1 / 3

Improved Understanding and Diagnosis of Tropical Cyclone Structure and Structure Changes

Improved Understanding and Diagnosis of Tropical Cyclone Structure and Structure Changes. GOAL: Develop new tools that enhance the current capabilities to diagnose tropical cyclone (TC) structure and location using GOES-R advanced baseline imagery (ABI) and GOES lightning mapper (GLM) proxies.

galya
Download Presentation

Improved Understanding and Diagnosis of Tropical Cyclone Structure and Structure Changes

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Improved Understanding and Diagnosis of Tropical Cyclone Structure and Structure Changes GOAL: Develop new tools that enhance the current capabilities to diagnose tropical cyclone (TC) structure and location using GOES-R advanced baseline imagery (ABI) and GOES lightning mapper (GLM) proxies. John Knaff (PI,StAR) and Chris Rozoff (PI,CIMSS) Jim Kossin (NCDC) and Chris Landsea (NHC) Presented by M. DeMaria (co-Investigator, StAR)

  2. Storm Structure Affects Impacts Hurricane Charley 2004 Hurricane Ike 2008 Small category 4 Large category 2

  3. Research Summary • Use multi-spectral satellite and lighting data to improve center and wind structure estimation • Quantify factors responsible for TC size variation, especially variations in moisture • Guide algorithm development with high resolution WRF simulations • Microphysics sensitivity • Compare synthetic and real imagery • Statistical-dynamical models for size forecasting

More Related