We investigated the changes in the physicochemical properties of wheat grains during ripening stage to determine the effect of the rise in average temperature on that of wheat grains. The treated average temperatures were 18.3°C(control), 19.9°C(1.6°C increase), 21.5°C(3.2°C increase) in artificial climate room from heading time to harvest. Results showed that the ripening period from heading to maturity tended to be shorter during higher temperature treatment condition. The 1,000-grain weight, grain width, number of florets per spike, and number of grains per spike decreased as the ripening period was shortened. Gelatinization properties were affected by high temperature due to the reduction of starch and amylose contents. As the grain filling period was shortened by high temperature treatments, the crude protein content increased. As the grain filling period was shortened by 6 days, the starch and amylose contents decreased by 10.8% and 5.4%, respectively. However, the crude protein content increased by 1.7% in such a condition. Starch content showed positive correlations between amylose and breakdown. Meanwhile, it showed negative correlations between electric conductivity of leaching water from seeds, crude protein content, peak viscosity, trough viscosity, final viscosity, and setback.

A power spectral analysis is made seasonally for the data of daily mean temperature and pressure at Seoul(37°34'N, 126°58'E), Chupungnyong(36°13'N, 128°00'E), Kwangju(35°08'N, 126°55'E) from March 1961 to February 1986. The time sequences of the power spectra for the daily mean pressure show that power spectral density is generally high at the period of 20-30days and 10 days in winter, 15-20 days and 8.6 days in spring, summer and autumn. For the daily mean temperature, the power spectral density is generally lower than that of pressure and changes largely following the seasons, high in winter and low in summer. The time sequences of the' power spectra are much the same pattern as that of pressure in spring and autumn, but in winter show high power spectral density at the period of 5.5-7.5 days, much the same period as '3 cold days and 4 warm days' which is the popular weather lore on the winter temperature fluctuations in Korea. Judging from the phase differences between observation stations of temperature and pressure changes, which is less than 20 degrees, the phase changes of temperature occurs in sequence of Seoul, Chupungnyong, Kwangju and in case of pressure much the same as in the temperature at the period of above 15 days, but below the period of about 15 days in the opposite sequence. The correlations between the interannual changes of seasonal mean of weather elements and the power spectral density at each period are investigated to show that the positive correlation is between the power spectral density at the period of above 20 days and temperature in summer, that at below 4.5 days and precipitation in spring, that at below 6.7 days and temperature in winter.

In this study, daily precipitation data and daily average temperature data of meteorological observatories in Daegu, Busan, Daejeon, Seoul, Mokpo, and Gwangju cities inland and offshore were analyzed by using moving average method. Were compared. Overall, summarizing changes in precipitation and temperature over the 24 seasons, precipitation and temperature in all six stations increased compared to the past 1960s. In the case of precipitation, precipitation increased at the end of July and early August, whereas precipitation in April, September and early October decreased. In the case of temperature, especially in February, the temperature increased, and in Mokpo, the temperature from August to December showed a general decline. Changes in precipitation and temperature due to seasons in the 24 seasons affect agriculture and our everyday life, and further research is needed to determine how these changes will affect agricultural water supply, crop growth and daily life. The results of this study can be useful.

This study examined the regime shifts in the temperature difference between Daegu and Jeju for the month of August using a Markov regime switching model. Using the long-term time series of averaged monthly temperature in August for 1923- 2015, we found the two regimes in the temperature difference with the regime shift taking place in 1952. The first regime, which spans the period from 1923 to 1951, is identified as Daegu, on average, being 0.2°C hotter than Jeju. The second regime, which starts in 1952 and persists until 2015, is characterized as the average temperature of Jeju being 0.4°C higher than that of Daegu. The results are consistent with a regime shift in the temperature of Jeju itself from a low temperature regime to a high temperature regime.

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.

In this paper, for selected station of 8 clusters in East Asia (Park, 2017) more (less) warming periods than the wintertime mean warming of intra-seasonal fluctuation curves were taken and their means were computed. Long term trends and synoptic features of the mean temperature changes were examined. In most clusters, around the third of January there were less warming periods (LWP) than the mean wintertime warming. On the contrary, in February and the first and second of January there were more warming periods (MWP) than the winter mean or LWPs having a warming trend with statistical signicance. Time series of the daily Siberian High indices showed they had been weakening in February and being stagnant around late January. In most stations, the mean temperatures of MWP or LWP had large negative correlation coecients with the Siberian high intensity. is result explains the occurrences of MWPs in most clusters in February and LWPs in late January. In cluster B there were LWPs in early February due to the influence of the Aleutian Low which were strengthening in that periods. Cluster E showed different features without LWPs in late January. The cluster is considered to be affected by its plateau environment of West Yúnnán and the Tibet Plateau which prevent cold air of the lower atmosphere in Northern Asia flowing southward, and by the regional atmospheric circulation of 500hPa surface centered in this region.

In this study, the intra-seasonal fluctuation (ISF) of wintertime temperature change in East Asia was classified by a cluster analysis of complete linkage. A ISF of temperature change was defined as a difference of synthesized harmonics (1 to 36 harmonic) of daily temperature averaged for 30 years (1951~1980, 1981~2010). Eight clusters were gained from the ISF curves of 96 stations in East Asia. Regions of the cluster C, G and A1 seem to be affected by the Siberian High (SH) center, whereas the cluster A1, A2, D, B and F by the SH main pathways. Regions of the cluster E are apart from the SH main pathways and appear to be in the area of influence of other factors. Wintertime temperatures in Northwest China (clusters C, G) and Northeast China (cluster A1) were increased very largely. In most clusters, around late January there were less warming periods than the winter mean of the mean ISF of the clusters, before and after this time there were more warming periods than the winter mean.

This paper evaluates the applicability of a simple kriging with local means(SKLM) for highresolution spatial mapping of monthly mean temperature and rainfall in South Korea by using AWS observations in 2013 and elevation data. For an evaluation purpose, an inverse distance weighting(IDW) which has been widely applied in GIS and cokriging are also applied. From explanatory data analysis prior to spatial interpolation, negative correlations between elevation and temperature and positive correlation between elevation and rainfall were observed. Bias and root mean square errors are computed to compare prediction performance quantitatively. From the quantitative evaluation, SKLM showed the best prediction performance in all months. IDW generated abrupt changes in spatial patterns, whereas cokriging and SKLM ref lected not only the topographic effects but also the smoothing effects. In particular, local characteristics were better mapped by SKLM than by cokriging. Despite the potential of SKLM, more extensive comparative studies for data sets observed during the much longer time-period are required, since annual, seasonal, and local variations of temperature and rainfall are very severe in South Korea.

The purpose of this study is to characterize long-term (1973~2012) changes in intra-seasonal temperature and extreme low temperature events in winter observed at 61 weather stations in the Republic of Korea and their associations with changes in atmospheric circulation patterns around East Asia. Maps of long-term linear trends clearly show that both temperature means and extreme events in Korea have asymmetrically changed between early winter and late winter. In early winter, changes with statistical significance are less observable, while in late winter reductions in low extreme temperature events as well as increases in temperatures, particularly after mid-1980s, are obviously observed across the study region. Comparisons of tropospheric synoptic climatic fields before and after the mid-1980s demonstrate that in early winter of recent decades, active meridional circulation from the Arctic appeared in western Eurasia and Bering sea, while in late winter, zonal circulation around East Asia associated with positive Arctic Oscillation-like patterns prevailed. These results indicate that asymmetric changes between early and late winter temperatures in Korea are associated with intra-seasonally inconsistent atmospheric circulation patterns around East Asia.

Stable production of green manure crop is one of the critical factor for successful implementation of environmental-friendly agriculture in South Korea. Most green manure crops including hairy vetch cultivated in South Korea must be passed cold winter season. This study was conducted to establishment of cultivation zones on green manure crops under paddy field in South Korea using on minimum temperature and drainage class. In order to build the spatial distribution map, hairy vetch, triticale, barley, rye, and clover as green manure crop were selected and mean of daily minimum temperature and drainage class in paddy field were considered as limiting factor for stable growth of green manure crop. And cultivation zone on green manure crops was divided into two categories; ‘Availability area’ and ‘Safety area’. Low limit temperature on green manure crops in this study was the following. Temperature on ‘Availability area’ was –10℃, –8℃, –6℃, and –20℃ for hairy vetch (including triticale), barley, clover, and rye respectively. And temperature on ‘Safety area’ was lower –2℃ compared to that of ‘Availability area’ exception rye which was the same degree. Rye was expected to safely cultivated the almost whole paddy field (99.71%) of South Korea. ‘Safety area’ among the whole paddy field for hairy vetch, barley, and clover were 86.58, 53.06, and 15.76% respectively. The spatial distribution map of green manure crops reestablished in this study could be used the policy and agricultural management for environmental-friendly agriculture using green manure crops in South Korea.

본 연구는 검정콩의 등숙기간중 기온에 따른 isoflavone 함량 변화를 구명하고자 파종기를 5월 15일, 5월30일, 6월 15일 등 3시기 파종하여 개화기후 30일부터 5일 간격으로 성숙기까지 시료를 채취하여 분석한 결과는 다음과 같다. Isoflavone 검출은 일품검정콩과 청자콩은 개화기후 30일 이전부터 흑청콩은 개화후 35일 이전에 생성되었다. 시험품종 모두 파종이 늦어질수록 isoflavone 함량은 높아 6월 15일 파종에서 가장 높았다. 성숙기 의 isoflavone 함량에 기여하는 Aglycone isoflavone은 파종기에 관계없이 Genistein이 43.6～53.4% 로 가장 높았 다. Aglycone isoflavone의 함량변화는 glycitein은 분석기간중 큰 변화는 없었으나, isoflavone의 왕성하기 축적 이 이루어졌던 시기는 일품검정콩과 청자콩은 개화기후 40～65일, 흑청콩은 45～70일이었는데, 시험품종 모 두 파종이 늦어질수록 빨라졌다. Diazein과 genistein 함량 변화시기는 일품검정콩은 개화기후 50～55일, 청자 콩은 개화기후 45～55일, 흑청콩은 개화기후 60～65일이었는데, 이 시기 이전에는 Diadzein의 축적이 왕성하 였으나, 이후에는 genistein 축적이 왕성하였다. 평균기온과 아이스플라본 함량과의 관계식은 일품검정콩 y=2E+12X-8.529(R2=0.6502), 청자콩 y=1E+0.6x-10-6.297(R2=0.5134)이었고, 흑청콩은 유의성이 인정되지 않았다. 일 교차와 isoflavone 함량과의 관계는 시험품종 모두 유의성이 인정되지 않았다. 이 연구결과를 종합해 보면, 성숙기동안 상대적으로 높은 온도로 경과하면 Diadzein, 낮은 온도로 경과하면 genistein함량이 높은 콩을 생산할 수 있을 것으로 추측된다. 그리고 isoflavone 함량이 높은 콩을 생산하기 위해 서는 isoflavone 축적이 왕성하게 이루어지는 시기인 개화기후 40일 이후에는 평균기온이 낮은 지역에서 재배하 면 유리할 것으로 고찰되었다.

벼의 생산비 절감을 위한 성력재배의 측면에서 전국적으로 확대 실시 보급되고 있는 건답 직파재배 안전성을 기후적으로 검토하고자 출아 조한의 파종기 결정에 대한 유효기준온도인 일평균기온 10℃ 출현초일과 80% 출현시기를 지역별로 분석한 결과, 가. 연차간('73~'92, 20년간) 변이는 일수로서는 약 20~30일, 표준편차(SD)로는 약 5~7일의 차이가 있었고, '88년 이후는 평균 출현초일보다 빨라져 영농면에서 큰 관심이 되고 있음. 나. 지역별 분포(기상청 관측의 56개 지점 분석)는 북부(대관령, 5월 1일)와 남부(부산, 3월 30일)간에는 약 30일 이상의 출현시기에 차이가 있어 우리나라의 기후자원량 분석의 필요성을 느낄 수 있음. 다. 일평균기온 10℃ 평균 출현초일은 80% 출현 시기보다 약 10일 정도 빠른 경향이며 라. 19개의 수도재배농업기후지대별 평균 출현초일과 80% 출현시기의 유사성을 중심으로 다시 단순화시켜 구분하면 19개 지대는 7개의 유형으로 구분할 수 있었음.