Sensitivity to data assimilation of KORMEX-IOP data using KLAPS in the
Seong-On Hwang (1), Yong-Sang Kim (1), Won-Tae Kwon (1)
(1) Meteorological Research Institute/KMA
KORMEX(KORea Monsoon EXperiment), an intensive field observation project in Korea for monitoring and understanding Changma, was performed in collaboration with the GEWEX Asia Monsoon Experiment (GAME) in rainy season from 1998 to 1999. The 1st and 2nd KORMEX-IOP were conducted on 1 June бн 30 July 1998 and 1999 in Korea, respectively. They are composed of not only enhanced in situ meteorological observations such
as surface, AWS, radar, aerological, rawinsonde, and marine meteorological observation but also intensive rawinsonde experiments at additional sites. Intensive rawinsonde experiments for upper-air were conducted four times per day at both 4 operational and 4 additional observation sites from 25 June to 4 July 1998 (IOP-1), and from 26 June to 5 July 1999 (IOP-2), respectively.
In this study we investigate a mesoscale effect on the analysis and the prediction skill for rainfall system across the Korea by applying Korea Local Analysis and Prediction System (KLAPS) using KORMEX-IOP data. Developed by FSL/NOAA since 1990, KLAPS is adopted to produce
high-resolution data fields by assimilating all of the IOP data in Korea to GAME reanalysis ver. 1.0 data which is used as the first guess. We compared the first guess fields with the assimilated analysis fields especially for the rainfall events on IOP-2 period. In addition, some numerical simulations are tried using MM5 of PSU/NCAR to examine an effect of a high-resolution data assimilation on short-range forecast. Analysis fields produced from assimilation process show a much better look of mesoscale phenomena around Korea than first guess. And the results of simulation study also turn out to be a little improvement in terms of rainfall amount, migrating convective system, etc.
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Seong-On Hwang
07-Jun-01-19:27:02
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Meteorological Research Institute, Korea Meteorological Administration
