Data assimilation using support vector machines and ensemble Kalman filter for multi-layer soil moisture prediction

Water Science and Engineering

Volumn 3, Issue 4, 2010, Pages 361-377

  Liu, Di ^a   Yu, Zhong Bo ^a,b   Lü, Hai Shen ^a  

^a HOHAI UNIVERSITY   (China)

^b UNIVERSITY OF NEVADA   (United States)

Author keywords

Data assimilation; Ensemble Kalman filter; Soil moisture; Support vector machines

Indexed keywords

BANDPASS FILTERS; COUPLINGS; FORECASTING; KALMAN FILTERS; MOISTURE; SOIL MOISTURE; SOILS; SUPPORT VECTOR MACHINES; WATER RESOURCES;

DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; GROUND MEASUREMENTS; HYDROLOGY AND WATER RESOURCE; METEOROLOGICAL PARAMETERS; STATISTICAL PREDICTION MODEL; SUPPORT VECTOR MACHINE (SVMS); VALIDATION RESULTS;

SOIL SURVEYS;

EID: 78751631923     PISSN: 16742370     EISSN: None     Source Type: Journal    
DOI: 10.3882/j.issn.1674-2370.2010.04.001     Document Type: Article

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