Diagnosing landfalling tropical cyclone structures using VORTRAC [presentation]

AMS Citation:
Lee, W. -chau, P. Harasti, and M. Bell, 2012: Diagnosing landfalling tropical cyclone structures using VORTRAC [presentation]. AOGS-AGU (WPGM) Joint Assembly 2012, Singapore, SG.
Date:2012-08-14
Resource Type:conference material
Title:Diagnosing landfalling tropical cyclone structures using VORTRAC [presentation]
Abstract: Landfalling tropical cyclones (TCs) have been routinely monitored by coastal Doppler radars in the United States, East Asia, Australia, and other places. The Doppler radar observations provided proxies of TC's location, size, intensity, and rainfall via the radar reflectivity factor and Doppler velocity. In recent years, the development of the Velocity Track Display (VTD) technique, the VTD-SIMPLEX vortex center finding algorithm, and a hurricane volume velocity processing (HVVP) TC mean wind estimator enabled reasonable deduction of TC's primary circulation, center position, and radius of maximum wind (RMW) from Doppler velocity. The VTD-retrieved pressure deficits in Hurricane Charley (2004) from single Doppler velocity and costal surface pressure measurements were consistent within several hPa from those measured from dropsondes released by US Hurricane reconnaissance C-130 aircraft. The promising success prompted the Joint Hurricane Testbed program of NHC to sponsor the development of an integrated software package called Vortex Objective Radar Tracking and Circulation (VORTRAC) between 2005 and 2007 to diagnose RMW and central pressure of landfalling hurricanes entering US coastline. VORTRAC was officially accepted by NHC in 2008 for operational use. This paper summarizes the VORTRAC package, its applications on several landfalling hurricanes, and future plans.
Peer Review:Non-refereed
Copyright Information:Copyright Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
OpenSky citable URL: ark:/85065/d7513xh2
Author(s):
  • Wen-chau Lee - NCAR/UCAR
  • Paul Harasti - NCAR/UCAR
  • Michael Bell - NCAR/UCAR
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