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dc.contributor.authorEkpetere, Kenneth Okechukwu
dc.contributor.authorColl, James
dc.contributor.authorLi, Xingong
dc.contributor.authorKastens, Jude
dc.contributor.authorMechem, David B.
dc.date.accessioned2022-05-05T22:29:46Z
dc.date.available2022-05-05T22:29:46Z
dc.date.issued2022-05-05
dc.identifier.citationEkpetere, K., J. Coll, X. Li, J. Kastens, D. B. Mechem (2022). Global PMP Datasets, KU Scholar Works: http://hdl.handle.net/1808/32756en_US
dc.identifier.urihttp://hdl.handle.net/1808/32756
dc.descriptionThe Global PMP Datasets in Geotiff format at the 0.5-hr, 1-hr, 2-hr, 3-hr, 6-hr, 12-hr, 24-hr, 2-day, and 3-day are statistically derived based on World Meteorological Organization (WMO)’s endorsed Hershfield PMP estimation technique using IMERG’s 30-min precipitation dataset. The Google Earth Engine’s script for assessing and interacting with the datasets is also provided.

The dataset files in KU ScholarWorks were updated on 10/11/2023.
en_US
dc.relation.isversionofhttps://cartoviews.users.earthengine.app/view/pmp-calculatoren_US
dc.rightsCopyright 2022 Kenneth Ekpetere, James Coll, Xingong Li, Jude Kastens, and David B. Mechemen_US
dc.subjectProbable Maximum Precipitationen_US
dc.subjectPMPen_US
dc.subjectIMERGen_US
dc.subjectInversionen_US
dc.subjectHershfielden_US
dc.subjectWMOen_US
dc.subjectNOAAen_US
dc.subjectReduction curveen_US
dc.subjectAdjustment curveen_US
dc.subjectFrequency factoren_US
dc.titleGlobal Probable Maximum Precipitation (PMP) Dataseten_US
dc.typeDataseten_US
kusw.kuauthorLi, Xingong
kusw.kuauthorKastens, Jude
kusw.kuauthorMechem, David B.
kusw.kudepartmentGeographyen_US
kusw.kudepartmentKansas Biological Surveyen_US
kusw.kudepartmentAtmospheric Scienceen_US
dc.identifier.orcidhttps://orcid.org/ 0000-0003-0473-1401en_US
dc.rights.accessrightsopenAccessen_US


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