Short-term ensemble streamflow forecasting using operationally-produced single-valued streamflow forecasts - A Hydrologic Model Output Statistics (HMOS) approach

Journal of Hydrology

Volumn 497, Issue , 2013, Pages 80-96

  Regonda, Satish Kumar ^a,b   Seo, Dong Jun ^c   Lawrence, Bill ^a   Brown, James D ^d   Demargne, Julie ^e  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^b RIVERSIDE TECHNOLOGY INC   (United States)

^c University of Texas at Arlington   (United States)

^d Hydrologic Solutions Limited   (United Kingdom)

^e Hydrologic Solutions Limited ^*

Author keywords

Ensemble verification; Hydrologic ensemble forecasting; Model output statistics; Normal quantile transform; Single valued operational streamflow forecast; Total predictive uncertainty

Indexed keywords

ENSEMBLE FORECASTING; MODEL OUTPUT STATISTICS; MULTIVARIATE PROBABILITY DISTRIBUTIONS; NATIONAL WEATHER SERVICES; PREDICTIVE UNCERTAINTY; RIVER FORECAST CENTERS; STREAMFLOW FORECAST; STREAMFLOW FORECASTING;

PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS; RISK PERCEPTION; RIVERS; STREAM FLOW; UNCERTAINTY ANALYSIS;

FORECASTING;

DECISION MAKING; ENSEMBLE FORECASTING; FORECASTING METHOD; MULTIVARIATE ANALYSIS; RISK FACTOR; STREAMFLOW; UNCERTAINTY ANALYSIS;

ARKANSAS; RED RIVER [UNITED STATES]; UNITED STATES;

EID: 84880015692     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.05.028     Document Type: Article

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