Improving Scatterometry Retrievals of Wind in Hurricanes Using Non-Simultaneous Passive Microwave Estimates of Precipitation and a Split-Step Advection/Convection Model |
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| Authors: | Alex Fore Ziad S Haddad T N Krishnamurti Ernesto Rodgridez |
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| Institution: | (1) Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA;(2) Department of Meteorology, Florida State University, Tallahassee, FL, USA;; |
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| Abstract: | One of the current problems in the accurate estimation of over-ocean wind from scatterometry observations is the proper accounting
for precipitation. Specific cases such as hurricanes are particularly difficult, because precipitation in the eye wall and
rain bands can be quite heavy, and therefore, affect the scatterometer signatures so drastically that a category-4 hurricane
can appear, to the scatterometer, to have category-1 winds. We have developed an approach to infer and account for the signature
of the precipitation from non-simultaneous passive-microwave measurements of rain, with the help of geostationary IR measurements.
In this note, we describe the basic approach, and the results of applying it to the data taken by the Tropical Rainfall Measurement
Mission Microwave Imager measurements several hours before and after the QuikSCAT observation of Hurricane Rita in September
2005. We also describe how we are enhancing the approach with more realism in the assimilation of the IR information. |
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