Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/94037
Title: Effect of radar-rainfall uncertainties on the spatial characterization of rainfall events
Authors: Mandapaka, Pradeep V.
Villarini, Gabriele.
Seo, Bong‐Chul.
Krajewski, Witold F.
Keywords: DRNTU::Science::Physics::Meteorology and climatology
Issue Date: 2010
Source: Mandapaka, P. V., Villarini, G., Seo, B. C., & Krajewski , W. F. (2010). Effect of Radar-Rainfall Uncertainties on the Spatial Characterization of Rainfall Events. Journal of Geophysical Research-Atmospheres, 115.
Series/Report no.: Journal of geophysical research-atmospheres
Abstract: Remotely sensed precipitation products, due to their large areal coverage and high resolution, have been widely used to provide information on the spatiotemporal structure of rainfall. However, it is well known that these precipitation products also suffer from large uncertainties that originate from various sources. In this study, we selected radar-rainfall (RR) data corresponding to 10 warm season events over a 256 × 256 km2 domain with a data resolution of 4 × 4 km2 in space and 1 h in time. We characterized their spatial structure using correlation function, power spectrum, and moment scaling function. We then employed a recently developed RR error model and rainfall generator to obtain an ensemble of probable rainfall fields that are consistent with the RR estimation error structure. We parameterized the spatial correlation functions with a two-parameter power exponential function, the Fourier spectra with a power law function, and the moment scaling functions with the universal multifractal model. The parameters estimated from the ensemble were compared with those obtained from the RR products to quantify the impact of radar-rainfall estimation errors on the spatial characterization of rainfall events. From the spatial correlation and power spectrum analyses, we observed that RR estimation uncertainties introduce spurious correlations with greater impact for the smaller scales. The RR errors also significantly bias the estimation of the moment scaling functions.
URI: https://hdl.handle.net/10356/94037
http://hdl.handle.net/10220/8180
DOI: 10.1029/2009JD013366
Rights: © 2010 by the American Geophysical Union. This paper was published in Journal of Geophysical Research-Atmospheres and is made available as an electronic reprint (preprint) with permission of American Geophysical Union. The paper can be found at DOI: [http://dx.doi.org/10.1029/2009JD013366]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EOS Journal Articles

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