Parameter estimation in ensemble based snow data assimilation: A synthetic study

Advances in Water Resources

Volumn 34, Issue 3, 2011, Pages 407-416

  Su, Hua ^a   Yang, Zong Liang ^a   Niu, Guo Yue ^a   Wilson, Clark R ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

Data assimilation; Parameter estimation; Snow hydrology

Indexed keywords

DATA ASSIMILATION; DATA ASSIMILATION SYSTEMS; ENSEMBLE KALMAN FILTER; ERROR SOURCES; GOOD DATA; MODEL STRUCTURAL ERROR; PARAMETER RETRIEVAL; PARAMETER VALUES; SNOW HYDROLOGY; SNOW WATER EQUIVALENT; STATE VARIABLES; STRUCTURAL ERRORS; SYNTHETIC STUDY;

DATA PROCESSING; EXPERIMENTS; HYDROLOGY; METAL ANALYSIS; SNOW; WATER;

PARAMETER ESTIMATION;

COMPUTER SIMULATION; DATA ASSIMILATION; ENSEMBLE FORECASTING; ESTIMATION METHOD; GLACIAL HYDROLOGY; KALMAN FILTER; NUMERICAL MODEL; PARAMETERIZATION; SENSITIVITY ANALYSIS; SNOW;

EID: 79451476309     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2010.12.002     Document Type: Article

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