Abstract
This study explores the scale effects of radar rainfall accumulation fields generated using the new super-resolution level II radar reflectivity data acquired by the Next Generation Weather Radar (NEXRAD) network of the Weather Surveillance Radar-1988 Doppler (WSR-88D) weather radars. Eleven months (May 2008-August 2009, exclusive of winter months) of high-density rain gauge network data are used to describe the uncertainty structure of radar rainfall and rain gauge representativeness with respect to five spatial scales (0.5, 1, 2, 4, and 8 km). While both uncertainties of gauge representativeness and radar rainfall show simple scaling behavior, the uncertainty of radar rainfall is characterized by an almost 3 times greater standard error at higher temporal and spatial resolutions (15 min and 0.5 km) than at lower resolutions (1 h and 8 km). These results may have implications for error propagation through distributed hydrologic models that require high-resolution rainfall input. Another interesting result of the study is that uncertainty obtained by averaging rainfall products produced from the super-resolution reflectivity data is slightly lower at smaller scales than the uncertainty of the corresponding resolution products produced using averaged (recombined) reflectivity data. © 2010 American Meteorological Society.
Recommended Citation
B. C. Seo and W. F. Krajewski, "Scale Dependence Of Radar Rainfall Uncertainty: Initial Evaluation Of NEXRAD's New Super-resolution Data For Hydrologic Applications," Journal of Hydrometeorology, vol. 11, no. 5, pp. 1191 - 1198, American Meteorological Society, Oct 2010.
The definitive version is available at https://doi.org/10.1175/2010JHM1265.1
Department(s)
Civil, Architectural and Environmental Engineering
Publication Status
Full Access
Keywords and Phrases
Hydrology; Radar observations; Rainfall; Surface observations
International Standard Serial Number (ISSN)
1525-755X
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2023 American Meteorological Society, All rights reserved.
Publication Date
01 Oct 2010