Development and evaluation of SST algorithms for GOES-R ABI using MSG SEVIRI as a proxy

Remote Sensing of Environment

Volumn 115, Issue 12, 2011, Pages 3647-3658

  Petrenko, B ^a,b   Ignatov, A ^a   Shabanov, N ^a,b   Kihai, Y ^a,c  

^a OFFICE OF RESEARCH AND APPLICATIONS   (United States)

^b IMSG Inc   (United States)

^c Perot Systems Government Services   (United States)

Author keywords

GOES R ABI; MSG SEVIRI; Optimal Estimation; Regression; Sea surface temperature

Indexed keywords

GOES-R ABI; MSG SEVIRI; OPTIMAL ESTIMATIONS; REGRESSION; SEA SURFACE TEMPERATURES;

ATMOSPHERIC TEMPERATURE; GEOSTATIONARY SATELLITES; OPTIMIZATION; RADIATIVE TRANSFER; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; SURFACE PROPERTIES; WEATHER SATELLITES;

ALGORITHMS;

ACCURACY ASSESSMENT; ALGORITHM; GOES; METEOSAT; NONLINEARITY; NUMERICAL MODEL; PROXY CLIMATE RECORD; REGRESSION ANALYSIS; SEA SURFACE TEMPERATURE; SENSITIVITY ANALYSIS; SEVIRI;

EID: 81355148542     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.09.003     Document Type: Article

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