대한원격탐사학회:학술대회논문집 (Proceedings of the KSRS Conference)
- 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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- Pages.282-285
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- 2007
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- 1226-9743(pISSN)
Introduction to Simulation Activity for CMDPS Evaluation Using Radiative Transfer Model
- Shin, In-Chul (Global Environment System Research Laboratory, National Institute of Meteorological Research, KMA) ;
- Chung, Chu-Yong (Global Environment System Research Laboratory, National Institute of Meteorological Research, KMA) ;
- Ahn, Myoung-Hwan (Global Environment System Research Laboratory, National Institute of Meteorological Research, KMA) ;
- Ou, Mi-Lim (Global Environment System Research Laboratory, National Institute of Meteorological Research, KMA)
- 발행 : 2007.10.31
초록
Satellite observed brightness temperature simulation using a radiative transfer model (here after, RTM) is useful for various fields, for example sensor design and channel selection by using theoretically calculated radiance data, development of satellite data processing algorithm and algorithm parameter determination before launch. This study is focused on elaborating the simulation procedure, and analyzing of difference between observed and modelled clear sky brightness temperatures. For the CMDPS (COMS Meteorological Data Processing System) development, the simulated clear sky brightness temperatures are used to determine whether the corresponding pixels are cloud-contaminated in cloud mask algorithm as a reference data. Also it provides important information for calibrating satellite observed radiances. Meanwhile, simulated brightness temperatures of COMS channels plan to be used for assessing the CMDPS performance test. For these applications, the RTM requires fast calculation and high accuracy. The simulated clear sky brightness temperatures are compared with those of MTSAT-1R observation to assess the model performance and the quality of the observation. The results show that there is good agreement in the ocean mostly, while in the land disagreement is partially found due to surface characteristics such as land surface temperature, surface vegetation, terrain effect, and so on.
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