http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
성현민,김지선,심성보,서정빈,권상훈,선민아,문혜진,이재희,임윤진,부경온,김영미,이조한,이지우,김준수,Charline Marzin,변영화 한국기상학회 2021 Asia-Pacific Journal of Atmospheric Sciences Vol.57 No.4
The National Institute of Meteorological Sciences-Korea Meteorological Administration (NIMS-KMA) has participated in the Coupled Model Inter-comparison Project (CMIP) and provided long-term simulations using the coupled climate model. The NIMS-KMAproduces new future projections using the ensemble mean of KMAAdvanced Community Earth system model (KACE) and UK Earth System Model version1 (UKESM1) simulations to provide scientific information of future climate changes. In this study, we analyze four experiments those conducted following the new shared socioeconomic pathway (SSP) based scenarios to examine projected climate change in the twenty-first century. Present day (PD) simulations show high performance skill in both climate mean and variability, which provide a reliability of the climate models and reduces the uncertainty in response to future forcing. In future projections, global temperature increases from 1.92 °C to 5.20 °C relative to the PD level (1995–2014). Global mean precipitation increases from 5.1% to 10.1% and sea ice extent decreases from 19% to 62% in the Arctic and from 18% to 54% in the Antarctic. In addition, climate changes are accelerating toward the late twenty-first century. Our CMIP6 simulations are released to the public through the Earth System Grid Federation (ESGF) international data sharing portal and are used to support the establishment of the national adaptation plan for climate change in South Korea. The National Institute of Meteorological Sciences-Korea Meteorological Administration (NIMS-KMA) has participated in the Coupled Model Inter-comparison Project (CMIP) and provided long-term simulations using the coupled climate model. The NIMS-KMA produces new future projections using the ensemble mean of KMA Advanced Community Earth system model (K-ACE) and UK Earth System Model version1 (UKESM1) simulations to provide scientific information of future climate changes. In this study, we analyze four experiments those conducted following the new shared socioeconomic pathway (SSP) based scenarios to examine projected climate change in the twenty-first century. Present day (PD) simulations show high performance skill in both climate mean and variability, which provide a reliability of the climate models and reduces the uncertainty in response to future forcing. In future projections, global temperature increases from 1.92 °C to 5.20 °C relative to the PD level (1995–2014). Global mean precipitation increases from 5.1% to 10.1% and sea ice extent decreases from 19% to 62% in the Arctic and from 18% to 54% in the Antarctic. In addition, climate changes are accelerating toward the late twenty-first century. Our CMIP6 simulations are released to the public through the Earth System Grid Federation (ESGF) international data sharing portal and are used to support the establishment of the national adaptation plan for climate change in South Korea.
기후변화 적응지원을 위한 미래전망 연구 - 국립기상과학원 연구사례를 중심으로 -
성현민,김진욱,이재희,김민해,심성보,정주용,변영화 한국기후변화학회 2023 한국기후변화학회지 Vol.14 No.6
Climate change on the Korea in the last 10 years (2011 ~ 2020) has been greater than that of the last 30 years (1991 ~ 2020). Against this background, our society continues to make efforts to reduce green house gas emissions (mitigation), and the importance of adapting to climate change has also been emphasized in recent years. The scientific information of climate change should be the basis for effective adaptation efforts. Considering this, the National Institute of Meteorological Sciences provides climate change scenarios and future climate information to support scientific evidence for establishing local government’s climate change adaptation policies. The projected changes of temperature and precipitation in the long-term future period relative to present-day period in CMIP6 scenarios are expected to increase by approximately 1.3 times more than in the CMIP5 scenarios. This means that the evidence indicating the recent acceleration of climate change may be said to be a preview of future unimaginable climate change risks. Additionally, the timing of 2.0 degree global warming level is projected to reach around 2030 ~ 2040 period using 21-year moving average temperature from CMIP6 scenarios. In the 2.0 degree global warming level, the increase amount of extreme climates will be larger than that of mean climatology, and the summer season is expected to be approximately 3 weeks longer compared to present-day climatology. The importance of adapting to climate change in our society is gradually being felt. The results of this study is expected to be used as scientific basis for responding to the climate crisis.
성현민,Myung-Jin Song,박재근,Kyoung-Cheol Kwon 한국물리학회 2014 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.64 No.7
We developed a conductive-bridging random-access memory cell with a sandwiched structure ofan Ag top electrode, an electrolyte (polyethylene oxide: PEO), and a Pt bottom electrode on a250-nm hole pattern. The cell demonstrated the bipolar switching behavior of resistive randomaccessmemory. The nonvolatile characteristics of the cell strongly depended on the wt% (PEOthickness): i.e., maximum memory characteristics, such as a retention-time of > 1 × 105 s with amemory margin of 1 × 104 and program/erase cycles of > 103 with a memory margin of 1.3 × 104,which are very close to thereof a commercial memory cell, were observed at a specific wt% of PEO(0.4 wt%)
MODIS 위성 자료를 이용한 동아시아 에어로졸-구름의 통계적 특성
정운선,성현민,이동인,차주완,장기호,이철규 한국환경과학회 2020 한국환경과학회지 Vol.29 No.11
The statistical characteristics of aerosol–cloud interactions over East Asia were investigated using Moderate Resolution Imaging Spectroradiometer satellite data. The long-term relationship between various aerosol and cloud parameters was estimated using correlation analysis, principle component analysis, and Aerosol Indirect Effect (AIE) estimation. In correlation analysis, Aerosol Optical Depth (AOD) was positively Correlated with Cloud Condensation Nuclei (CCN) and Cloud Fraction (CF), but negatively correlated with Cloud Top Temperature (CTT) and Cloud Top Pressure (CTP). Fine Mode Fraction (FMF) and CCN were positively correlated over the ocean because of sea spray. In principle component analysis, AOD and FMF were influenced by water vapor. In particular, AOD was positively influenced by CF, and negatively by CTT and CTP over the ocean. In AIE estimation, the AIE value in each cloud layer and type was mostly negative (Twomey effect) but sometimes positive (anti-Twomey effect). This is related to regional, environmental, seasonal, and meteorological effects. Rigorous and extensive studies on aerosol–cloud interactions over East Asia should be conducted via micro- and macro-scale investigations, to determine chemical characteristics using various meteorological instruments.