Downscaling of precipitation for climate change scenarios: A support vector machine approach

Journal of Hydrology

Volumn 330, Issue 3-4, 2006, Pages 621-640

  Tripathi, Shivam ^a   Srinivas, V V ^a   Nanjundiah, Ravi S ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

Climate change; Downscaling; General circulation model (GCM); Hydroclimatology; India; Neural network; Precipitation; Support vector machine

Indexed keywords

DOWNSCALING; GENERAL CIRCULATION MODEL (GCM); HYDROCLIMATOLOGY; SUPPORT VECTOR MACHINE;

BACKPROPAGATION; CLIMATE CHANGE; HYDROLOGY; MATHEMATICAL MODELS; NEURAL NETWORKS; STATISTICAL METHODS;

PRECIPITATION (METEOROLOGY);

BACKPROPAGATION; CLIMATE CHANGE; HYDROLOGY; MATHEMATICAL MODELS; NEURAL NETWORKS; PRECIPITATION (METEOROLOGY); STATISTICAL METHODS;

ARTIFICIAL NEURAL NETWORK; CLIMATE CHANGE; CLUSTER ANALYSIS; GENERAL CIRCULATION MODEL; PRECIPITATION (CLIMATOLOGY); PRINCIPAL COMPONENT ANALYSIS; SPATIAL RESOLUTION; SPATIOTEMPORAL ANALYSIS;

ASIA; EURASIA; INDIA; SOUTH ASIA;

EID: 33750018142     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2006.04.030     Document Type: Article

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