A methodology for assessing the utility of distributed model forecast applications in an operational environment

IAHS-AISH Publication

Volumn , Issue 282, 2003, Pages 85-92

  Georgakakos, Konstantine P ^a   Carpenter, Theresa M ^a  

^a Hydrologic Research Centre   (United States)

Author keywords

Distributed hydrological modelling; Ensemble flow prediction; Parameter estimation; Radar rainfall uncertainty

Indexed keywords

CATCHMENTS; ERROR ANALYSIS; HYDROLOGY; PARAMETER ESTIMATION; PRECIPITATION (METEOROLOGY); PROBABILITY;

HYDROLOGICAL FORECASTING;

WEATHER FORECASTING;

CATCHMENT; ENSEMBLE FORECASTING; ERROR ANALYSIS; HYDROLOGICAL MODELING; PARAMETERIZATION; STREAMFLOW;

UNITED STATES;

EID: 0042268078     PISSN: 01447815     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (3)

1. Carpenter, T. M. & Georgakakos, K. P. (2002) Distributed model flow sensitivity to uncertainty in radar-rainfall input. In: Information from Weather Radars and Distributed Hydrological Modelling (ed. by Y. Tachikawa et al.) (Proc. Symp., Sapporo HS03. July 2003), 114 120. IAHS Publ. no. 282 (this volume).
2. Carpenter, T. M., Georgakakos, K. P. & Sperfslage, J. A. (2001) On the parametric and NEXRAD-radar sensitivities of a distributed hydrological model suitable for operational use. J Hydrol 253, 169 193.
3. Georgakakos, K. P. & Carpenter, T. M. (2002) Probabilistic analysis of model complexity versus parametric and input uncertainty in operational streamflow forecasting. HRC Tech. Note no. 20. Hydrological Research Center, San Diego, California, USA.