Hydrologic evaluation of the global precipitation measurement mission over the U.S.: Flood peak discharge and duration
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2023
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Details
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Journal Title:Journal of Hydrology
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Description:In recent years, a great amount of research has been done towards evaluating precipitation data generated by satellites, but less has focused on how these estimates and their uncertainties manifest further into the water cycle. In this study, ten years of satellite-based and ground-based radar data are used as forcings for a distributed hydrologic model across the Continental United States. They are compared using a methodology designed to assess the flood signals and characteristics generated by the model. By focusing on how well the model reproduces flood characteristics rather than fits traditional bulk statistics, this research provides robust insights into satellite precipitation deficiencies. It is found that satellite data has greater success at resolving lower magnitude flood events while tending to generate floods of longer durations. Additionally, flood managers should note that satellites tend to generate floods that characteristically both begin earlier and end later than the ground radar reference. Subsequent research is recommended into other satellite data products in order to better understand these discrepancies and mitigate or plan for them in the future.
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Source:Journal of Hydrology, 617, 129124
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DOI:
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ISSN:0022-1694
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Rights Information:CC BY-NC-ND
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Rights Statement:The NOAA IR provides access to this content under the authority of the government's retained license to distribute publications and data resulting from federal funding. While users may legally access this content, the copyright owners retain rights that govern the reproduction, redistribution, and re-use of this work. The user is solely responsible for complying with applicable copyright law.
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Compliance:Library
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Main Document Checksum:urn:sha-512:a3249078a32f51a57aac83918475ea96fca7066ceedd2e0c04e9816ef1e8ab7bb900656ab472bb30476d832adf96fc8a8a2021e1cada351e4d9d189be9d2ed56
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