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dc.identifier.urihttp://hdl.handle.net/11401/78263
dc.description.sponsorshipThis work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.en_US
dc.formatMonograph
dc.format.mediumElectronic Resourceen_US
dc.language.isoen_US
dc.typeThesis
dcterms.abstractThis study examines the influence of aerosol model configuration, prescribed and prognostic models, on the formation of tropical cyclones (TCs) in the North Atlantic Ocean in the Community Atmosphere Model version 5 (CAM5). The impact of the aerosol parameterization is examined by investigating storm track density, genesis density, potential intensity, and genesis potential index. Landfalling and land impacting TCs are also compared between the two model simulations. This work shows that both CAM5 configurations simulate reduced storm frequency when compared to observations and that differences in TC climatology between the model configurations can be explained by differences in the large-scale environment. Landfall frequency along the East Coast of the U.S. decreases with the decrease in TC formation as expected. The analysis shows that the prognostic aerosol parameterization scheme in CAM5 reasonably captures the observed interannual variability in tropical cyclones and aerosols (i.e., dust) in the North Atlantic, while the prescribed configuration (climatology) does not. The correlation between dust and TCs in observations (i.e., reanalysis and satellite datasets) is shown to be negatively correlated (r=-0.43 and r=-0.49, respectively) and this relationship was also found for the CAM5 prognostic aerosol configuration (r=-0.34), despite an overall decrease in the frequency of TCs. Both models underrepresent the overall precipitation and extreme precipitation events that results from landfalling TCs in the region compared to observations. This indicates that in order to accurately replicate certain aspects of TC interannual variability, the aerosol configuration within CAM5 needs to account for the appropriate dust variability.
dcterms.available2018-06-21T13:38:47Z
dcterms.contributorReed, Kevin Aen_US
dcterms.contributorHameed, Sultanen_US
dcterms.contributorColle, Brianen_US
dcterms.creatorHuff, James Jacob
dcterms.dateAccepted2018-06-21T13:38:47Z
dcterms.dateSubmitted2018-06-21T13:38:47Z
dcterms.descriptionDepartment of Marine and Atmospheric Scienceen_US
dcterms.extent43 pg.en_US
dcterms.formatApplication/PDFen_US
dcterms.formatMonograph
dcterms.identifierhttp://hdl.handle.net/11401/78263
dcterms.issued2017-12-01
dcterms.languageen_US
dcterms.provenanceMade available in DSpace on 2018-06-21T13:38:47Z (GMT). No. of bitstreams: 1 Huff_grad.sunysb_0771M_13572.pdf: 2465866 bytes, checksum: 2b254ac844240e49f2bc05042c6cbfe9 (MD5) Previous issue date: 12en
dcterms.subjectAfrican Dust
dcterms.subjectAtmospheric physics
dcterms.subjectAtmospheric chemistry
dcterms.subjectextreme precipitation
dcterms.subjecthigh resolution modeling
dcterms.subjectTropical cyclones
dcterms.titleEvaluating the Influence of CAM5 Aerosol Configuration on Simulated Tropical Cyclones in the North Atlantic and Associated East Coast Precipitation
dcterms.typeThesis


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