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dc.contributor.authorArabzadeh, Alireza
dc.contributor.authorEhsani, Mohammad Reza
dc.contributor.authorGuan, Bin
dc.contributor.authorHeflin, Stella
dc.contributor.authorBehrangi, Ali
dc.date.accessioned2021-05-04T01:47:05Z
dc.date.available2021-05-04T01:47:05Z
dc.date.issued2020-10-12
dc.identifier.citationArabzadeh, A., Ehsani, M. R., Guan, B., Heflin, S., & Behrangi, A. (2020). Global Intercomparison of Atmospheric Rivers Precipitation in Remote Sensing and Reanalysis Products. Journal of Geophysical Research: Atmospheres, 125(21), e2020JD033021.en_US
dc.identifier.issn2169-897X
dc.identifier.doi10.1029/2020jd033021
dc.identifier.urihttp://hdl.handle.net/10150/658114
dc.description.abstractAtmospheric rivers (ARs) play an important role in the total annual precipitation regionally and globally, delivering precious freshwater to many arid/semiarid regions. On the other hand, they may cause intense precipitation and floods with huge socioeconomic effects worldwide. In this study, we investigate AR-related precipitation using 18 years (2001-2018) of globally gridded AR locations derived from Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). AR precipitation features are explored regionally and seasonally using remote sensing (Integrated Multi-satellitE Retrievals for GPM version 6 [IMERG V6], daily Global Precipitation Climatology Project version 1.3 [GPCP V1.3], bias-adjusted CPC Morphing Technique version 1 [CMORPH V1], and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks [PERSIANN-CDR]) and reanalysis (MERRA-2 and ECMWF Reanalysis 5th Generation [ERA5]) precipitation products. The results show that most of the world (except the tropics) experience more intense precipitation from AR-related events compared to non-AR events. Over the oceans (especially the Southern Ocean), the contribution of ARs to the total precipitation and extreme events is larger than over land. However, some coastal areas over land are highly affected by ARs (e.g., the western and eastern United States and Canada, Western Europe, North Africa, and part of the Middle East, East Asia, and eastern South America and part of Australia). Although spatial correlations for pairs of IMERG/CMORPH and GPCP/PERSIANN-CDR are fairly high, considerable discrepancies are shown in their estimation of AR-related events (i.e., overall IMERG and CMORPH show a higher fraction of AR-related precipitation). It was found that the degree of consistency between reanalysis and satellite-based products is highly regionally dependent, partly due to the uneven distribution of in situ measurements.en_US
dc.language.isoenen_US
dc.publisherAMER GEOPHYSICAL UNIONen_US
dc.rights©2020. American Geophysical Union. All Rights Reserved.en_US
dc.rights.urihttp://onlinelibrary.wiley.com/termsAndConditions#voren_US
dc.subjectatmospheric riveren_US
dc.subjectextreme eventen_US
dc.subjectIMERG V06en_US
dc.subjectprecipitation producten_US
dc.subjectreanalysisen_US
dc.subjectremote sensingen_US
dc.titleGlobal Intercomparison of Atmospheric Rivers Precipitation in Remote Sensing and Reanalysis Productsen_US
dc.typeArticleen_US
dc.identifier.eissn2169-8996
dc.contributor.departmentUniv Arizona, Dept Hydrol & Atmospher Scien_US
dc.contributor.departmentUniv Arizona, Dept Geoscien_US
dc.identifier.journalJOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERESen_US
dc.description.note6 month embargo; first published online 12 October 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 Geophysical Research: Atmospheres
dc.source.volume125
dc.source.issue21
refterms.dateFOA2021-04-12T00:00:00Z


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