• Journal of the Korean Geographical Society
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• v.35 no.4
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• pp.519-528
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• 2000

본 연구에서는 지난 20세기 동안 한반도 중부 지방의 여름철 7월과 8월의 일최고기온과 일최저기온의 지역적 패턴을 조사하였다. 조사결과 연구기간 동안 여름철 일최고기온의 평균 및 일정 임계치 이상의 고온 특이일의 빈도가 감소하는 경향을 나타냈다. 반면, 여름철 일최저기온의 평균은 지속적으로 상승하여 결과적으로 이 지역의 여름철 일교차의 평균이 급격히 감소하는 경향을 보였다. 일최고기온의 감소 추세는 1950년대 이래로 진행되어온 조림사업으로 인한 삼림 임목 축적량의 증가와 관련성이 있는 것으로 추정되었다. 이 밖에도 본 연구에서는 현재의 도시화 지구온난화가 지속된다는 가정 하에 기온극값 발생빈도와 장기적인 패턴변화를 예측하는 모델을 제시하였다.

• Journal of the Korean association of regional geographers
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• v.17 no.2
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• pp.167-180
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• 2011

This paper investigates the changes of diurnal temperature range (DTR) by season and region in South Korea using daily maximum temperature and daily minimum temperature from 1954 to 2009. It also attempts to find what causes these changes. The daily minimum temperature distinctively increased during the latter half of the research period (1988~2009) than the first half of the year (1954~1987) leading decreases in DTR, while the rise in daily maximum temperature was not distinct during the research period. The DTR shows slightly increasing trend in spring. but decreasing trend in fall. The DTR is decreasing in urban region while it is increasing in rural area. The degree of the DTR decrease is bigger in large urban region than in medium-small urban region. The DTR in urban region is affected by the amount of clouds in spring and tile duration of sunshine in fall. The DTR in rural area is affected by the amount of clouds in spring and the number of days with precipitation in fall.

• Horticultural Science & Technology
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• v.29 no.6
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• pp.549-554
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• 2011

The effect of full bloom date and growing season weather on harvesting date of 'Niitaka' pear (Pyrus pyrifolia) in Naju province and the model of multiple linear regression for predicting the fruit growing days was studied. Earlier year in full bloom date, the harvesting date tended earlier but fruit growing days tended longer. Mean and coefficient of variation of fruit growing degree days (GDD) accumulated daily mean and maximum temperature at the base of $0^{\circ}C$ from full bloom date to harvesting date was 3,565, 2.9% and 4,463, 2.5%, respectively. Fruit growing days was not correlated with the fruit GDD accumulated daily mean and maximum temperature at the base of $0^{\circ}C$ in each month but highly correlated with GDD accumulated daily meteorological factors at days after full bloom date. Especially, it was highly negatively correlated with GDD accumulated daily mean and maximum temperature at the base of $0^{\circ}C$ from $1^{st}$ day after full bloom to $60^{th}$ day. The determination coefficient ($r^2$) of multiple linear regression model by full bloom date, GDD accumulated daily mean and maximum temperature from $1^{st}$ day after full bloom to $60^{th}$ day for predicting fruit growing days was 0.7212. As a result, the fruit growing days of 'Niitaka' pear in Naju province can predict with 72% accuracy by the model of multiple linear regression.

• Journal of the Korean Geographical Society
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• v.39 no.5 s.104
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• pp.711-721
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• 2004

The aim of this study is to clarify whether frequency and/or severity of extreme climate events have changed significantly in Korea during recent years. Using the best available daily data, spatial and temporal aspects of ten climate change indicators are investigated on an annual and seasonal basis for the periods of 1954-1999. A systematic increase in the $90^{th}$ percentile of daily minimum temperatures at most of the analyzed areas has been observed. This increase is accompanied by a similar reduction in the number of frost days and a significant lengthening of the thermal growing season. Although the intra-annual extreme temperature range is based on only two observations, it provides a very robust and significant measure of declining extreme temperature variability. The five precipitation-related indicators show no distinct changing patterns for spatial and temporal distribution except for the regional series of maximum consecutive dry days. Interestingly, the regional series of consecutive dry days have increased significantly while the daily rainfall intensity index and the fraction of annual total precipitation due to events exceeding the $95^{th}$ percentile for 1901-1990 normals have insignificantly increased.

• Korean Journal of Agricultural and Forest Meteorology
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• v.4 no.1
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• pp.58-63
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• 2002

Since the rapid urbanization period coincides with the start of global warming, climate data might be contaminated with urbanization effect in Korea. Monthly normals of daily minimum, maximum, and mean temperature of 14 stations were calculated for 1951-1980 and 1971-2000 periods. Differences in two temperature normals were regressed to the natural logarithms of population increase at corresponding 14 cities from 1966 to 1990. The regression models were used to remove potential effects of urbanization from the apparent warming, and to determine the net contribution of global warming to the temperature change in Korea during the recent half century. According to the model calculation, there was little evidence of global warming in the warm season (May through November), while urbanization effect was common in all season except April. Up to 0.5$^{\circ}C$ warming of nighttime temperature was found to be induced by urbanization. Cool season temperature was increased by up to 0.6$^{\circ}C$ due mainly to the global warming of daytime temperature.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2006.11a
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• pp.439-442
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• 2006

기후변화가 벚꽃과 같은 생물계절현상에 미치는 영향을 조사하고자, 벚꽃의 개화일과 기온과의 상관관계를 비교하여, 각 월별로 특히, 1월, 2월, 3월의 일평균기온, 일최저기온, 일최고기온의 월별 평균 기온과 벚꽃개화일의 비교에서 어느 것이 더 상관관계가 높은지를 보았다. 또한, 1950년대 이후로 크고 작은 엘니뇨의 발생은 13회 정도로 약 $2{\sim}5$년을 주기로 발생하였다. 엘니뇨현상은 남방진동 ENSO 등의 기상현상과 함께 발생한다. 엘니뇨가 발생한 해의 한반도는 겨울철 온도는 높아지고, 겨울철 강수량은 높아지는 경향이 있다. 이러한 엘니뇨현상이 1, 2, 3월의 기온에 어떤 영향을 준다면, 벚꽃의 개화일도 변화할 것이다. 위의 자료를 모두 비교해보고 이들 상호간의 영향관계를 알아낸다면, 앞으로 기온을 통한 벚꽃개화일의 예측이나, 반대로 벚꽃개화일을 통한 기온과 엘니뇨현상 등의 기후변화를 예측해 낼 수 있을 것으로 판단된다.

• Journal of the Korean Geographical Society
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• v.42 no.3 s.120
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• pp.332-343
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• 2007

This study aims to examine the distribution of heat waves and to understand its cause for 33 years$(1973\sim2005)$ from 60 weather stations in Korea. Heat wave is defined as a period of 3 or more days with a daily maximum temperature exceeds the 95th percentile. In the inland of Chungcheong region, the Chungcheong western costal region, the inland of Jeolla region, the inland of Gyeongsang region and the southern region of Jeju island, heat wave days appeared more than 160 days. In the middle region of eastern costal and the northern region of Jeju island, heat wave days were less than 110 days. In regions that were heavily influenced by southwesterly winds during the occurrence of heat waves, such as the inland of Chungcheong region, the Chungcheong western costal region, the inland of Jeolla region and the inland of Gyeongsang region, heat waves continued for the longer term.

• Communications for Statistical Applications and Methods
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• v.18 no.1
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• pp.1-12
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• 2011

We analyzed the observed temperature data for 50 years on 5 representative points in Korea to verify global warming and the increase in climate variability. We found that there was some level of global warming but we could not disregard the effects of urbanization. In addition, we could not find any information for the increase in climate variability.

• Journal of the Korean Wood Science and Technology
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• v.38 no.1
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• pp.66-74
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• 2010

This study was carried out to investigate the optimum condition for sap exudation of Acer mono Max. tree in a site of Mt. Baekun, Kwangyang city, Korea. Amount of sap exudation, air temperature, relative air humidity and tree diameter at breast height (DBH) were monitored for the period of January 5 through March 28, 2008, and correlation analysis of several factors affecting on sap exudation was carried out. As the diameter of Acer mono at breast height increased, the amount of sap was linearly proportional. Sap exudation initiated at February 18, and occurred intensively in the period of February 28 through March 10, resulting in 84% of total sap amount by volume. During sap exudation, the minimum temperature was averaged at $-2.4{\pm}1.5^{\circ}C$ and the maximum at $6.0{\pm}1.8^{\circ}C$, while there was no sap exudation whenever temperature was below or above $0^{\circ}C$ all the day long. The maximum temperature, range of temperature and the maximum, minimum and mean humidities in air were significant factors affecting on amount of sap. The maximum air temperature had the highest correlation coefficient with 0.768 (P < 0.01) and was also considered as the principal factor by partial-correlation analysis. These results showed that sap exudation required daily air-temperature fluctuation from below to above $0^{\circ}C$, and the amount of sap was strongly dependent on the highest daily-temperature and DBH of tree.

• Environmental and Resource Economics Review
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• v.16 no.4
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• pp.901-922
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• 2007

To see how the electricity demand for air-conditioning responds to weather condition and what kind of weather condition works better in forecasting maximum daily electricity demand, four different regression models, which are linear, exponential, power and S-curve, are adopted. The regression outcome turns out that the electricity demand for air-conditioning is inclined to rely on the exponential model. Another major discovery of this study is that the electricity demand for air-conditioning responds more sensitively to the weather condition year after year along with the higher non-air-conditioning electricity demand. In addition, it has also been found that the discomfort index explains the electricity demand for air-conditioning better than the highest temperature.