How much improvement can precipitation data fusion achieve with a Multiscale Kalman Smoother-based framework?

Water Resources Research

Volumn 47, Issue 8, 2011, Pages

  Wang, Shugong ^a   Liang, Xu ^a   Nan, Zhuotong ^a,b  

^a University of Pittsburgh   (United States)

^b Chinese Academy of Sciences   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COARSER RESOLUTION; MEASURING TECHNIQUE; MODELING APPROACH; MULTISCALES; PRECIPITATION DATA; PRECIPITATION PRODUCTS; ROOT-MEAN SQUARE ERRORS; SPATIAL PATTERNS; SPATIAL RESOLUTION; SPATIAL SCALE;

DATA FUSION; WHITE NOISE;

PRECIPITATION (METEOROLOGY);

DATA SET; ERROR ANALYSIS; EXPERIMENTAL STUDY; KALMAN FILTER; MAGNITUDE; MEASUREMENT METHOD; NOISE; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); PRECIPITATION ASSESSMENT; QUANTITATIVE ANALYSIS; SPATIAL ANALYSIS; SPATIAL RESOLUTION;

EID: 80052306673     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2010WR009953     Document Type: Article

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