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dc.contributor.authorStillman, S.
dc.contributor.authorZeng, X.
dc.date.accessioned2017-01-13T00:22:47Z
dc.date.available2017-01-13T00:22:47Z
dc.date.issued2016-09-28
dc.identifier.citationDevelopment of a 0.5° global monthly raining day product from 1901 to 2010 2016, 43 (18):9704 Geophysical Research Lettersen
dc.identifier.issn00948276
dc.identifier.doi10.1002/2016GL070244
dc.identifier.urihttp://hdl.handle.net/10150/621965
dc.description.abstractWhile several long-term global data sets of monthly precipitation amount (P) are widely available, only the Climate Research Unit (CRU) provides long-term global monthly raining day number (N) data (i.e., daily precipitation frequency in a month), with P/N representing the daily precipitation intensity. However, because CRU N is based on a limited number of gauges, it is found to perform poorly over data sparse regions. By combining the CRU method with a short-term gauge-satellite merged global daily precipitation data set (Climate Prediction Center morphing technique) and a global long-term monthly precipitation data set (Global Precipitation Climatology Centre) with far more gauges than used in CRU, a new 0.5 degrees global N data set from 1901 to 2010 is developed, which differs significantly from CRU N. Compared with three independent regional daily precipitation products over the U.S., China, and South America based on much denser gauge networks than used in CRU, the new product shows significant improvement over CRU N.
dc.description.sponsorshipNASA [NNX14AM02G]; NSF [AGS-0944101]; Agnese Nelms Haury Program in Environment and Social Justiceen
dc.language.isoenen
dc.publisherAMER GEOPHYSICAL UNIONen
dc.relation.urlhttp://doi.wiley.com/10.1002/2016GL070244en
dc.rights©2016. American Geophysical Union. All Rights Reserved.en
dc.titleDevelopment of a 0.5° global monthly raining day product from 1901 to 2010en
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Dept Hydrol & Atmospher Scien
dc.identifier.journalGeophysical Research Lettersen
dc.description.noteFirst published: 28 September 2016; 6 Month Embargo.en
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
dc.eprint.versionFinal published versionen
dc.contributor.institutionDepartment of Hydrology and Atmospheric Sciences; University of Arizona; Tucson Arizona USA
dc.contributor.institutionDepartment of Hydrology and Atmospheric Sciences; University of Arizona; Tucson Arizona USA
refterms.dateFOA2017-03-30T00:00:00Z
html.description.abstractWhile several long-term global data sets of monthly precipitation amount (P) are widely available, only the Climate Research Unit (CRU) provides long-term global monthly raining day number (N) data (i.e., daily precipitation frequency in a month), with P/N representing the daily precipitation intensity. However, because CRU N is based on a limited number of gauges, it is found to perform poorly over data sparse regions. By combining the CRU method with a short-term gauge-satellite merged global daily precipitation data set (Climate Prediction Center morphing technique) and a global long-term monthly precipitation data set (Global Precipitation Climatology Centre) with far more gauges than used in CRU, a new 0.5 degrees global N data set from 1901 to 2010 is developed, which differs significantly from CRU N. Compared with three independent regional daily precipitation products over the U.S., China, and South America based on much denser gauge networks than used in CRU, the new product shows significant improvement over CRU N.


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