88th Annual Meeting (20-24 January 2008)

Tuesday, 22 January 2008: 1:30 PM
On the Use of CloudSat and MODIS data for Estimating Hurricane Intensity
210 (Ernest N. Morial Convention Center)
Zhengzhao Luo, Colorado State Univ., Fort Collins, CO; and G. Stephens, K. A. Emanuel, D. G. Vane, N. Tourville, and J. M. Haynes
This submission presents preliminary results concerning the use of new observations from the A-Train Constellation for testing a new technique of remotely sensing hurricane intensity from space based on modeling a hurricane as a balanced, convectively neutral vortex. The key observational requirements are simultaneous, accurate measurements of cloud-top height, cloud-top temperature and cloud profiling information across the center of the storm, although there are ways to bypass the need for cloud-top temperature. In this study, MODIS on board Aqua provides an estimation of the cloud-top temperature and the near-simultaneous CloudSat observations provide the essential cloud-top height and cloud profiling information. Initial results indicate that the new technique is a promising method for estimating storm intensity when compared, post facto, to the best track database. Potential uncertainties and room for further refinement of the technique are discussed.

Supplementary URL: http://www.sci.ccny.cuny.edu/~luo/publications/Luo_IEEE_2007.pdf