Journal article
Review of the Different Sources of Uncertainty in Single Polarization Radar-Based Estimates of Rainfall
Surveys in Geophysics, Vol.31(1), pp.107-129
01/2010
DOI: 10.1007/s10712-009-9079-x
Abstract
It is well acknowledged that there are large uncertainties associated with radar-based estimates of rainfall. Numerous sources of these errors are due to parameter estimation, the observational system and measurement principles, and not fully understood physical processes. Propagation of these uncertainties through all models for which radar-rainfall are used as input (e.g., hydrologic models) or as initial conditions (e.g., weather forecasting models) is necessary to enhance the understanding and interpretation of the obtained results. The aim of this paper is to provide an extensive literature review of the principal sources of error affecting single polarization radar-based rainfall estimates. These include radar miscalibration, attenuation, ground clutter and anomalous propagation, beam blockage, variability of the Z–R relation, range degradation, vertical variability of the precipitation system, vertical air motion and precipitation drift, and temporal sampling errors. Finally, the authors report some recent results from empirically-based modeling of the total radar-rainfall uncertainties. The bibliography comprises over 200 peer reviewed journal articles.
Details
- Title: Subtitle
- Review of the Different Sources of Uncertainty in Single Polarization Radar-Based Estimates of Rainfall
- Creators
- Gabriele Villarini - Department of Civil and Environmental Engineering Princeton University Princeton NJ 08540 USAWitold Krajewski - IIHR-Hydroscience & Engineering The University of Iowa Iowa City IA USA
- Resource Type
- Journal article
- Publication Details
- Surveys in Geophysics, Vol.31(1), pp.107-129
- Publisher
- Springer Netherlands; Dordrecht
- DOI
- 10.1007/s10712-009-9079-x
- ISSN
- 0169-3298
- eISSN
- 1573-0956
- Language
- English
- Date published
- 01/2010
- Academic Unit
- Civil and Environmental Engineering
- Record Identifier
- 9983991934802771
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