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Effect of cloud macroscale properties on climate forecasting in the tropics
Descriptive
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Title
Effect of cloud macroscale properties on climate forecasting in the tropics
Name
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Foster
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Michael J.
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Michael J. Foster
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author
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Veron
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Dana
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Advisory Committee
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Dana E Veron
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chair
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Broccoli
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Anthony
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Advisory Committee
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Anthony Broccoli
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internal member
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Francis
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Jennifer
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Advisory Committee
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Jennifer Francis
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internal member
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Tselioudis
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George
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Advisory Committee
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George Tselioudis
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Rutgers University
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degree grantor
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Graduate School - New Brunswick
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theses
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2008
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2008-10
Language
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English
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electronic
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xiv, 129 pages
Abstract
This work represents an effort to improve climate model treatment of shortwave radiative transfer through cloudy atmosphere. Results from a stochastic model, which statistically represents radiative transfer through broken cloud fields using a Markovian distribution of observed cloud chord lengths, are compared against those of a plane-parallel model for a variety of cloudy scenes observed in the tropics over a four year period in an effort to reduce the error in radiative transfer calculations due to neglected cloud field morphology. A k-means clustering algorithm is applied to observed cloud optical and dynamical properties in order to identify the presence of specific cloud regimes, which in turn are categorized using large-scale simulated climate variables. The results from the model comparison and cluster analysis are used to develop criteria by which to identify situations where the stochastic model outperforms a traditional plane-parallel model. These criteria are applied to output from a climate model resulting in the identification of some of the issues involved in applying a parameterization developed with observations to model-generated cloud fields.
Note
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Ph.D.
Note
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Includes bibliographical references (p. 123-128).
Subject
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Topic
Atmospheric Science
Subject
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Topic
Weather forecasting
Subject
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Topic
Meteorological models
Subject
(ID = SUBJ4);
(authority = ETD-LCSH)
Topic
Climatic changes
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Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
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rucore19991600001
Identifier
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http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17471
Identifier
ETD_1279
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NjNbRU
Identifier
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doi:10.7282/T3FX79RP
Genre
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ETD doctoral
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Rights
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The author owns the copyright to this work.
Copyright
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Copyright protected
Availability
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Open
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Name
Michael Foster
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Affiliation
Rutgers University. Graduate School - New Brunswick
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Non-exclusive ETD license
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Statistical Profile