Propagation of uncertainties in coupled hydro-meteorological forecasting systems: A stochastic approach for the assessment of the total predictive uncertainty

Atmospheric Research

Volumn 100, Issue 2-3, 2011, Pages 263-274

  Hostache, R ^a   Matgen, P ^a   Montanari, A ^b   Montanari, M ^a   Hoffmann, L ^a   Pfister, L ^a  

^a LUXEMBOURG INSTITUTE OF SCIENCE AND TECHNOLOGY   (Luxembourg)

^b UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Bivariate meta gaussian density; Forecasting chain; Linear model; Rainfall runoff model; Uncertainty

Indexed keywords

ATMOSPHERIC MODEL; BIVARIATE; CONFIDENCE LIMIT; COUPLED MODELS; ERROR MODEL; FLOOD FORECAST; FLOOD FORECASTING; FORECASTING ERROR; FORECASTING SYSTEM; GAUSSIAN DENSITY; GAUSSIAN PROBABILITY DENSITY FUNCTIONS; HYDROLOGIC MODELS; HYDROLOGIC SIMULATIONS; INDIVIDUAL MODELS; INTEGRATED MODELS; LEAD TIME; LINEAR MODEL; LUXEMBOURG; MEDIUM TERM; PREDICTIVE UNCERTAINTY; RAINFALL-RUNOFF MODEL; RAINFALL-RUNOFF MODELS; RIVER DISCHARGE; SCIENTIFIC COMMUNITY; STOCHASTIC APPROACH; TEMPERATURE FORECASTS; UNCERTAINTY;

COMPUTER SIMULATION; ERRORS; ESTIMATION; FLOOD CONTROL; FLOODS; GAUSSIAN DISTRIBUTION; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; RAIN; RIVERS; RUNOFF; UNCERTAINTY ANALYSIS;

WEATHER FORECASTING;

ATMOSPHERIC MODELING; ERROR ANALYSIS; FLOOD FORECASTING; HYDROLOGICAL MODELING; HYDROMETEOROLOGY; PROBABILITY DENSITY FUNCTION; RAINFALL-RUNOFF MODELING; RIVER DISCHARGE; STOCHASTICITY; UNCERTAINTY ANALYSIS;

ALZETTE RIVER; LUXEMBOURG [BENELUX];

EID: 79954628831     PISSN: 01698095     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosres.2010.09.014     Document Type: Article

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