Characteristics of wintertime daily and extreme minimum temperature over South Korea

2004 ◽  
Vol 24 (2) ◽  
pp. 145-160 ◽  
Author(s):  
Sang-Boom Ryoo ◽  
Won-Tae Kwon ◽  
Jong-Ghap Jhun
Keyword(s):  
South Korea ◽  
Minimum Temperature ◽  
Extreme Minimum Temperature

scholarly journals Temperature Change and Its Elevation Dependency in the Source Region of the Yangtze River and Yellow River

2014 ◽  
Vol 6 (2) ◽  
pp. 124 ◽  
Author(s):  
Chongyi E ◽  
Hongchang Hu ◽  
Hong Xie ◽  
Yongjuan Sun
Keyword(s):  
Temperature Change ◽  
Minimum Temperature ◽  
Yangtze River ◽  
Yellow River ◽  
Source Region ◽  
Maximum Temperature ◽  
Climatic Data ◽  
The Yangtze River ◽  
Extreme Minimum Temperature ◽  
The Mean

The study of temperature change and its elevation dependency in the source region of the Yangtze River and Yellow River have been insufficient owing to the lack of adequate observation stations and long-term climatic data. In this study five temperature indices of 32 stations from 1961 to 2007 in and near the source region are used. The 32 stations all have experienced significant warming; the warming amplitudes are higher than the mean warming amplitude of the Qinghai-Tibetan plateau. The warming amplitudes and the numbers of stations showing significant warming trends in mean minimum temperature and extreme minimum temperature are higher than that of the mean maximum temperature and extreme maximum temperature. The elevation dependency of climatic warming and the amount of significant warming stations are not obvious; the influence of human activity and urbanization may be higher. The warming amplitudes of 26 stations above 3000 m tend to be uniform, and there is no significant law at 6 stations below 3000 m. On the contrary, the ratio of stations showing significant warming in minimum temperature above 4000 m is far less than that of the stations below 4000 m.

scholarly journals Extreme Minimum Temperature Zones of British Columbia

2014 ◽  
Author(s):  
D W McKenney ◽  
J H Pedlar ◽  
K Lawrence ◽  
P Papadopol ◽  
K Campbell ◽  
...  
Keyword(s):  
British Columbia ◽  
Minimum Temperature ◽  
Extreme Minimum Temperature

scholarly journals Extreme Minimum Temperature Zones of parts of the Prairie provinces

2014 ◽  
Author(s):  
D W McKenney ◽  
J H Pedlar ◽  
K Lawrence ◽  
P Papadopol ◽  
K Campbell ◽  
...  
Keyword(s):  
Minimum Temperature ◽  
Extreme Minimum Temperature ◽  
Prairie Provinces

Invasion of tallow tree into southern US forests: influencing factors and implications for mitigation

2009 ◽  
Vol 39 (7) ◽  
pp. 1346-1356 ◽  
Author(s):  
Jianbang Gan ◽  
James H. Miller ◽  
Hsiaohsuan Wang ◽  
John W. Taylor
Keyword(s):  
Influencing Factors ◽  
Tree Species ◽  
Minimum Temperature ◽  
Mitigation Strategies ◽  
Triadica Sebifera ◽  
Climate Trend ◽  
Southern Us ◽  
Warming Climate ◽  
Tallow Tree ◽  
Extreme Minimum Temperature

We identify species–environment relationships to predict the occurrence of Chinese tallow ( Triadica sebifera (L.) Small) on forestlands in the southern US, where it has emerged as the most pervading, stand-replacing, alien tree species. Tallow invasions are more likely to be observed on low and flat lands, areas adjacent to water and roadways, sites recently harvested or disturbed, younger stands, and private forestlands. The winter extreme minimum temperature tends to restrain tallow northward migration. Increases in both range and severity of tallow invasions are predicted with a warming climate trend, and the situation could be worse if the warming is coupled with an increased frequency and intensity of disturbances. Monitoring and mitigation strategies are proposed to assist this region and other countries threatened by tallow invasions.

scholarly journals Estimation of Heat-Attributable Mortality Using the Cross-Validated Best Temperature Metric in Switzerland and South Korea

2021 ◽  
Vol 18 (12) ◽  
pp. 6413
Author(s):  
Jae Young Lee ◽  
Martin Röösli ◽  
Martina S. Ragettli
Keyword(s):  
South Korea ◽  
Minimum Temperature ◽  
Cross Validation ◽  
Specific Model ◽  
Apparent Temperature ◽  
Maximum Temperature ◽  
Attributable Mortality ◽  
Validation Method ◽  
Attributable Fractions ◽  
The Cross

This study presents a novel method for estimating the heat-attributable fractions (HAF) based on the cross-validated best temperature metric. We analyzed the association of eight temperature metrics (mean, maximum, minimum temperature, maximum temperature during daytime, minimum temperature during nighttime, and mean, maximum, and minimum apparent temperature) with mortality and performed the cross-validation method to select the best model in selected cities of Switzerland and South Korea from May to September of 1995–2015. It was observed that HAF estimated using different metrics varied by 2.69–4.09% in eight cities of Switzerland and by 0.61–0.90% in six cities of South Korea. Based on the cross-validation method, mean temperature was estimated to be the best metric, and it revealed that the HAF of Switzerland and South Korea were 3.29% and 0.72%, respectively. Furthermore, estimates of HAF were improved by selecting the best city-specific model for each city, that is, 3.34% for Switzerland and 0.78% for South Korea. To the best of our knowledge, this study is the first to observe the uncertainty of HAF estimation originated from the selection of temperature metric and to present the HAF estimation based on the cross-validation method.

scholarly journals Extreme Minimum Temperature Zones of Parts of Central and Western Canada

2014 ◽  
Author(s):  
D W McKenney ◽  
J H Pedlar ◽  
K Lawrence ◽  
P Papadopol ◽  
K Campbell ◽  
...  
Keyword(s):  
Minimum Temperature ◽  
Western Canada ◽  
Extreme Minimum Temperature

Study on Integrated Climatic Index for Low Temperature Injury of Loquat in Putian

2013 ◽  
Vol 726-731 ◽  
pp. 4436-4441
Author(s):  
Kai Yang ◽  
Bin Bin Chen ◽  
Hui Chen ◽  
Jing Lin ◽  
Jia Yi Wang ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Critical Temperature ◽  
Low Temperature ◽  
Correlation Analysis ◽  
Minimum Temperature ◽  
Principal Component ◽  
Climate Data ◽  
Climatic Index ◽  
Extreme Minimum Temperature ◽  
Inducing Factors

Based on the daily climate data in winter and relative meteorological yield of loquat for 2 meteorological stations in Putian from 1992 to 2009, this paper studied the disaster-inducing factors and integrated climatic index for low temperature injury of loquat. The results showed that the critical temperature for low temperature injury of loquat could be determined as 3.0°C. The disaster-inducing factors included extreme minimum temperature, the sum of daily numbers for less than or equal to 3.0°C, the sustained days of low temperature injury for less than or equal to 3.0°C, and harmful chilling accumulation for less than or equal to 3.0°C, and there were obvious correlations among these factors. According to the method of principal component analysis, an integrated climatic index was obtained. By the correlation analysis of integrated climatic index for low temperature injury and the relative meteorological yield of loquat in Putian, the value of integrated climatic index of low temperature injury was significantly negatively correlated with the yield of loquat, and could be used to analyze the degree of low temperature injury of loquat.

FRACTALITY OF MONTHLY EXTREME MINIMUM TEMPERATURE

Fractals ◽  
2003 ◽  
Vol 11 (02) ◽  
pp. 137-144 ◽  
Author(s):  
RICARDO DAVID VALDEZ-CEPEDA ◽  
DANIEL HERNÁNDEZ-RAMÍREZ ◽  
BLANCA MENDOZA ◽  
JOSÉ VALDÉS-GALICIA ◽  
DOLORES MARAVILLA
Keyword(s):  
Minimum Temperature ◽  
Missing Values ◽  
Fractal Dimensions ◽  
Data Set ◽  
Power Spectral ◽  
Extreme Minimum Temperature ◽  
Scale Range ◽  
Complete Series ◽  
Near Future

Interest in climate change has increased over the last 30 years due largely to global predictions associated with the greenhouse effect, which appear to lead to a substantial increase in planetary temperature. Implications of such results have led many scientists to examine climatic records from different regions of the world in order to understand temperature behavior. However, many researchers have noted that changes in temperature variability are also important in determining the future temperature distributions. In this context, we have analyzed a long-term record of monthly extreme minimum temperature registered at Guanajuato, Mexico. Data set was treated as a fractal profile to estimate the fractal dimension through variography (Dv) and power-spectral (Ds) approaches under two situations: (1) complete series, from January 1895 to December 1997 with 312 missing observations, and (2) partial series, from January, 1921 to April, 1963 with no missing values. In both cases, we obtained similar values for the two types of fractal dimensions meaning there is not a significant effect of missing values. The estimated fractal dimensions for the partial series (508 observations) are near 1.5 (Dv = 1.445 ± 0.06, Ds = 1.486 ± 0.155), which means monthly extreme minimum temperature is almost equally characterized by both short- and long-range variations. Evaluating through scaling arguments did not evidence multifractality in the scale range of two to 254 months. Then interpolation can make use of the fact that monthly extreme minimum temperature has a power-law spectrum. Interpolated data generated by this way may develop greater confidence in their capability to forecast near future climate.

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