文献类型: 外文期刊
作者: Mao, K. B. 1 ; Ma, Y. 1 ; Zuo, Z. Y. 1 ; Wang, F. 4 ; Jiao, Y. Q. 6 ; Shen, X. Y. 7 ; Liu, Q. 1 ;
作者机构: 1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Natl Hulunber Grassland Ecosyst Observat & Res St, Beijing, Peoples R China
2.Inst Remote Sensing & Digital Earth, Res Inst, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
3.Beijing Normal Univ, Beijing, Peoples R China
4.Hunan Univ Sci & Technol, Natl Local Joint Engn Lab Geospatial Informat Tec, Xiangtan, Peoples R China
5.Chinese Acad Agr Big Data & Nutr, Hong Kong, Hong Kong, Peoples R China
6.China Univ Petr, Coll Sci, Beijing, Peoples R China
7.Univ Oklahoma, Hydrometeorol &
关键词: climate change;MODIS;global
期刊名称:2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
ISSN: 2153-6996
年卷期: 2016 年
页码:
收录情况: SCI
摘要: Increasing extreme weather events has made people confused with which year is the hottest or the coldest in recent years. To answer this question, the region scale and time must be considered. In this study, we calculate global surface temperature by using four surface temperature products at day and night retrieved from MODIS data. The global mean surface temperature is about 14.56 degrees from 2001 to 2012, and the hottest and coldest surface temperatures of the global earth are in 2005 and 2008 in the recent twelve years. The hottest and coldest surface temperatures for the global land are in 2005 and 2001, and in 2010 and 2008 for Ocean. The hottest and coldest surface temperatures for Northern and Southern Hemisphere, Eastern and Western hemisphere, seven continents, and four Ocean are also obtained. The analysis indicates that the change is different in different region. We propose to build a spatial weatherclimate model based on gravitational-magmatic change with the solar and the galactic system as its centre to analyze the long-term temperature changes.
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