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Assimilation of Airs Radiance Observations into a Mesoscale Model

Title: Assimilation of Airs Radiance Observations into a Mesoscale Model: Adjoint Development, Quality Control, and Assimilation Results.
Name(s): Carrier, Matthew J. (Matthew James), author
Zou, Xiaolei, professor directing dissertation
Van Engelen, Robert A., outside committee member
Hart, Robert, committee member
Bourassa, Mark A., 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: 2008
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: Radiance data obtained from NASA's Advanced Infrared Sounder (AIRS) is used in an attempt to improve the mesoscale prediction of temperature and moisture using one- and four-dimensional variational data assimilation (1D/4D-Var). The joint National Center for Atmospheric Research and Pennsylvania State University fifth-generation mesoscale model (MM5) along with the Stand-alone AIRS Radiative Transfer Algorithm (SARTA) is selected for this project. This work aims to utilize AIRS "clear-channel" radiances to enhance the first-guess analysis regarding the temperature and moisture content as a precursor to improving short-term precipitation forecasts. The adjoint operator for SARTA has been derived and linked to the MM5 adjoint modeling system; a "clear-channel" identification scheme, which is compatible with SARTA, has been developed and verified; and a set of one-dimensional variational data assimilation (1D-Var) experiments have been done in order to determine the impact of AIRS channels on the vertical profiles of temperature and moisture. Lastly, a preliminary 4D-Var experiment is carried out to determine the impact of a limited number of clear-channel AIRS radiances on the prediction of temperature and moisture. An adjoint-sensitivity based forecast verification technique is used to compare the 4D-Var forecast results to a control forecast.
Identifier: FSU_migr_etd-4155 (IID)
Submitted Note: A Dissertation submitted to the Department of Metorology in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
Degree Awarded: Spring Semester, 2008.
Date of Defense: December 19, 2007.
Keywords: Clear Channels, AIRS, Assimilation, Quality Control
Bibliography Note: Includes bibliographical references.
Advisory Committee: Xiaolei Zou, Professor Directing Dissertation; Robert A. van Engelen, Outside Committee Member; Robert Hart, Committee Member; Mark A. Bourassa, Committee Member; Guosheng Liu, Committee Member.
Subject(s): Meteorology
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Owner Institution: FSU

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Carrier, M. J. (M. J. ). (2008). Assimilation of Airs Radiance Observations into a Mesoscale Model: Adjoint Development, Quality Control, and Assimilation Results. Retrieved from