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An improved numerical model for calculations of transport and size distributions of atmospheric aerosols and cloud droplets

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TitleInfo (displayLabel = Citation Title); (type = uniform)
Title
An improved numerical model for calculations of transport and size distributions of atmospheric aerosols and cloud droplets
Name (ID = NAME001); (type = personal)
NamePart (type = family)
Akberov
NamePart (type = given)
Roald
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Roald Akberov
Role
RoleTerm (authority = RULIB)
author
Name (ID = NAME002); (type = personal)
NamePart (type = family)
Stenchikov
NamePart (type = given)
Georgiy
Affiliation
Advisory Committee
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Georgiy L Stenchikov
Role
RoleTerm (authority = RULIB)
chair
Name (ID = NAME003); (type = personal)
NamePart (type = family)
Diez
NamePart (type = given)
Francisco
Affiliation
Advisory Committee
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Francisco J Diez
Role
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internal member
Name (ID = NAME004); (type = personal)
NamePart (type = family)
Bagchi
NamePart (type = given)
Prosenjit
Affiliation
Advisory Committee
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Prosenjit Bagchi
Role
RoleTerm (authority = RULIB)
internal member
Name (ID = NAME005); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (ID = NAME006); (type = corporate)
NamePart
Graduate School - New Brunswick
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school
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Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2008
DateOther (qualifier = exact); (type = degree)
2008-01
Language
LanguageTerm
English
PhysicalDescription
Form (authority = marcform)
electronic
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application/pdf
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text/xml
Extent
viii, 104 pages
Abstract
Aerosols and cloud droplets in the atmosphere appear in different sizes. They can be transported by wind and experience various microphysical changes due to nucleation, collisional and condensational growth, evaporation and sedimentation. These microphysical processes affect optical properties of clouds and aerosols, and through it, they affect climate. Climate models usually lack a microphysical module, but instead use various parameterizations to represent clouds in the terrestrial atmosphere. Coupling between cloud microphysical models and climate models could improve the quality of numerical predictions of climate. In this study, CARMA (Community Aerosol and Radiation Model for Atmospheres), which is one of the best available microphysical models for calculation of size distributions of atmospheric aerosols and cloud droplets based on environmental conditions, has been redesigned and rewritten for coupling with numerical models of climate. In the revised model, data transfer between subroutines is handled via lists of arguments. The microphysical part of CARMA v. 2.2 was isolated from other processes, such as radiation and transport, and prepared for coupling with existing climate models. Changes were made to the vertical transport subroutines. The PPM (Piecewise Parabolic Method) method of solving the advection equation was replaced with the REA (Reconstruct-Evolve-Average) method, complemented with the minmod slope limiter. The sedimentation equation is now solved using the upwind method. Sedimentation fluxes, used by the upwind method, are calculated inside the microphysical part of CARMA. The ability of the revised CARMA model to reproduce the observed microstructure of a marine stratocumulus cloud over the North Sea was tested. The improved model closely reproduces most of the observed properties of the cloud and aerosols.
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references (p. 102-104).
Subject (ID = SUBJ1); (authority = RUETD)
Topic
Mechanical and Aerospace Engineering
Subject (ID = SUBJ2); (authority = ETD-LCSH)
Topic
Atmospheric aerosols
Subject (ID = SUBJ3); (authority = ETD-LCSH)
Topic
Atmospheric physics
Subject (ID = SUBJ4); (authority = ETD-LCSH)
Topic
Condensation (Meteorology)
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17095
Identifier
ETD_694
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3T72HTP
Genre (authority = ExL-Esploro)
ETD graduate
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The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
AssociatedEntity (AUTHORITY = rulib); (ID = 1)
Name
Roald Akberov
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
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Type
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Detail
Non-exclusive ETD license
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License
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Author Agreement License
Detail
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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