Analysis of the hydrological response of a distributed physically-based model using post-assimilation (EnKF) diagnostics of streamflow and in situ soil moisture observations

Journal of Hydrology

Volumn 514, Issue , 2014, Pages 192-201

  Trudel, Mélanie ^a   Leconte, Robert ^a   Paniconi, Claudio ^b  

^a UNIVERSITÉ DE SHERBROOKE   (Canada)

^b CENTRE EAU TERRE ENVIRONNEMENT   (Canada)

Author keywords

A posteriori diagnostics; Data assimilation; Ensemble Kalman filter; Hydrological model; Soil moisture; Streamflow

Indexed keywords

CATCHMENTS; CLIMATE MODELS; COVARIANCE MATRIX; DATA PROCESSING; FORECASTING; KALMAN FILTERS; MONTE CARLO METHODS; OPTIMIZATION; SOIL MOISTURE; STREAM FLOW; WATERSHEDS;

DATA ASSIMILATION; DATA ASSIMILATION TECHNIQUES; ENSEMBLE KALMAN FILTER; HYDROLOGICAL MODELING; LATIN HYPERCUBE SAMPLING; MODEL AND OBSERVATION; PHYSICALLY BASED MODELING; POSTERIORI DIAGNOSTICS;

COMPUTER SIMULATION;

EID: 84899849626     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2014.03.072     Document Type: Article

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