Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)
- 2007.10a
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- Pages.153-155
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- 2007
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- 1226-9743(pISSN)
UNCERTAINTIES IN AMV ESTIMATION
- Sohn, Eun-Ha (Global Environment System Research Laboratory, National Institute of Meteorological Research, KMA) ;
- Cho, Hee-Je (Global Environment System Research Laboratory, National Institute of Meteorological Research, KMA) ;
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Ou, Mi-Lim
(Global Environment System Research Laboratory, National Institute of Meteorological Research, KMA)
;
- Kim, Yoon-Jae (Global Environment System Research Laboratory, National Institute of Meteorological Research, KMA)
- Published : 2007.10.31
Abstract
Korea Meteorological Administration (KMA) has operationally produced Atmospheric Motion Vector (AMV) from the consecutive MTSAT-1R satellite image dataset. Comparing with radiosonde data, our current AMV scheme shows more than 10 m/s RMSE. Therefore we need to improve continuously its accuracy. Many AMV producers have stated that the bad performance of the Height Assignment (HA) algorithm is the main reason of degrading the accuracy of AMV. The uncertainties in AMV HA can occur in the algorithm itself, used NWP profiles, and the performance of Radiative Transfer Model (RTM) etc. This study introduces currently operated AMV HA schemes and the impacts of NWP profile data and RTM that these schemes use were investigated. Finally we analyzed the relationship between vectors by vector tracking and heights assigned to each vector by using collocated wind profile dataset with radiosonde data. This study is a preliminary work to improve the accuracy of AMV by removing or decreasing the uncertainties in AMV estimation.