Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation

Advances in Water Resources

Volumn 94, Issue , 2016, Pages 103-119

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

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b Portland State University   (United States)

Author keywords

Data assimilation; Ensemble Kalman filter; Land use change; Non stationarity; Time varying parameters

Indexed keywords

FORECASTING; LAND USE; MODEL STRUCTURES; RUNOFF; SOIL MOISTURE; TIME VARYING CONTROL SYSTEMS;

DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; LAND-USE CHANGE; NON-STATIONARITIES; TIME VARYING PARAMETER;

CATCHMENTS;

CATCHMENT; DATA ASSIMILATION; HYDROLOGICAL MODELING; KALMAN FILTER; LAND USE CHANGE; NUMERICAL MODEL; TEMPORAL VARIATION;

AUSTRALIA; WESTERN AUSTRALIA;

EID: 84966713373     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2016.04.021     Document Type: Article

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