Kazutaka Murakami and Professor Kazuhito Ichii of Chiba University used satellite remote sensing techniques to make July 2018 the highest surface temperature of the last 7 years in many parts of Japan. In addition, it became clear that the temperature was abnormally high in East Asia and the world.
In recent years, the problems of climate change such as global warming have become more serious, and record high temperatures, heavy rains, and frequent typhoons have been reported.Even in Japan, it was reported that it was extremely hot every day in July 2018, and there are many points where the highest temperature in the history of observation was recorded.At meteorological stations such as AMeDAS, meteorological observations from all over Japan are recorded with high accuracy and continuously, and useful data are obtained. It's difficult.In addition, there are few observation points overseas.
Therefore, this time, we focused on satellite remote sensing data that can spatially estimate the temperature of the ground surface, and analyzed the abnormal value of the ground surface temperature in July 2018 with a resolution of 7 km.For the analysis, we used the surface temperature product by the MODIS sensor (which can observe the surface temperature once day and night) mounted on the earth observation satellite Aqua.At that boundary, in Japan, it was detected that July 1 had the highest surface temperature of all July in the last 1 years.Also in East Asia, abnormally high temperatures (2018 ° C or higher than normal) were observed in South Korea and North Korea, as in Japan.Globally, it was also shown that the surface temperature was higher than usual in various regions, mainly in Northern Europe, in addition to East Asia.
The GCOM-C satellite (Shikisai) launched in December 2017 will enable more detailed analysis with a spatial resolution of 12 m.In the future, it is planned to comprehensively confirm observation items by satellite remote sensing, such as how the land surface environment such as vegetation amount and vegetation distribution responded to this year's abnormal weather.
