Journal article
Stochastic–dynamical rainfall simulation based on weather radar volume scan data
Advances in water resources, Vol.26(5), pp.581-593
2003
DOI: 10.1016/S0309-1708(02)00168-9
Abstract
The authors present a new conceptual approach to rainfall simulation for hydrologic model studies. The simulation method addresses needs of operational hydrometeorological systems and the model formulation uses the characteristics of operationally available space–time observations of rainfall. The primary state of the simulation model is the vertically integrated rainwater content derived from radar reflectivity. The simulation model components represent the formation of surface rainfall from cloud column rainwater and cloud moisture influx. The mean behavior of the model states is explicitly derived from weather radar observations, and a stochastic formulation is used to represent the behavior of the residual fluctuations. Parameter estimation using observed radar reflectivity from three convective storms in Florida is discussed along with a simulation example based on parameters derived from the observed rain events.
Details
- Title: Subtitle
- Stochastic–dynamical rainfall simulation based on weather radar volume scan data
- Creators
- Hervé Andrieu - Division Eau, Laboratoire Central des Ponts et Chaussées, BP 4129, F 44341 Bouguenais Cedex, FranceMark N French - Department of Civil and Environmental Engineering, Speed Scientific School, University of Louisville, Louisville, KY 40292, USAWitold F Krajewski - Department of Civil and Environmental Engineering, Iowa Institute of Hydraulic Research, The University of Iowa, Iowa City, IA 52242, USAKonstantine P Georgakakos - Hydrologic Research Center, 12780 High Bluff Drive, Suite 250, San Diego, CA 92130, USA
- Resource Type
- Journal article
- Publication Details
- Advances in water resources, Vol.26(5), pp.581-593
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/S0309-1708(02)00168-9
- ISSN
- 0309-1708
- eISSN
- 1872-9657
- Language
- English
- Date published
- 2003
- Academic Unit
- Civil and Environmental Engineering
- Record Identifier
- 9983991981902771
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