Hydrologic modeling in dynamic catchments: A data assimilation approach

Water Resources Research

Volumn 52, Issue 5, 2016, Pages 3350-3372

  Pathiraja, S ^a   Marshall, L ^a   Sharma, A ^a   Moradkhani, H ^b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b Department of Electrical and Computer Engineering   (United States)

Author keywords

data assimilation; Ensemble Kalman Filter; hydrologic modeling; nonstationarity; parameter estimation

Indexed keywords

CATCHMENTS; RUNOFF;

DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; HYDROLOGIC MODELING; INHERENT LIMITATIONS; LOCAL LINEAR ESTIMATION; MULTIPLE PARAMETERS; NON-STATIONARITIES; TEMPORAL STRUCTURES;

PARAMETER ESTIMATION;

ALGORITHM; CATCHMENT; DATA ASSIMILATION; DYNAMIC PROPERTY; FILTER; FUTURE PROSPECT; HYDROLOGICAL MODELING; PARAMETERIZATION; STREAMFLOW; TEMPORAL ANALYSIS;

EID: 84992308964     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR017192     Document Type: Article

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