http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
기후변화시나리오를 이용한 우리나라의 기후지대 변화 연구
김용석,심교문,정명표,최인태,강기경,Kim, Yongseok,Shim, Kyo-Moon,Jung, Myung-Pyo,Choi, In-Tae,Kang, Ki-Keong 한국농림기상학회 2017 한국농림기상학회지 Vol.19 No.2
In this study, we were carried out the classification of Korea's climate zone. $K{\ddot{o}}ppen$ climate classification and Warmth Index were used for classification of climate zone and we have predicted how the climate zone will be changed during the 21st century. Especially, $K{\ddot{o}}ppen$ climate classification is one of the most widely used method in the world. The climate data used monthly climate normal data (1981-2010) and future climate data (2051-2060 and 2091-2100) by considering RCP 8.5 scenarios, which was made from geospatial climate models at 1km grid cell estimated. In conclusion, the temperature will rise steadily and the climate zone will be simplified in the future as a result. 본 연구에서는 RCP 8.5 기후변화 시나라오를 바탕으로 온량지수와 쾨펜의 기후구분을 통한 우리나라의 기후지대 변화를 살펴 보았다. 그 결과, 온량지수에 의한 기후지대를 구분하였을 경우 21세기 후반으로 갈수록 기온이 증가하여 전국적으로 난온대의 기후특성이 나타날 것으로 예상되었으며, 쾨펜의 기후지대 구분에서는 기온의 꾸준한 증가와 강수량의 연중 빈도 차이에 의해 Cfa와 Cwa의 기후특성이 주로 나타날 것으로 예상된다.
MT-CLIM 프로그램을 이용한 일별 일사량 추정의 국내 적용성 검토
심교문 ( Kyo Moon Shim ),김용석 ( Yong Seok Kim ),이덕배 ( Deog Bae Lee ),강기경 ( Ki Keong Kang ),소규호 ( Kyo Ho So ) 한국농림기상학회 2012 한국농림기상학회지 Vol.14 No.4
Accuracy of daily solar radiation estimated from a Mountain Microclimate Simulation Model (MTCLIM) was assessed for seven observation sites with complex topography in Uiseong County. The coefficient of determination (R2) between the observed and the estimated daily solar radiation was 0.52 for 7 sites for the study period from 1 August to 30 September 2009. Overall, the MT-CLIM overestimated the solar radiation with root mean square error (RMSE) of 3.83MJ m-2 which is about 25% of the mean daily solar radiation (15.27MJ m-2) for the study period. Considering that the pyranometer`s tolerance is ±5% of standard sensor, the RMSE of MT-CLIM was too large to accept for a direct application for agricultural sector. The reliability of solar radiation estimated by MTCLIM must be improved by considering additional ways such as using a topography correction coefficient.
심교문 ( Kyo Moon Shim ),김용석 ( Yong Seok Kim ),김건엽 ( Gun Yeob Kim ),이덕배 ( Deog Bae Lee ),강기경 ( Ki Keong Kang ),소규호 ( Kyu Ho So ),이강효 ( Kang Hyo Lee ) 한국농림기상학회 2012 한국농림기상학회지 Vol.14 No.4
In this study, in order to provide an information for artificial cultivation of wild mushroom, the meteorological effects on wild mushroom appearance were examined using daily meteorological observations in Chiak National Park. The survey of wild mushroom appearance was carried out once a month from June to October. Under high temperature and humidity conditions in July and August, the appearance of wild mushroom was frequent. In contrast, lower number of wild mushroom appeared in October. Wild mushroom appearance was affected by solar radiation, relative humidity, precipitation, and soil water content whereas the impact of air and soil temperature was lower than that of other meteorological elements.
A1B 기후변화 시나리오가 국내 가을 쌀보리의 잠재수량에 미치는 영향 모사
심교문 ( Kyo Moon Shim ),민성현 ( Sung Hyun Min ),이덕배 ( Deog Bae Lee ),김건엽 ( Gun Yeob Kim ),정현철 ( Hyun Cheol Jeong ),이슬비 ( Seul Bi Lee ),강기경 ( Ki Keong Kang ) 한국농림기상학회 2011 한국농림기상학회지 Vol.13 No.4
The CERES-Barley crop simulation model was used to assess the impacts of climate change on the potential yield of winter naked barley in Korea. Fifty six sites over the southern part of the Korean Peninsula were selected to compare the climate change impacts in various climatic conditions. Based on the A1B climate change scenarios of Korea, the present climatological normal (1971-2000) and the three future ones (2011-2040, 2041-2070, and 2071-2100) were considered in this study. The three future normals were divided by three environmental conditions with changes in: (1) temperature only, (2) carbon dioxide concentration only, and (3) both temperature and carbon dioxide concentration. The agreement between the observed and simulated outcomes was reasonable with the coefficient of determination of grain yield to be 0.78. We concluded that the CERES-Barley model was suitable for predicting climate change impacts on the potential yield of winter naked barley. The effect of the increased temperature only with the climate change scenario was negative to the potential yield of winter naked barley, which ranges from -34 to -9% for the three future normals. However, the effect of the elevated carbon dioxide concentration only on the potential yield of winter naked barley was positive, ranging from 6 to 31% for the three future normals. For the elevated conditions of both temperature and carbon dioxide concentration, the potential yields increased by 8, 15, and 13% for the 2011-2040, 2041-2070, and 2071-2100 normals, respectively.