Title :
On the Use of CloudSat and MODIS Data for Estimating Hurricane Intensity
Author :
Luo, Zhengzhao ; Stephens, Graeme L. ; Emanuel, Kerry A. ; Vane, Deborah G. ; Tourville, Natalie D. ; Haynes, John M.
Author_Institution :
Dept. of Earth & Atmos. Sci., City Coll. of New York, New York, NY
Abstract :
This letter 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, cloudtop 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 letter, the Moderate Resolution Imaging Spectroradiometer onboard 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.
Keywords :
atmospheric techniques; remote sensing; storms; A-Train Constellation; CloudSat data; MODIS data; Moderate Resolution Imaging Spectroradiometer Aqua satellite; convectively neutral vortex; hurricane intensity estimation; remote sensing; Radar applications; radar meteorological factors; satellite applications;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2007.905341