Type of Document Thesis Author Winterbottom, Henry Robert Author's Email Address email@example.com URN etd-11092006-153511 Title Algorithms for Advanced Tropical Cyclone Visualization Degree Master of Science Department Meteorology, Department of Advisory Committee
Advisor Name Title Xiaolei Zou Committee Chair Gordon Erlebacher Committee Co-Chair Gousheng Liu Committee Member Mark Bourassa Committee Member Keywords
- Vortex Removal
- Tropical Cyclone Visualization
- Environmental Steering Flow
Date of Defense 2006-09-21 Availability unrestricted AbstractWith the events of recent years - especially in the Atlantic tropical basin, the need for additional forecast tools to aid in tropical
cyclone (TC) prediction and understanding is apparent. A suite of algorithms to be used for 3-D TC visualization are presented. Utilizing the assets of the Amira visualization software, we present methods which constitute a real-time visualization routine of TC genesis, mesoscale, and TC centered features derived from the The Florida State University (FSU) adaptation of the Pennsylvania State University (PSU) and National
Center for Atmospheric Research (NCAR) Fifth Generation Mesoscale Model (MM5). However, the algorithms we develop are generic in that
they can be applied to any gridded output from a forecast model.
A method for the removal TC vorticity fields allowing an approximation of the environmental steering levels is also developed. The development and use of an adaptive wavenumber refinement filter (AWRF) has proven to outperform various alternative methods for TC vortex removal and thus the preservation of the environmental flow. Case study inter-comparisons are performed and
illustrate that the AWRF provides the smallest mean track errors in future forecast position compared to those determined by the model's
use of minimum sea level pressure (SLP) and vorticity maxima algorithm for TC center location. Discussions are also provided suggesting areas
of needed improvement within the algorithm as illustrated by the case studies presented.
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