Sensitivity studies and their application to infer surface energy fluxes: prospects within the passive remote sensing

Using a model for data analysis satisfying accuracy is difficult to obtain but it is important to learn about the reliability of the calculations of a model. The applied data analysis scheme SESAT calculates surface energy fluxes using satellite data of NOAA AVHRR. Exemplary results are presented in...

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Published inPhysics and chemistry of the earth. Parts A/B/C Vol. 30; no. 1; pp. 187 - 193
Main Authors Schwiebus, Angela, Berger, Franz H.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2005
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Summary:Using a model for data analysis satisfying accuracy is difficult to obtain but it is important to learn about the reliability of the calculations of a model. The applied data analysis scheme SESAT calculates surface energy fluxes using satellite data of NOAA AVHRR. Exemplary results are presented including a validation of the inferred values with ground truth data. The study considered the effects of an error in the assumed atmospheric conditions. Sensitivity studies via the variation of wind speed and relative humidity show a possible inaccuracy range of about 40 W/m 2 for the latent heat flux. The first steps of an uncertainty analysis on the calculation scheme SESAT show the impact of using parameters which are not accurately determinable but required within the used equations.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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content type line 23
ISSN:1474-7065
1873-5193
DOI:10.1016/j.pce.2004.08.030