The effect of spatially uniform and non-uniform precipitation bias correction methods on improving NEXRAD rainfall accuracy for distributed hydrologic modeling

Hydrology Research

Volumn 45, Issue 1, 2014, Pages 23-42

  Kang, Kwangmin ^a   Merwade, Venkatesh ^b  

^a APEC Climate Center   (South Korea)

^b PURDUE UNIVERSITY   (United States)

Author keywords

Bias correction; Kalman filter; NEXRAD; STORE DHM; Upper Cumberland River; Upper Wabash River

Indexed keywords

ESTIMATION; GAGES; KALMAN FILTERS; RAIN GAGES; RIVERS; UNCERTAINTY ANALYSIS;

BIAS CORRECTION; DATA ASSIMILATION TECHNIQUES; DISTRIBUTED HYDROLOGIC MODEL; MULTI-SENSOR PRECIPITATIONS; NEXRAD; SPATIAL CHARACTERISTICS; SPATIAL REPRESENTATIONS; STORE DHM;

RAIN;

ACCURACY ASSESSMENT; CLIMATE PREDICTION; CLIMATE VARIATION; HYDROLOGICAL MODELING; KALMAN FILTER; PRECIPITATION (CLIMATOLOGY); RAINFALL; RAINGAUGE; SPATIAL ANALYSIS;

UNITED STATES; WABASH RIVER;

EID: 84896502552     PISSN: 00291277     EISSN: None     Source Type: Journal    
DOI: 10.2166/nh.2013.194     Document Type: Article

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