A non-parametric data-based approach for probabilistic flood forecasting in support of uncertainty communication

Environmental Modelling and Software

Volumn 33, Issue , 2012, Pages 92-105

  Van Steenbergen, N ^a,b   Ronsyn, J ^c   Willems, P ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b FLANDERS HYDRAULICS RESEARCH   (Belgium)

^c Water Management Department   (Belgium)

Author keywords

Non parametric approach; Operational flood forecasting; Probabilistic forecasting; Uncertainty estimation

Indexed keywords

ALARM LEVEL; BELGIUM; COMPLETE INFORMATION; CONFIDENCE INTERVAL; DECISION MAKERS; DIMENSIONAL ERRORS; EARLY WARNING SYSTEM; ERROR MATRICES; EXCEEDANCE PROBABILITY; FLOOD FORECASTING; GOVERNMENTAL AUTHORITIES; HISTORICAL FLOODS; HYDRODYNAMIC MODEL; NON-PARAMETRIC; NON-PARAMETRIC TECHNIQUES; NONPARAMETRIC APPROACHES; OPERATIONAL FLOOD FORECASTING; POST PROCESSING; PREDICTIVE UNCERTAINTY; PROBABILISTIC FORECASTING; REAL TIME; RIVER FLOOD FORECASTING; RIVER GAUGING; STRUCTURAL MEASURES; TIME HORIZONS; UNCERTAINTY ESTIMATION;

FLOOD CONTROL; FORECASTING; MATRIX ALGEBRA; RAIN; THREE DIMENSIONAL; TIME SERIES; WATER LEVELS; WATER SUPPLY;

FLOODS;

DATABASE; DECISION MAKING; EARLY WARNING SYSTEM; EVAPOTRANSPIRATION; FLOOD FORECASTING; HYDRODYNAMICS; HYDROLOGICAL MODELING; PARAMETERIZATION; PROBABILITY; RAINFALL; TIME SERIES; UNCERTAINTY ANALYSIS; WATER LEVEL;

BELGIUM;

EID: 84858080665     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2012.01.013     Document Type: Article

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