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Abstract

The National Meteorological Satellite Center in Korea retrieves land surface temperature (LST) by applying the split-window LST algorithm (CSW_v1.0) to Communication, Ocean, and Meteorological Satellite (COMS) data. Considerable errors were detected under conditions of high water vapor content or temperature lapse rates during validation with Moderate Resolution Imaging Spectroradiometer (MODIS) LST because of the too simplified LST algorithm. In this study, six types of LST retrieval equations (CSW_v2.0) were developed to upgrade the CSW_v1.0. These methods were developed by classifying “dry,” “normal,” and “wet” cases for day and night and considering the relative sizes of brightness temperature difference (BTD) values. Similar to CSW_v1.0, the LST retrieved by CSW_v2.0 had a correlation coefficient of 0.99 with the prescribed LST and a slightly larger bias of −0.03 K from 0.00K; the root mean square error (RMSE) improved from 1.41 K to 1.39 K. In general, CSW_v2.0 improved the retrieval accuracy compared to CSW_v1.0, especially when the lapse rate was high (mid-day and dawn) and the water vapor content was high. The spatial distributions of LST retrieved by CSW_v2.0 were found to be similar to the MODIS LST independently of the season, day/night, and geographic locations. The validation using one year’s MODIS LST data showed that CSW_v2.0 improved the retrieval accuracy of LST in terms of correlations (from 0.988 to 0.989), bias (from −1.009 K to 0.292 K), and RMSEs (from 2.613 K to 2.237 K).

제목
Oh, S.-G et al. Projection of high resolution climate change for South Korea using multiple-regional climate models based on four RCP scenarios. Part 2: Precipitation. APJAS, 52(2), 171-189  
Suh, M.-S et al, Projections of High Resolution Climate Changes for South Korea Using Multiple-Regional Climate Models Based on Four RCP Scenarios. Part 1: Surface Air Temperature. APJAS, 52(2), 151-169  
Jin, C.-S, D.-H. Cha, D.-K. Lee, M.-S. Suh, S.-Y. Hong, H.-S. Kang and C.-H. Ho, 2015: Evaluation of climatological tropical cyclone activity over the western North Pacific in the CORDEX‑East Asia multi‑RCM simulations. Clim Dyn,  
Park, C., S.-K. Min, D. Lee, d.-H. Cha, M.-S. Suh, H.-S. kang, S.-Y. Hong, D.-K. Lee, H.-J. Baek, K.-O. Boo and W.-T. Kwon, 2015: Evaluation of multiple regional climate models for summer climate extremes over East Asia. Clim Dyn, 2015,  
Suh, M.-S. and C. Kim, 2015: Change-Point Analysis of Tropical Night Occurrences for Five Major Cities in Republic of Korea. Advances in Meteorology, 2015, 1-11, doi:10.1155/2015/801981.  
Cho, A-Ra, Y.-Y. Choi and M.-S. Suh, 2015: Improvements of a COMS land surface temperature retrieval algorithm based on the temperature lapse rate and water vapor/aerosol effect, Remote sens., 7, 1777-1797.  
Suh, M.-S. and S.-G. Oh, 2015: Impacts of boundary conditions on the simulation of atmospheric fields using RegCM4 over CORDEX East Asia. Atmos., 6, 783–804.  
Seok-Geun Oh, Myoung-Seok Suh, and Dong-Hyun Cha, 2013: Impact of Boundary Conditions on Precipitation and Temperature Extremes over South Korea in the CORDEX Regional Climate Simulation Using RegCM4, APJAS, 49(4), 497-509,  
Youn-Young Choi, Myoung-Seok Suh and Ki-Hong Park, 2014: Assessment of Surface Urban Heat Islands over Three Megacities in East Asia Using Land Surface Temperature Data Retrieved from COMS, Remote Sens. 2014, 6, 5852-5867; doi:10.3390/rs6065852  
Seok-Geun Oh, Ju-Hee Park, Sang-Hyun Lee, and Myoung-Seok Suh, 2014: Assessment of the RegCM4 over East Asia and future precipitation change adapted to the RCP scenarios, JGR-Atmosphere, 119, doi:10.1002/ 2013JD020693.  
Cho A.-R. and M.-S. Suh, 2013: Evaluation of land surface temperature operationally retrieved from Korean geostationary satellite (COMS) data, Remote Sens.,5(8), 3951-3970p.  
Ji-Woo Lee, Song-You Hong, Eun-Chul Chang, Myoung-Seok Suh, and Hyun-Suk Kang, 2013: Assessment of future climate change over East Asia due to the RCP scenarios downscaled by GRIMS-RMP, Climate Dynamics, soi:10.1007/s00382-013-1841-6.  
A-Ra Cho and Myoung-Seok Suh, 2013, Detection of contaminated pixels based on the short-term continuity of NDVI and correction using spatio-temporal continuity, APJAS, 49(4), pp511-525  
Chansoo Kim and Myoung-Seok Suh, 2013: Prospects of using bayesian model averaging for the calibration of one-month forecasts of surface air temperature over South Korea, APJAS, 49(3), 301-311, doi:10.1007/s13143-013-0029-7.  
Ju-Hee Park, Soek-Geun Oh, Myoung-Seok Suh, 2013: Impacts of boundary conditions on the precipitation simulation of RegCM4 in the CORDEX East Asia domain, JGR-Atmosphere, 118, 1-16p, doi:10.1002/jgrd.50159.  
Suh, M.-S., S.-G. Oh, D.-K. Lee, D.-H. Cha, S.-J. Choi, C.-S. Jin, and S.-Y. Hong, 2012, Development of new ensemble methods based on the performance skills of regional climate models over South Korea, J. of Climate,  
Kang, J.-H., M.-S., Suh, K.-O. Hong, and C.-S. Kim, 2011, Development of updateable model output statistics (UMOS) system for air temperature over South Korea, APJAS, 47(2), 199-211. RACS  
Hyo-Sik Eom and Myoung-Seok Suh, 2011, Seasonal and diurnal variations of stability indices and environmental parameters using NCEP FNL data over East Asia, APJAS, 47(2), 181-192. RACS  
Seo, Eun-Kyoung, Guosheng Liu, Myoung-Seok, Suh, and Byoung-Ju Sohn, 2010, The varying response of microwave signatures to different types of over land rainfall found over the Korean Peninsula, DOI:10.1175/2009/JTECHA1364.1,  
Kim, Chansoo, Suh, Myoung-Seok, Hong, Ki-Ok, 2009: Bayesian Changepoint Analysis of the Annual Maximum of Daily and Subdaily Precipitation over South Korea, J. Climate, DOI:10.1175/2009JCLI2800.1, 22, 6741-6757  

Meteorological Satellite Research Lab.
Department of Atmospheric Science Konju National University
56, Gongjudaehak-ro, Gongju-si, Chungcheongnam-do, Korea
TEL : +82-41-850-8533 l E-mail : sms4@kongju.ac.kr

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