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contributor authorTan, Jackson
contributor authorPetersen, Walter A.
contributor authorKirstetter, Pierre-Emmanuel
contributor authorTian, Yudong
date accessioned2017-06-09T17:17:20Z
date available2017-06-09T17:17:20Z
date copyright2017/02/01
date issued2016
identifier issn1525-755X
identifier otherams-82462.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4225579
description abstracthe Integrated Multisatellite Retrievals for GPM (IMERG), a global high-resolution gridded precipitation dataset, will enable a wide range of applications, ranging from studies on precipitation characteristics to applications in hydrology to evaluation of weather and climate models. These applications focus on different spatial and temporal scales and thus average the precipitation estimates to coarser resolutions. Such a modification of scale will impact the reliability of IMERG. In this study, the performance of the Final Run of IMERG is evaluated against ground-based measurements as a function of increasing spatial resolution (from 0.1° to 2.5°) and accumulation periods (from 0.5 to 24 h) over a region in the southeastern United States. For ground reference, a product derived from the Multi-Radar/Multi-Sensor suite, a radar- and gauge-based operational precipitation dataset, is used. The TRMM Multisatellite Precipitation Analysis (TMPA) is also included as a benchmark. In general, both IMERG and TMPA improve when scaled up to larger areas and longer time periods, with better identification of rain occurrences and consistent improvements in systematic and random errors of rain rates. Between the two satellite estimates, IMERG is slightly better than TMPA most of the time. These results will inform users on the reliability of IMERG over the scales relevant to their studies.
publisherAmerican Meteorological Society
titlePerformance of IMERG as a Function of Spatiotemporal Scale
typeJournal Paper
journal volume18
journal issue2
journal titleJournal of Hydrometeorology
identifier doi10.1175/JHM-D-16-0174.1
journal fristpage307
journal lastpage319
treeJournal of Hydrometeorology:;2016:;Volume( 018 ):;issue: 002
contenttypeFulltext


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