SPATIO-TEMPORAL VARIATION OF GLOBAL LAND SURFACE TEMPERATURE IN RECENT 40 YEARS
Land surface temperature(LST)is one of the key parameters in the study of global climate change.Climate assimilation datasets have the advantages of large scale,continuous and strong spatio-temporal representation,which are very suitable for exploring the long-term variation of global LST.Based on the monthly ERA5 LST data from 1981 to 2020,this paper used MATLAB programming and GIS spatial analysis function to study the temporal and spatial variation of global LST at the inter-annual and seasonal scales.The results were showed as follows.The global average surface temperature in the past 40 years was close to 14.92℃,and the coldest and warmest surface temperature occurred in 1985 and 2020,respectively.The global surface temperature distribution had a strong spatial difference,showing a distribution pattern from the equator to the poles,which was roughly parallel to the latitude,and the surface temperature in the northern hemisphere was slightly higher than that in the southern hemisphere.From the perspective of time variation trend,the LST in most regions of the world showed an increase rate of 0.02℃/a,and the growth rate in the Northern hemisphere was higher than that in the Southern hemisphere,and the growth rate in Europe,Asia and North America was higher than that in other continents.On a regional scale,however,global warming was not absolute,with cooling trends in central North America,northern South America,the northern Atlantic,the Indian Peninsula,the central and northeastern Pacific,western Australia,and much of and along the coast of Antarctica.In summary,LST in most parts of the world shows a slow growth trend in recent 40 years,and the growth rate is greater in the Northern hemisphere than in the southern hemisphere.
NETL
NSTL
万方数据
维普
