The purpose of this study is to characterize the synoptic climatic patterns of extreme humansensible temperature (HST) events in Jeju Island, Korea under a subtropical climate condition as well as to examine their teleconnections with the large-scale climate systems. According to the extreme case analysis of the recent 30 years (1988-2017) data sets, the maximum daily average HST in the coastal areas of Jeju Island can rise up to about 40°C in mid-summer and even up to about 48°C during mid-daytime. These extreme HST events occur when the expansion of subtropical Pacific high pressure toward East Asia as well as the poleward shift of the Changma front provides hot and humid conditions over Jeju Island surrounded by seas, particularly in La Niña years with a positive (+) Arctic Oscillation mode. In contrast, the intensified western high and eastern low dipole pressure pattern in mid-winter, which accompanies the downward shear of upper tropospheric cold air toward the southern region of the Korean Peninsula under a negative (-) Arctic Oscillation mode, provides favorable conditions for frequent low HST extreme events. These conditions can lower daily average HST as much as -10°C in the coastal region of Jeju Island, and lower nighttime HST by -25°C on the peak areas of Mt. Halla due to wind chill effects. These findings will be used as a base for establishing prediction and warming systems of extreme HST events on Jeju Island, which is needed to mitigate the damage to the lives of Jeju residents and tourists under climate change.
The purpose of this study is to identify the effectiveness of satellite images in detecting the areas of rice production in the Barisal of Bangladesh. We also investigated the effect of climate change on the crop production through comparative analysis of rice production area and production statistics with climate data at multi-temporal time scale. This analysis found that the classification of rice fields extracted through satellite image and made as the number of rice cultivation areas did not exceed 10 percent of the statistical data. Climate data analysis showed that the average temperature during the ripening stage has the greatest impact on Boro’s production. It would be more make sense if you can describe the results of how precipitation is also important for rice production in addition to temperature. Therefore, it is believed that this research could serve as a key basis for solving food security issues due to climate change.
The study aims to investigate the effect of air temperature on growth date(bud bursting, flowering, blooming) of Citrus Unshiu in Jeju and Seogwipo, and estimate future growth date using air temperature data and growth date of Citrus Unshiu from 1998 to 2015. The trend and relationship between growth date of Citrus Unshiu and air temperature in Jeju and Seogwipo are analysed. As a result, The trend of growth date of Citrus Unshiu is delayed during study period. The correlation between Citrus Unshiu growth date and air temperature is negative. It means that air temperature related to the growth date of Citrus Unshui is decreasing. Future growth date of Citrus Unshiu is estimated to be earlier by future climate change scenarios. Air temperature expect to rise, but it can appear the low air temperature to be able to hurt citrus tree.
The changes in extreme daily rainfall totals in Punjab Province, Pakistan, during the period (1981- 2014) are examined in this study. The analysis was focused on the extreme annual and monthly rainfall events, by processing the exceeding of the daily rainfall over various thresholds, which are indicators for the incidence of extreme rainfall events. To analyze the changes in extreme rainfall events and trends of the time series of the annual number of extreme rainfall days (%) the thresholds of 30mm and 50mm has been estimated. Evidence from the twelve stations considered shows that there is an increase in annual number of extreme rainfall days (%) in dataset. These changes of heavy and extreme rainfall events pronounce significant environmental consequences which cause considerable impact on society.
The safety of the future mankind becomes a world issue due to the climate change driven by global warming. It is inevitable to observe everywhere in daily life the impact of climate change. The level of emergency differs between long-term, mid-term, and short-term, which depends on situation. The impact of climate change in daily life is fairly diverse, and therefore multiple research units of different backgrounds often work together on the measuring and forecasting of the impacts. This paper aims to study the potentially useful methods to analyze and forecast the impact on the changes in transport activities of Canadian Inuit. This is part of the research on the climate change’s impact on the Northern Sea Route area. Either natural or man-made change of external environment forces human to adjust their daily life in order to maintain their utility level of life. Individual or individuals’ group react to the external impact, the way of which differ from others. This fact calls a simulation research on the whole set of input-intermediate process-output. Agents representing individuals or certain subpopulation are given a set of rules to react to stimulus and interact with other agents behave in the realm of simulation. This paper provides methodological discussions on how analyzing and forecasting future change in transport activities in response to climate change. The discussion goes around activity-based approaches that are recently popular in urban planning and transportation planning among available simulation approaches. This paper then discusses the implication and future research agenda.