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contributor authorZhang, Xinxuan
contributor authorAnagnostou, Emmanouil N.
contributor authorVergara, Humberto
date accessioned2017-06-09T17:16:40Z
date available2017-06-09T17:16:40Z
date copyright2016/04/01
date issued2016
identifier issn1525-755X
identifier otherams-82282.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4225379
description abstractatellite-retrieved precipitation has the potential to support flood modeling in mountainous areas. However, to reach this potential satellite estimates need to be corrected for the severe underestimation exhibited in orography-induced heavy precipitation events (HPEs). This paper assesses an existing satellite precipitation error correction technique driven by high-resolution numerical weather prediction (NWP) simulations of HPEs in complex terrain. The study is based on NOAA Climate Prediction Center morphing technique (CMORPH) high-resolution precipitation estimates of six such events induced by hurricane landfalls in the southern Appalachian mountainous region. A distributed hydrological model (Coupled Routing and Excess Storage model) is applied to evaluate the impact of the proposed satellite precipitation error correction on flood simulations for 20 basins of various sizes in this mountainous region. The results demonstrate significant improvements due to the NWP-based adjustment technique in terms of both the precipitation error characteristics and corresponding runoff simulations. These improvements are shown to be comparable to those from the postprocessed gauge-adjusted CMORPH precipitation product, which is promising for advancing hydrologic uses of satellite rainfall in mountainous areas lacking ground observations.
publisherAmerican Meteorological Society
titleHydrologic Evaluation of NWP-Adjusted CMORPH Estimates of Hurricane-Induced Precipitation in the Southern Appalachians
typeJournal Paper
journal volume17
journal issue4
journal titleJournal of Hydrometeorology
identifier doi10.1175/JHM-D-15-0088.1
journal fristpage1087
journal lastpage1099
treeJournal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 004
contenttypeFulltext


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