Probabilistic prediction of hydrologic drought using a conditional probability approach based on the meta-Gaussian model

Journal of Hydrology

Volumn 542, Issue , 2016, Pages 772-780

  Hao, Zengchao ^a   Hao, Fanghua ^a   Singh, Vijay P ^b   Sun, Alexander Y ^c   Xia, Youlong ^d  

^a BEIJING NORMAL UNIVERSITY   (China)

^b Texas A M University   (United States)

^c UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^d CLIMATE PREDICTION CENTER   (United States)

Author keywords

Conditional distribution; Copula; Drought prediction; Hydrological drought; Meta Gaussian model

Indexed keywords

CLIMATE MODELS; FORECASTING; GAUSSIAN DISTRIBUTION; RUNOFF; STREAM FLOW;

CONDITIONAL DISTRIBUTION; CONDITIONAL PROBABILITIES; COPULA; HYDROLOGICAL DROUGHTS; META-GAUSSIAN MODEL; PROBABILISTIC PREDICTION; STANDARDIZED PRECIPITATION INDEX; UNCERTAINTY QUANTIFICATIONS;

DROUGHT;

DROUGHT; GAUSSIAN METHOD; HYDROLOGICAL CYCLE; PRECIPITATION ASSESSMENT; PREDICTION; PROBABILITY; RUNOFF; STREAMFLOW; WEATHER FORECASTING;

TEXAS; UNITED STATES;

EID: 84994608067     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2016.09.048     Document Type: Article

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