이 연구에서는 2006년 9월 17일의 태풍 산산과 2006년 12월 16일의 시베리아 고기압 확장에 의한 강풍 사례에 대하여 MM5와 WRF 중규모 수치 모형을 이용한 실험을 통해 강한 해상풍을 모의하기 위한 모형의 최적화가 조사되었다. 모형의 최적화는 모형의 최하층 고도, 물리 모수화, 모형 해상도에 대해 조사되었으며, 결과를 요약하면 다음과 같다. 1) 두 사례 모두 최하층 연직 고도를 해상풍 관측 고도인 10m가지 선형적으로 내리는 것보다 대기 하층의 안정도와 해수면 거칠기를 고려하여 로가리듬의 함수로 변환하는 것이 더 정확한 모의를 하였다. 2) 강한 해상풍 모의를 위한 최적의 모수화 방안을 찾기 위해, 여러 물리 모수화 방안을 조합하여 모형에 적용하였다. 3) 3-km의 고분해능의 모형 결과가 9-km 분해능의 모형 결과에 비해 강풍 지역과 저기압의 강도와 같은 저기압의 중규모 구조를 잘 나타내었다.

본 연구에서는 El Niño-Southern Oscillation(ENSO) 발달과 소멸의 영향에 따른 태풍 강도와 태풍 발생지역의 상관성을 살펴보았다. 1950년부터 2006년까지의 장기간 자료를 이용하였으며, 먼저 엘니뇨 발달해와 정상해를 정의하였다. 엘니뇨 발달해 동안에 태풍 강도와 태풍 발생지역이 높은 상관성을 나타내고 이는 누적 저기압 에너지와 태풍 에너지 강도가 증가한 결과이다. Niño 3.4 지역의 해수면 온도를 기준으로 한 경우 엘니뇨 발달해에는, category 4+5에 해당하는 태풍의 발생지역이 동쪽으로 치우쳐 나타난다. 태풍 발생 잠재 함수와 하층의 저기압성 회전성은 태풍급에 해당하는 강도로 발달할 수 있는 강한 열대성 저기압의 발생에 중요한 요소가 된다. 본 논문에서는 역학적 잠재력[DP, Gray(1977)]과 MJO의 EOF 첫 번째 모드와 두 번째 모드의 시계열에 해당하는 RMM1, RMM2 (Wheeler and Hendon, 2004)를 이용하여 태풍 발생의 잠재함수와 대기 하층의 저기압성 회전성을 측정하였다. ENSO가 발달하는 해와 소멸하는 해와 영향을 찾아보기 위하여 엘니뇨가 소멸이 급격히 일어나 라니냐로 전환되는 Type I과 정상해로 회복하는 Type II를 정의하였다. Type I의 엘니뇨 소멸기간 동안에는 DP값과 RMM1, RMM2의 발달이 현저하게 서쪽으로 치우쳐 나타나며 강한 태풍의 발달을 지체시킴을 알 수 있었다.

Heatwaves can affect human health and vegetation growth and bring about energy problems and socioeconomic damages, so the analysis and prediction of the heatwave is a crucial issue under a warming climate. This paper examines the production of STCI (Standard Temperature Condition Index) using ASOS (Automated Synoptic Observing System) in-situ observation data for the period of 1979-2020, and an STCI predictability assessment with an RF (Random Forest) model using ERA5 (ECMWF Reanalysis 5) meteorological variables. The accuracy was quite high with the MAE (Mean Absolute Error) of 0.365 and the CC (Correlation Coefficient) of 0.873, which corresponded to 7% to 10% difference for the range of STCI<1.5, and to 1% to 3% difference for the range of STCI>1.5, in terms of the probability density function. Also, we produced gridded maps for the summer STCI from 1979 to 2020 by utilizing the ERA5 raster data for the RF prediction model, which enables the spatial expansion of the ASOS point-based STCI to a continuous grid nationwide. The proposed method can be applied to forecasting of STCI by adopting future meteorological or climatic datasets.

Global warming due to the increase of greenhouse gases may significantly affect various aspects of the Earth’s environment and human life. In particular, the impacts of climate change on agriculture would be severe, leading to damages to crop yields. This paper examines the experimental prediction of rice yield in China using DNN (deep neural network) and climate model data for the period between 1979 and 2009. The DNN model built through the process of hyperparameter optimization can mitigate an overfitting problem and cope with outlier cases. Our model showed approximately 38.7% improved accuracy than the MLR (multiple linear regression) model, in terms of correlation coefficient with the yield statistics. We found that the diurnal temperature range and potential evapotranspiration were the critical factors for rice yield prediction. Our DNN model was also robust to extreme conditions such as drought in 2006 and 2007 in China, which showed its applicability to the future simulation of crop yields under climate change.

Intergovernmental Panel on Climate Change (IPCC) provides various prospects of future climate change under the Representative Concentration Pathways (RCP) scenarios using General Circulation Models (GCMs) of Coupled Model Intercomparison Project (CMIP). This paper describes a modified application of Ensemble Bayesian Model Averaging (EBMA) to produce daily mean temperature ensembles using 19 GCMs provided by CMIP. We proposed two types of approach: (1) monthly weighting scheme for a whole area (EBMA.v1) and (2) monthly weighting for each grid point (EBMA.v2), which can take into account the spatially heterogeneous pattern of GCM. For the training period of 1979- 2005 for East Asia, 9,855 sets of daily temperature ensembles (27 years × 365 days) were produced and compared to the ERA-Interim reanalysis data of European Centre for Medium-Range Weather Forecasts (ECMWF), which showed better validation statistics than the general mean and median ensembles. In particular, EBMA.v2 outperformed EBMA.v1 by diminishing the large errors of inland areas where the surface heterogeneity is larger than the ocean. The EBMA.v2 was able to handle the problem of spatial variability by employing monthly and spatially varying weighting scheme. We finally produced daily mean temperature ensembles for the period of 2006-2100 by using the EBMA.v2 under the RCP 6.0 scenario, which are going to be provided on the web.

본 연구에서는 한반도 주요 세 도시(서울, 대구, 부산)의 온도와 상대습도에 나타난 변화를 조사하였다. 기후 변화점 분석 결과, 세 지역 모두 거의 모든 경우에서 온도의 변화가 상대습도의 변화보다 더 선행하여 나타났으며 이로부터 온도의 변화가 상대습도의 변화를 야기시킬 수 있는 가능성이 있음을 알 수 있다. 또한 가장 뚜렷한 변화점이 나타나는 4월의 기후 변화에 초점을 맞추어, 다습-한랭 기간(1909~1962)과 건조-온난기간(1974~2008)의 기후 특징을 비교하였다. 세 도시에서 상대습도의 감소와 온도의 증가가 뚜렷하였으며,이러한 특징은 동아시아 영역 전반에 걸쳐 나타났다. 이원분산분석법을 바탕으로 상대습도 변화에 대한 온도와 수증기 효과를 평가하였다. 다습-한랭 기간에는 온도 효과보다 수증기 효과가 더 유의하게 나타났으며, 이는 상대습도의 변화에 대한 수증기 효과의 영향이 더 큼을 의미한다. 반면, 건조-온난 기간에는 수증기 효과뿐만 아니라 온도 효과도 유의하게 나타났다. 이러한 결과는 최근 상대습도의 변화에 온도가 중요한 역할을 할 수 있음을 의미한다. 온도와 수증기의 상호작용 효과는 두 기간 모두에서 유의하였다.

The present study intends to investigate the transient response of an atmosphere/ocean general circulation model to a gradual increase of atmospheric carbon dioxide. To detect the climatic change of the surface air temperature due to gradual increasing carbon dioxide for 100 years, two runs of GFDL CGCM for 1 % CO_2 run with increasing CO_2 and the control run with fixed CO_2 are compared. From results it is noted that the transient response of surface air temperature is more increased over the Northern Hemisphere than the Southern Hemisphere. However, in Northern Hemisphere the transient response of the surface air temperature due to the gradual increase of atmospheric carbon dioxide is slowly increased with latitudes and is clearly larger over continents than oceans. The annual global mean temperature is continuously increased with 0.03552 per one year with strong S/N ratio and distinguished from the natural variability. The time dependent response of the gradual increasing CO_2 has the strong seasonal variability with small change in summer and large change in winter, and the strong regionality in the Asian and the American continents. It has been suggested that the direct and the feedback processes in the climate systems should be investigated by the detailed sensitivity runs to get the meaningful estimate of the CO_2 forced variability.

Intraseasonal variability of the tropical convection over the Indian/western Pacific is studied using the Geostationary Meteorological Satellite high cloud amount. This study is directed to find the tropical-extratropical interaction in the frequency range of intraseasonal and interannual variabilities of the summer monsoon occured over the domain of 90E-171W and 49S-50N. Especially, in order to investigate the intraseasonal interaction of East Asia summer monsoon associated with the tropical convections in the high cloud amounts, the spatial and time structure of the intraseasonal oscillation for the movement and the evolution of the large-scale convections are studied. To describe the spatial and the time evolution, the extended empirical orthogonal function analysis is applied. The first mode may be considered to a normal structure, indicating that the strong convection band over 90E-120E is extended to eastward, but this mode was detected as a variable mode near Korea and Japan. The second, third and fourth modes were amplified with the intraseasonal variability during summer monsoon. It is found that the dominant intraseasonal mode of the tropical convection consists of the spatial changes over a broad period range centered around 40∼50days.

The aim of the present study is to investigate the interannual variabilities of the East Asia monsoon rainfall associated with the global sea surface temperature anomaly(SSTA). For this study, the summer rainfall(from June to August) over the twenty-eight period of 1961-1988 were analyzed with being divided by nine-subregions over East Asia including Korea, China and Japan. From the analysis of the principal modes explaining the interannual variation, the interannual variabilities of summer rainfalls in South Japan and Korea are larger than those of the other subregions of the East Asia. There is a strong negative correlation between the summer rainfalls of south China and Korea. In this study, the relationship between the summer monsoon of each subregion and SSTs of the tropical NINO regions, of western Pacific warm pool, and of the subtropical ocean were investigated. The longitudinal sections of the lagged cross correlations of the summer rainfall anomaly in (a) Korea and (b) south China, and the monthly SSTA in the equatorial (averaged from 6S to 6N) Pacific were analyzed. The negative maximum correlation pattern of Korea`s summer rainfall and SSTs over the eastern Pacific is transfered to positive maximum correlation over central Pacific region with a biennial periodicity. In South China, the significant positive correlations are found at -12 month lag over the eastern Pacific and maximum negative correlation at +6 month lag over the central Pacific with the quasi-biennial oscillation. But the correlation coefficient reverses completely to that in Korea. In order to investigate the most prevailing interannual variability of rainfall related to the favored SSTA region, the lagged cross correlations between East Asia rainfall and SSTs over the NINO regions(NINO 1+2(0-10S, 90W-80W), NINO 3(5N-5S, 150W-90W), NINO 4(5N-5S, 160E-150W) and the western Pacific warm pool (5N-5S, 120E-160E) were analyzed. Among the lagged cross-correlation cycles in NINO regions, the maximum correlations for the negative lagged months prevail in NINO 1+2 and NINO 3, and the cross correlations for the positive lagged months NINO 4. It is noteworthy that correlation between the western Pacific warm pool SSTA and the monsoon rainfall in Korea and South China have the maximum value at negative 4 month lag. The evolution of the correlation between the East Asia monsoon rainfall and SSTA is linked to the equatorial convective cluster and related to northward propagating situation, and raising the possibility that the East Asia monsoon precipitation may be more fundamentally related to the interaction of intraseasonal oscillations and the sub-regional characteristics including the surface boundary conditions and the behavior of climatological air mass.