Extended Abstract (64K)P3.14
one dimensional variational assimilation experiments combining GOES sounder and imager radiance data
Dongsoo Kim, CIRES/Univ. of Colorado and NOAA/FSL, Boulder, CO; and D. Devenyi
The sounder data and imager data from GOES platform offer their unique usability for improving initial condition of numerical weather forecasting. The multi-channel sounder data are appropriate for describing vertical distribution of temperature and humidity profiles, while imager data are appropriate to detail horizontal structures, particularly cloud-top distribution. Hence the combination of sounder and imager will give best result in cloudy sky.
NOAA's Forecast Systems Laboratory developed a method to combine cloudy radiances of sounder and imager within one dimensional variational framework. The examples at the Southern Great Plain ARM/CART site using MAPS/RUC forecast will be shown. One dimensional versional is planned to be ported to real-time 20km MAPS/RUC.
Poster Session 3, Operational Applications
Tuesday, 16 October 2001, 9:15 AM-11:00 AM
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