DocumentCode
3203411
Title
The effect of wind speed on SST retrieval
Author
Ng, H.G. ; MatJafri, M.Z. ; Abdullah, K. ; Wong, C.J.
Author_Institution
Sch. of Phys., Univ. Sains Malaysia, Minden
fYear
2009
fDate
7-14 March 2009
Firstpage
1
Lastpage
8
Abstract
Many studies have been performed to retrieve the sea surface temperature (SST). However, the researchers studied only the effect of brightness temperature difference, observation angle and water vapor content. The sea surface emissivity (SSE) is normally considered as unity or constant. However, in a real case, the sea surface emissivity changes with the wind speed. In this study, we would like to check whether the wind speed had only minimal effect on the sea surface temperature, as was assumed in the prior literature. A new algorithm which included the term of SSE in the function of wind speed was established. The new algorithm was compared with the day split multichannel (MCSST) algorithm. The coefficients of the new algorithm were retrieved by the new derived equation with includes the term of emissivity. The algorithm coefficients of MCSST were retrieved by regression analysis with large amount of SST in-situ data. The SST data simulated by the new algorithm were compared with the SST data simulated with MCSST algorithm. The scatter plot of new derived SST algorithm coefficients was generated. The regression analysis was performed to study the effect of wind speed. The result showed that only the high wind speed had significant effect on SST retrieval.
Keywords
ocean temperature; oceanographic techniques; remote sensing; wind; SST retrieval; brightness temperature difference; day split multichannel algorithm; observation angle; sea surface emissivity; sea surface temperature; water vapor content; wind speed; Brightness temperature; Equations; Information retrieval; Ocean temperature; Regression analysis; Scattering; Sea surface; Space vehicles; Temperature sensors; Wind speed;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace conference, 2009 IEEE
Conference_Location
Big Sky, MT
Print_ISBN
978-1-4244-2621-8
Electronic_ISBN
978-1-4244-2622-5
Type
conf
DOI
10.1109/AERO.2009.4839442
Filename
4839442
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