Journal article
Modeling radar-rainfall estimation uncertainties using parametric and non-parametric approaches
Advances in water resources, Vol.31(12), pp.1674-1686
2008
DOI: 10.1016/j.advwatres.2008.08.002
Abstract
There are large uncertainties associated with radar estimates of rainfall, including systematic errors as well as the random effects from several sources. This study focuses on the modeling of the systematic error component, which can be described mathematically in terms of a conditional expectation function. The authors present two different approaches: non-parametric (kernel-based) and parametric (copula-based). A large sample (more than six years) of rain gauge measurements from a dense network located in south-west England is used as an approximation of the true ground rainfall. These data are complemented with rainfall estimates by a C-band weather radar located at Wardon Hill, which is about 40
km from the catchment. The authors compare the results obtained using the parametric and non-parametric schemes for four temporal scales of hydrologic interest (5 and 15
min, hourly and three-hourly) by means of several different performance indices and discuss the strengths and weaknesses of each approach.
Details
- Title: Subtitle
- Modeling radar-rainfall estimation uncertainties using parametric and non-parametric approaches
- Creators
- Gabriele Villarini - IIHR-Hydroscience & Engineering, The University of Iowa, Iowa City, Iowa, USAFrancesco Serinaldi - Department of Hydraulics Transportation and Highways, “Sapienza” University of Rome, Rome, ItalyWitold F Krajewski - IIHR-Hydroscience & Engineering, The University of Iowa, Iowa City, Iowa, USA
- Resource Type
- Journal article
- Publication Details
- Advances in water resources, Vol.31(12), pp.1674-1686
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/j.advwatres.2008.08.002
- ISSN
- 0309-1708
- eISSN
- 1872-9657
- Language
- English
- Date published
- 2008
- Academic Unit
- Civil and Environmental Engineering
- Record Identifier
- 9983991969102771
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