Bayesian dynamic modelling for nonstationary hydroclimatic time series forecasting along with uncertainty quantification

Hydrological Processes

Volumn 22, Issue 17, 2008, Pages 3488-3499

  Kumar, D Nagesh ^a   Maity, Rajib ^a,b  

^a INDIAN INSTITUTE OF SCIENCE   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Bayesian dynamic models; Devil's Lake; Forecasting; Nonstationarity; Uncertainty

Indexed keywords

ARCTIC ENGINEERING; ATMOSPHERIC PRESSURE; BAYESIAN NETWORKS; CATCHMENTS; CLIMATOLOGY; EARTH SCIENCES; FORECASTING; INFORMATION MANAGEMENT; REGRESSION ANALYSIS; TIME SERIES ANALYSIS; WATER; WATER RESOURCES;

BAYESIAN; BAYESIAN DYNAMIC MODELS; DEVIL'S LAKE; NONSTATIONARITY; UNCERTAINTY;

DYNAMIC MODELS;

BAYESIAN ANALYSIS; CLIMATE CHANGE; CLIMATE FORCING; FORECASTING METHOD; NORTH ATLANTIC OSCILLATION; REGRESSION ANALYSIS; TIME SERIES; UNCERTAINTY ANALYSIS; WEATHER FORECASTING;

DEVILS LAKE; NORTH AMERICA; NORTH DAKOTA; UNITED STATES;

EID: 50449088991     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.6951     Document Type: Article

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