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dc.contributor.authorKurdzo, James M.
dc.contributor.authorJoback, Emily F.
dc.contributor.authorKirstetter, Pierre-Emmanuel
dc.contributor.authorCho, John Y
dc.date.accessioned2020-10-23T21:25:54Z
dc.date.available2020-10-23T21:25:54Z
dc.date.issued2020-08
dc.identifier.issn1558-8424
dc.identifier.issn1558-8432
dc.identifier.urihttps://hdl.handle.net/1721.1/128197
dc.description.abstractThe relatively low density of weather radar networks can lead to low-altitude coverage gaps. As existing networks are evaluated for gap-fillers and new networks are designed, the benefits of low-altitude coverage must be assessed quantitatively. This study takes a regression approach to modeling quantitative precipitation estimation (QPE) differences based on network density, antenna aperture, and polarimetric bias. Thousands of cases from the warm-season months of May–August 2015–2017 are processed using both the specific attenuation [R(A)] and reflectivity-differential reflectivity [R(Z,ZDR)] QPE methods and are compared against Automated Surface Observing System (ASOS) rain gauge data. QPE errors are quantified based on beam height, cross-radial resolution, added polarimetric bias, and observed rainfall rate. The collected data are used to construct a support vector machine regression model that is applied to the current WSR-88D network for holistic error quantification. An analysis of the effects of polarimetric bias on flash-flood rainfall rates is presented. Rainfall rates based on 2-year/1-hr return rates are used for a CONUS-wide analysis of QPE errors in extreme rainfall situations. These errors are then re-quantified using previously proposed network design scenarios with additional radars that provide enhanced estimate capabilities. Finally, a gap-filling scenario utilizing the QPE error model, flash-flood rainfall rates, population density, and potential additional WSR-88D sites is presented, exposing the highest-benefit coverage holes in augmenting the WSR-88D network (or a future network) relative to QPE performance.en_US
dc.publisherAmerican Meteorological Societyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1175/jamc-d-19-0164.1en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceJohn Y. N. Choen_US
dc.titleGeospatial QPE Accuracy Dependence on Weather Radar Network Configurationsen_US
dc.typeArticleen_US
dc.identifier.citationKurdzo, James M. et al. "Geospatial QPE Accuracy Dependence on Weather Radar Network Configurations." Journal of Applied Meteorology and Climatology (August 2020): 1–56en_US
dc.contributor.departmentLincoln Laboratoryen_US
dc.relation.journalJournal of Applied Meteorology and Climatologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2020-08-31T20:42:49Z
mit.licensePUBLISHER_POLICY


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