Sangam: A Confluence of Knowledge Streams

Tropical cyclone precipitation risk in the Southern United States

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dc.contributor Kerry A. Emanuel.
dc.contributor Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences.
dc.contributor Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences.
dc.creator Shedd, Sandra Michael
dc.date 2015-09-17T19:04:08Z
dc.date 2015-09-17T19:04:08Z
dc.date 2015
dc.date 2015
dc.date.accessioned 2022-05-04T06:26:38Z
dc.date.available 2022-05-04T06:26:38Z
dc.identifier http://hdl.handle.net/1721.1/98676
dc.identifier 920682602
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/2947
dc.description Thesis: S.M. in Climate Physics and Chemistry, Massachusetts Institute of Technology, Department of Earth, Atmospheric, and Planetary Sciences, 2015.
dc.description Cataloged from PDF version of thesis.
dc.description Includes bibliographical references (pages 81-83).
dc.description This thesis works to evaluate the new rainfall algorithm that is used to simulate longterm tropical cyclone precipitation (TCP) climatology throughout the southeastern United States. The TCP climatology is based on a fleet of synthetic tropical cyclones developed using National Center for Atmospheric Research/National Centers for Environmental Prediction reanalysis data from 1980 to 2010 and the Coupled Hurricane Intensity Prediction System (CHIPS) model. The climatology is compared to hourly rainfall estimates from the WSR-88D Next Generation Weather Radar (NEXRAD-II) system. In general the synthetic TCP estimates show good agreement with radar-based observations. The rainfall algorithm appears to perform better at coastal locations versus inland ones, and in general has better agreement in the eastern locations considered in this study. In addition, the spatial dependence of radar rainfall estimates was addressed, and in general more extreme TCP-events exhibited a greater degree of event total precipitation variation at grid box-scale. Finally, preliminary work incorporating streamflow measurements as a metric for assessing TCP risk using the synthetic rainfall climatology was begun. Correlation between both grid box-specific and basin-average radar-based event TCP and surface streamflow measurements (from the U.S. Geological Survey National Water Information System) varied greatly, and was generally moderate, and future work should incorporate more thorough streamflow modeling in order to evaluate these comparisons.
dc.description by Sandra Michael Shedd.
dc.description S.M. in Climate Physics and Chemistry
dc.format 83 pages
dc.format application/pdf
dc.language eng
dc.publisher Massachusetts Institute of Technology
dc.rights M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
dc.rights http://dspace.mit.edu/handle/1721.1/7582
dc.subject Earth, Atmospheric, and Planetary Sciences.
dc.title Tropical cyclone precipitation risk in the Southern United States
dc.type Thesis
dc.coverage n-us---


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