• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2010년도 춘계 학술논문 발표대회 1부
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• pp.95-97
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• 2010

This study revealed unusual weather phenomena by comparing and analyzing monthly average temperature and amount of snowfall for the past 10 years, and, based on the weather phenomena, analyzed damage cases of concrete structures in winter. As a result, the temperature for the recent one year became greatly low compared with the monthly average for the past 10 years, and the snowfall increased by 4-5 times compared with the past, so that the frost damage of concrete structures also greatly occurred. Accordingly, in case of concrete construction, because there may occur various variables owing to abnormal weather conditions, it is required that thorough quality control should be performed even from the stage of construction plan, execution and maintenance.

• 설비공학논문집
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• 제14권11호
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• pp.897-906
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• 2002

Standard temperature and absolute humidity weather correlations of Seoul for dynamic energy simulation have been developed regressing the measured data compiled by the Korea Meteorological Adminstration during a 10-year period from 1991 to 2000. The mathematical equations can generate the daily and yearly variations of outdoor weather data with consistency unlike the measured data which may show abnormal behavior, Considering that each hour of the day follows a certain yearly pattern, the correlations are developed for each hour. The derived 24 simple mathematical equations can be used for estimating outdoor temperature and humidity conditions for any arbitrary time of the year.

• International Journal of Air-Conditioning and Refrigeration
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• 제11권4호
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• pp.199-208
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• 2003

Standard temperature and absolute humidity weather data correlations of Seoul for dynamic energy simulation have been developed regressing the measured data compiled by the Korea Meteorological Adminstration during a l0-year period from 1991 to 2000. The mathematical equations can generate consistent daily and yearly variations of outdoor weather data unlike the measured data which may show abnormal behavior. Considering that each hour of the day follows a certain yearly pattern, 24 correlations are developed for each hour of the day. The derived simple mathematical equations can be used for estimating outdoor temperature and humidity conditions for any arbitrary time of the year.

• 대기
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• 제31권5호
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• pp.539-551
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• 2021

In this paper, the weather records in 'Nanjung Ilgi' were investigated and the weather characteristics of the southern coast of Korea (SC_Korea) was discussed. The Nanjung Ilgi is a personal diary written by admiral Yi Sun-sin from January 1592 to November 1598 during the 7-year war caused by the Japanese invasion. He is a respected great leader in the history of world naval warfare, winning all 23 battles against the Japanese. Of the 1593 days of diaries currently preserved, only 42 days have no weather records. Weather was recorded in detail, including sky conditions, precipitation, wind characteristics and others. Weather records were extracted from the diary, converted to the solar calendar, and compared with the meteorological data of Yeosu. The average annual precipitation day is about 90 days, which is similar to the current 95~100 days. As in the current climate, precipitation frequently occurs for about 30 days in summer, but less than 15 days in other seasons, and the rainy season starts from June 14 to 21 and ends from July 6 to 17. It seems that the abnormal cold and heat phenomena, which deviate significantly from the seasonal average climate, occurred on 6 and 21 days, respectively, over 7 years. This means that the weather records of Nanjung Ilgi can be used as valuable data on the climate of SC_Korea in the late 16th century. The fact that he recorded the weather even in such extreme battle conditions shows that he clearly recognized the importance of weather in warfare.

• Journal of Animal Science and Technology
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• 제63권1호
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• pp.77-90
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• 2021

This study aimed to assess the impact of abnormal climate events on the production of Italian ryegrass (IRG), such as autumn low-temperature, severe winter cold and spring droughts in the central inland, southern inland and southern coastal regions. Seasonal climatic variables, including temperature, precipitation, wind speed, relative humidity, and sunshine duration, were used to set the abnormal climate events using principal component analysis, and the abnormal climate events were distinguished from normal using Euclidean-distance cluster analysis. Furthermore, to estimate the impact caused by abnormal climate events, the dry matter yield (DMY) of IRG between abnormal and normal climate events was compared using a t-test with 5% significance level. As a result, the impact to the DMY of IRG by abnormal climate events in the central inland of Korea was significantly large in order of severe winter cold, spring drought, and autumn low-temperature. In the southern inland regions, severe winter cold was also the most serious abnormal event. These results indicate that the severe cold is critical to IRG in inland regions. Meanwhile, in the southern coastal regions, where severe cold weather is rare, the spring drought was the most serious abnormal climate event. In particular, since 2005, the frequency of spring droughts has tended to increase. In consideration of the trend and frequency of spring drought events, it is likely that drought becomes a NEW NORMAL during spring in Korea. This study was carried out to assess the impact of seasonal abnormal climate events on the DMY of IRG, and it can be helpful to make a guideline for its vulnerability.

• 한국초지조사료학회지
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• 제43권3호
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• pp.190-198
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• 2023

This study was conducted to calculate the damage of Italian ryegrass (IRG) by abnormal climate using machine learning and present the damage through the map. The IRG data collected 1,384. The climate data was collected from the Korea Meteorological Administration Meteorological data open portal.The machine learning model called xDeepFM was used to detect IRG damage. The damage was calculated using climate data from the Automated Synoptic Observing System (95 sites) by machine learning. The calculation of damage was the difference between the Dry matter yield (DMY)_normal and DMY_abnormal. The normal climate was set as the 40-year of climate data according to the year of IRG data (1986~2020). The level of abnormal climate was set as a multiple of the standard deviation applying the World Meteorological Organization (WMO) standard. The DMY_normal was ranged from 5,678 to 15,188 kg/ha. The damage of IRG differed according to region and level of abnormal climate with abnormal temperature, precipitation, and wind speed from -1,380 to 1,176, -3 to 2,465, and -830 to 962 kg/ha, respectively. The maximum damage was 1,176 kg/ha when the abnormal temperature was -2 level (+1.04℃), 2,465 kg/ha when the abnormal precipitation was all level and 962 kg/ha when the abnormal wind speed was -2 level (+1.60 ㎧). The damage calculated through the WMO method was presented as an map using QGIS. There was some blank area because there was no climate data. In order to calculate the damage of blank area, it would be possible to use the automatic weather system (AWS), which provides data from more sites than the automated synoptic observing system (ASOS).

• 대한전자공학회논문지TC
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• 제41권8호
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• pp.131-137
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• 2004

본 논문에서는 레이더 빔의 이상 전파를 유발시키는 기상 조건을 규명한다. 과대 굴절이나 덕트를 발생시키는 기상 조건의 분석을 위하여 2000년부터 3년간 관측된 한반도의 서해와 남해의 기상 데이터를 이용한다. 고도의 증가에 따른 대기 굴절지수를 계산하고, 굴절 지수가 매우 낮은 고도에서의 기온과 습도의 변화를 고찰한다. 비정상적인 전파에 의한 레이더 에코는 대기 굴절 지수가 -150/km 인 고도에서 나타났으며, 그 고도에서는 급격한 습도의 감소와 함께 기온 역전 현상이 수반되었다.

• 한국해안해양공학회지
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• 제12권1호
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• pp.11-18
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• 2000

1997년 11월 25일 겨울철에 남해안에서 이례적으로 남쪽으로부터 전파되는 높은 파고가 관측되었다. 4m 정도의 이러한 이상 파고는 시간차를 두고 마라도, 부산 그리고 울릉도 순서로 각각에 설치한 파고계에 관측되었으며 특히 서귀포항 공사 중에 발생하여 큰 피해를 입혔다. 겨울철에 발생하는 이상 남파는 저기압의 이상 발달 및 이동으로 인한 것으로 추측되며 이를 살펴보기 위하여 일기도 및 수치모델에 의한 파랑장의 분포 등을 조사하여 그 발생 가능성에 대하여 연구하였다. 앞으로도 겨울철에 발생할 수 있는 이러한 이상 남파에 대한 주의를 요한다.

• Journal of Animal Science and Technology
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• 제65권4호
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• pp.792-803
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• 2023

This study aimed to assess the impact of weather events on the sorghum-sudangrass hybrid (Sorghum bicolor L.) cultivar production trend in the central inland region of Korea during the monsoon season, using time series analysis. The sorghum-sudangrass production data collected between 1988 and 2013 were compiled along with the production year's weather data. The growing degree days (GDD), accumulated rainfall, and sunshine duration were used to assess their impacts on forage production (kg/ha) trend. Conversely, GDD and accumulated rainfall had positive and negative effects on the trend of forage production, respectively. Meanwhile, weather events such as heavy rainfall and typhoon were also collected based on weather warnings as weather events in the Korean monsoon season. The impact of weather events did not affect forage production, even with the increasing frequency and intensity of heavy rainfall. Therefore, the trend of forage production for the sorghum-sudangrass hybrid was forecasted to slightly increase until 2045. The predicted forage production in 2045 will be 14,926 ± 6,657 kg/ha. It is likely that the damage by heavy rainfall and typhoons can be reduced through more frequent harvest against short-term single damage and a deeper extension of the root system against soil erosion and lodging. Therefore, in an environment that is rapidly changing due to climate change and extreme/abnormal weather, the cultivation of the sorghum-sudangrass hybrid would be advantageous in securing stable and robust forage production. Through this study, we propose the cultivation of sorghum-sudangrass hybrid as one of the alternative summer forage options to achieve stable forage production during the dynamically changing monsoon, in spite of rather lower nutrient value than that of maize (Zea mays L.).

• 한국농림기상학회지
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• 제20권4호
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• pp.313-320
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• 2018

2018년 봄, 갑작스러운 이상저온으로 인해, 전북, 경기 남부지역 등을 중심으로 개화된 과수 작목의 꽃이 얼어 죽는 일이 발생하였다. 2000년대 들어서면서 전 세계적으로 빈번하게 발생하고 있는 이상기후 현상으로 인해, 사회 여러 분야에 경제적인 피해와 악영향이 증가 하고 있다. 최근의 기후변화는 지구온난화와 더불어, 지역 기후의 정상 범위로부터 벗어나는 기상이변의 발생빈도 또한 증가할 것으로 예상된다. 기후변화가 농작물 생산에 미치는 영향을 파악하기 위해서는 이러한 이상기상 현상을 정확하게 파악하고 이에 따른 농작물의 영향을 분석할 필요가 있다. 본 연구에서는 배, 복숭아, 사과 작물이 실제 재배되고 있는 국내 주산 지역에 대하여 기후변화 시나리오를 이용하여, 미래 개화일의 변화를 각각 예측하고, 개화 후 온도 분포를 정량화함으로써, 미래의 저온 발생 추세를 전망하였다. 그 결과 온난화로 인해 개화기는 현재 재배중인 지역을 대상으로 모든 과종에 대하여 현재 평년을 기준으로, 미래 평년(2071-2100)에는 약 20일 정도 앞당겨 질 것으로 예상되었으며, 개화 후 저온의 분포는 과종, 지역 별로 일정 부분 차이가 있음을 확인할 수 있었다. 본 연구는 일부 과수 작목 및 품종에 한해 진행된 연구결과를 제시한 것으로, 차후 다양한 품종 및 작목으로 연구를 확대한다면, 미래 농업부문 대책 마련에 기여할 수 있을 것으로 기대된다.