Parameter estimation of a physically based land surface hydrologic model using the ensemble Kalman filter: A synthetic experiment

Water Resources Research

Volumn 50, Issue 1, 2014, Pages 706-724

  Shi, Yuning ^a   Davis, Kenneth J ^a   Zhang, Fuqing ^a   Duffy, Christopher J ^a   Yu, Xuan ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

data assimilation; EnKF; hydrologic model; land surface model; parameter estimation; physically based model

Indexed keywords

DATA ASSIMILATION; ENKF; HYDROLOGIC MODELING; LAND SURFACE MODELING; PHYSICALLY BASED MODELING;

ATMOSPHERIC TEMPERATURE; DATA PROCESSING; ESTIMATION; EXPERIMENTS; KALMAN FILTERS; MATHEMATICAL MODELS; SOIL MOISTURE; SURFACE MEASUREMENT; UNCERTAINTY ANALYSIS; WATERSHEDS; WEATHER FORECASTING;

PARAMETER ESTIMATION;

DATA ASSIMILATION; HYDROLOGICAL MODELING; KALMAN FILTER; LAND SURFACE; MULTIVARIATE ANALYSIS; PARAMETERIZATION; REAL TIME; WATERSHED; WEATHER FORECASTING;

PENNSYLVANIA; SHALE HILLS; UNITED STATES;

EID: 84896709725     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2013WR014070     Document Type: Article

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