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Luo, ZZ, Stephens, GL, Emanuel, KA, Vane, DG, Tourville, ND, Haynes, JM (2008). On the use of CloudSat and MODIS data for estimating hurricane intensity. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 5(1), 13-16.

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, 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 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.

DOI:
10.1109/LGRS.2007.905341

ISSN:
1545-598X

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