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dc.contributor.authorCui, Wenjun
dc.contributor.authorDong, Xiquan
dc.contributor.authorXi, Baike
dc.contributor.authorFeng, Zhe
dc.contributor.authorFan, Jiwen
dc.date.accessioned2020-02-04T20:10:09Z
dc.date.available2020-02-04T20:10:09Z
dc.date.issued2020-01-16
dc.identifier.citationCan the GPM IMERG Final Product Accurately Represent MCSs’ Precipitation Characteristics over the Central and Eastern United States?: Journal of Hydrometeorology: Vol 21, No 1. (2020). Retrieved February 4, 2020, from Journal of Hydrometeorology website: https://journals.ametsoc.org/doi/10.1175/JHM-D-19-0123.1 ‌en_US
dc.identifier.issn1525-755X
dc.identifier.doi10.1175/jhm-d-19-0123.1
dc.identifier.urihttp://hdl.handle.net/10150/636910
dc.description.abstractMesoscale convective systems (MCSs) play an important role in water and energy cycles as they produce heavy rainfall and modify the radiative profile in the tropics and midlatitudes. An accurate representation of MCSs' rainfall is therefore crucial in understanding their impact on the climate system. The V06B Integrated Multisatellite Retrievals from Global Precipitation Measurement (IMERG) half-hourly precipitation final product is a useful tool to study the precipitation characteristics of MCSs because of its global coverage and fine spatiotemporal resolutions. However, errors and uncertainties in IMERG should be quantified before applying it to hydrology and climate applications. This study evaluates IMERG performance on capturing and detecting MCSs' precipitation in the central and eastern United States during a 3-yr study period against the radar-based Stage IV product. The tracked MCSs are divided into four seasons and are analyzed separately for both datasets. IMERG shows a wet bias in total precipitation but a dry bias in hourly mean precipitation during all seasons due to the false classification of nonprecipitating pixels as precipitating. These false alarm events are possibly caused by evaporation under the cloud base or the misrepresentation of MCS cold anvil regions as precipitating clouds by the algorithm. IMERG agrees reasonably well with Stage IV in terms of the seasonal spatial distribution and diurnal cycle of MCSs precipitation. A relative humidity (RH)-based correction has been applied to the IMERG precipitation product, which helps reduce the number of false alarm pixels and improves the overall performance of IMERG with respect to Stage IV.en_US
dc.language.isoenen_US
dc.publisherAMER METEOROLOGICAL SOCen_US
dc.rightsCopyright © 2020 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).en_US
dc.rights.urihttp://www.ametsoc.org/PUBSReuseLicenses
dc.subjectPrecipitationen_US
dc.subjectMesoscale systemsen_US
dc.subjectRadarsen_US
dc.subjectRadar observationsen_US
dc.subjectSatellite observationsen_US
dc.titleCan the GPM IMERG Final Product Accurately Represent MCSs’ Precipitation Characteristics over the Central and Eastern United States?en_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Dept Hydrol & Atmospher Scien_US
dc.identifier.journalJOURNAL OF HYDROMETEOROLOGYen_US
dc.description.note6 month embargo; published online: 16 January 2020en_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleJournal of Hydrometeorology
dc.source.volume21
dc.source.issue1
dc.source.beginpage39
dc.source.endpage57


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