Wet and dry spell analysis of Global Climate Model-generated precipitation using power laws and wavelet transforms

Stochastic Environmental Research and Risk Assessment

Volumn 25, Issue 4, 2011, Pages 517-535

  Mishra, Ashok K ^a   Özger, Mehmet ^a,b   Singh, Vijay P ^a  

^a Texas A and M University   (United States)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Bayesian Neural Networks; Downscaling; Power law; Wavelet analysis

Indexed keywords

BAYESIAN NEURAL NETWORKS; CLIMATE MODEL SIMULATIONS; CONTINUOUS WAVELET TRANSFORM; DOWNSCALING; DOWNSCALING METHODS; GLOBAL CLIMATE MODEL; INTERANNUAL; KANSABATI RIVER BASIN; LOW FREQUENCY; POWER LAW; POWER-LAW BEHAVIOR; PRECIPITATION PATTERNS; PRECIPITATION VARIABILITY; WET AND DRY;

BAYESIAN NETWORKS; CLIMATE CHANGE; COMPUTER SIMULATION; CURING; DROUGHT; NEURAL NETWORKS; WAVELET ANALYSIS; WAVELET TRANSFORMS;

CLIMATE MODELS;

ARTIFICIAL NEURAL NETWORK; BAYESIAN ANALYSIS; CLIMATE CHANGE; CLIMATE MODELING; DOWNSCALING; POWER LAW; PRECIPITATION (CLIMATOLOGY); WAVELET ANALYSIS;

INDIA; KANSABATI BASIN; WEST BENGAL;

EID: 79952984882     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-010-0419-7     Document Type: Article

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