Multi-Scale Analysis of Observations of Tropical Cyclones with Applications to High-Resolution Hurricane Modeling

dc.contributor.advisorSparling, Lynn
dc.contributor.authorTrahan, Samuel Gerard
dc.contributor.departmentPhysics
dc.contributor.programPhysics, Atmospheric
dc.date.accessioned2015-10-14T03:13:41Z
dc.date.available2015-10-14T03:13:41Z
dc.date.issued2011-01-01
dc.description.abstractTropical cyclone numerical models, a critical tool to forecasters, have been run at resolutions of around 9-30 km in operational centers until recently. It is currently possible to run in the range of 1-4 km resolution, which may allow a model to resolve small-scale dynamical processes critical to tropical cyclone intensity. A 3km version of the NCEP HWRF model is developed for that purpose and its competitive track and intensity forecasting abilities are demonstrated. To determine if the small scales are resolved correctly, a statistical framework for comparison to observations of small-scales is developed. The standard definition of a model's forecast intensity is examined, and found to have a systematic, resolution-dependent bias. A database of TRMM overpasses of over eight hundred tropical cyclones is produced and used to show a relationship between storm-scale cloud top temperature and storm wind intensity. However, all storms, regardless of strength, produce near-tropopause cloud tops, and storms undergoing rapid intensification (RI) tend to have higher cloud tops than non-RI storms. In an analysis of in-situ wind data, vertical wind is shown to be scale-invariant, with no correlation beyond, nominally, 2 km scales. This new framework for comparison is used to show that model's cloud tops have the right relationships with intensity and intensification, but that downdrafts are weak and rare. Model ""spin-up"" issues are seen: in the first six hours, some storms rapidly gain fine-scale 3 km resolution wind maxima that hurt the forecast and others weaken uniformly at all resolutions. In addition, a model bug is found in this and operational HWRF: all microphysics type fractions are discarded when the nest moves. Overall, the research presented in this demonstrates the value of statistical diagnostics for high-resolution models. In addition, this research presents a framework for a deeper investigation of tropical cyclone small-scale dynamics.
dc.formatapplication/pdf
dc.genredissertations
dc.identifierdoi:10.13016/M2WM32
dc.identifier.other10544
dc.identifier.urihttp://hdl.handle.net/11603/1067
dc.languageen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Theses and Dissertations Collection
dc.relation.ispartofUMBC Graduate School Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Physics Department Collection
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://aok.lib.umbc.edu/specoll/repro.php or contact Special Collections at speccoll(at)umbc.edu.
dc.sourceOriginal File Name: Trahan_umbc_0434D_10544.pdf
dc.subjecthurricanes
dc.subjectHWRF
dc.subjectmodel diagnostics
dc.subjectnumerical modeling
dc.subjecttropical cyclones
dc.subjecttubulence
dc.subjectUMBC High Performance Computing Facility (HPCF)
dc.titleMulti-Scale Analysis of Observations of Tropical Cyclones with Applications to High-Resolution Hurricane Modeling
dc.typeText
dcterms.accessRightsAccess limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan through a local library, pending author/copyright holder's permission.

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