Ensemble prediction of regional droughts using climate inputs and the SVM-copula approach

Hydrological Processes

Volumn 28, Issue 19, 2014, Pages 4989-5009

  Ganguli, Poulomi ^a   Janga Reddy, M ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Climate teleconnection; Copulas; Drought prediction; Ensembles; Support vector regression

Indexed keywords

ARTIFICIAL INTELLIGENCE; ATMOSPHERIC PRESSURE; DISTRIBUTION FUNCTIONS; DROUGHT; SUPPORT VECTOR MACHINES; WEATHER FORECASTING;

ATLANTIC MULTIDECADAL OSCILLATIONS; COPULAS; ENSEMBLES; INTER-DECADAL VARIABILITY; MACHINE LEARNING TECHNIQUES; STANDARDIZED PRECIPITATION INDEX; SUPPORT VECTOR REGRESSION (SVR); TELECONNECTIONS;

CLIMATE MODELS;

ARTIFICIAL INTELLIGENCE; ATLANTIC MULTIDECADAL OSCILLATION; CLIMATE FORCING; DECADAL VARIATION; DROUGHT; EL NINO-SOUTHERN OSCILLATION; ENSEMBLE FORECASTING; PRECIPITATION ASSESSMENT; TELECONNECTION;

INDIA; RAJASTHAN;

EID: 84906310206     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.9966     Document Type: Article

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