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Determining the Error Characteristics of H*WIND

Title: Determining the Error Characteristics of H*WIND.
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Name(s): Dinapoli, Steven, author
Bourassa, Mark, professor directing thesis
Powell, Mark, committee member
Hart, Robert, committee member
Liu, Guosheng, committee member
Department of Earth, Ocean and Atmospheric Sciences, degree granting department
Florida State University, degree granting institution
Type of Resource: text
Genre: text
Issuance: monographic
Date Issued: 2010
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
Physical Form: online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: The HRD Real-time Hurricane Wind Analysis System (H*Wind) is a software application used by NOAA's Hurricane Research Division to create a gridded tropical cyclone wind analysis based on a wide range of observations. One application of H*Wind fields is calibration of scatterometers for high wind speed environments. Unfortunately, the accuracy of the H*Wind product has not been studied extensively, and therefore the accuracy of scatterometer calibrations in these environments is also unknown. This investigation seeks to determine the uncertainty in the H*Wind product and estimate the contributions of several potential error sources. These error sources include random observation errors, relative bias between different data types, temporal drift resulting from combining non-simultaneous measurements, and smoothing and interpolation errors in the H*Wind software. The effects of relative bias between different data types and random observation errors are determined by performing statistical calculations on the observed wind speeds. We show that in the absence of large biases, the total contribution of all error sources results in an uncertainty of approximately 7% near the storm center, which increases to nearly 15% near the tropical storm force wind radius. The H*Wind analysis algorithm is found to introduce a positive bias to the wind speeds near the storm center, where the analyzed wind speeds are enhanced to match the highest observations. In addition, spectral analyses are performed to ensure that the filter wavelength of the final analysis product matches user specifications. With increased knowledge of these error sources and their effects, researchers will have a better understanding of the uncertainty in the H*Wind product, and can then judge the suitability of H*Wind for various research applications
Identifier: FSU_migr_etd-0090 (IID)
Submitted Note: A Thesis submitted to the Department of Earth, Ocean, and Atmospheric Science in partial fulfillment of the requirements for the degree of Master of Science.
Degree Awarded: Degree Awarded: Fall Semester, 2010.
Date of Defense: Date of Defense: October 8, 2010.
Keywords: Hurricane, Tropical Cyclones, Wind Analysis, Uncertainty
Bibliography Note: Includes bibliographical references.
Advisory committee: Mark Bourassa, Professor Directing Thesis; Mark Powell, Committee Member; Robert Hart, Committee Member; Guosheng Liu, Committee Member.
Subject(s): Earth sciences
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_migr_etd-0090
Owner Institution: FSU