been providing global sea-surface temperatures (SST) from MODIS on daily to decadal periods, and these are extensively used for a wide range of atmospheric and oceanic studies. However, the retrieval quality and cloud detection are somewhat problematic. We will present a new physical deterministic algorithm based on truncated total least squares (TTLS) using multiple channels for SST retrieval from MODIS measurements in conjunction with a new cloud detection scheme using a radiative transfer model atop a functional spectral difference method. The TTLS method is a new addition to improve the information content of the retrieval compared to our earlier work using modified total least squares (MTLS). A systematic study is conducted to ascertain the optimal channel selection from the 16 channels in the thermal IR of MODIS. Our new algorithm can reduce average RMSE of ~50% while increasing the average data coverage by ~50% compared to the operationally available MODIS SST.

Paper Details

Date Published: 3 May 2016
PDF: 11 pages
Proc. SPIE 9882, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions VI, 988204 (3 May 2016); doi: 10.1117/12.2223465
Show Author Affiliations
Prabhat K. Koner, Univ. of Maryland, College Park (United States)
Andy Harris, Univ. of Maryland, College Park (United States)


Published in SPIE Proceedings Vol. 9882:
Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions VI
Tiruvalam N. Krishnamurti; Madhavan Nair Rajeevan, Editor(s)

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