Uncertainty in flood forecasting: A distributed modeling approach in a sparse data catchment

Water Resources Research

Volumn 48, Issue 9, 2012, Pages

  Mendoza, Pablo A ^a,b   McPhee, James ^a,c   Vargas, Ximena ^a  

^a DEPARTAMENTO DE FÍSICA   (Chile)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^c UNIVERSITY OF CHILE   (Chile)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SCARCITY; DISTRIBUTED MODELING; ENSEMBLE KALMAN FILTER; ENSEMBLE SIMULATION; EXPLICIT TREATMENTS; FIELD CAMPAIGN; FLOOD EVENT; FLOOD FORECASTING; HYDROLOGIC COMPONENTS; HYDROLOGIC MODELING; HYDROLOGIC PROCESS; MARKOVIAN; MODEL CALIBRATION; MODEL INPUTS; MODEL PARAMETERS; MODEL STATE; NUMERICAL RESULTS; NUMERICAL WEATHER PREDICTION; PEAK FLOWS; RIVER BASINS; SPARSE DATA; STREAMFLOW UNCERTAINTY; SURFACE RUNOFFS; WEATHER RESEARCH AND FORECASTING MODELS;

CALIBRATION; CATCHMENTS; DEVELOPING COUNTRIES; FLOOD CONTROL; FLOODS; RAIN; RUNOFF; STREAM FLOW; WATERSHEDS; WEATHER FORECASTING;

UNCERTAINTY ANALYSIS;

CALIBRATION; CATCHMENT; DATA SET; DEVELOPING WORLD; DISCHARGE; ENVIRONMENTAL MONITORING; FLOOD FORECASTING; KALMAN FILTER; NUMERICAL MODEL; RUNOFF; SPATIOTEMPORAL ANALYSIS; STREAMFLOW; UNCERTAINTY ANALYSIS;

CHILE;

EID: 84867003411     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011WR011089     Document Type: Article

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