Temporal and spatial variation characteristics of surface temperature in Guizhou during 1961-2013
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Abstract:
Using the daily 0 cm soil surface temperature data of Guizhou during 1961 to 2013, adopting the methods of ArcGIS spatial analysis, linear trend, wavelet analysis, and Mann Kendall nonparametric test, we analyzed the spatial distribution, change trend, mutation characteristics, and variation period of the surface temperature in Guizhou. The results showed that the annual and seasonal spatial distribution of average surface temperature and average minimum surface temperature was roughly increasing from northwestern Guizhou to southeastern Guizhou along with the increase of longitude and the decrease of altitude and latitude. The annual, autumn, and winter spatial distribution of average maximum surface temperature was roughly increasing from the northeast to the southwest of Guizhou along with the decrease of latitude and longitude and the increase of altitude. The annual and seasonal changes of aver agesurface temperature and average minimum surface temperature all showed a warming trend, which was especially prominent for the annual and seasonal changes of average minimum surface temperature. The annual, spring , summer, and autumn changes of average maximum surface temperature all showed a warming trend, but the winter change showed a slight downward trend. The annual and seasonal mutations of average surface temperature, average maximum surface temperature, and average minimum surface temperature concentrated in the 1990s, and the mutations were very significant in spring and autumn. The annual and seasonal variation periods of average surface temperature, average maximum surface temperature, and average minimum surface temperature were primarily long periods. The annual average surface temperature and annual average minimum surface temperature were both negatively correlated with the altitude and positively correlated with the longitude, while the annual average maximum surface temperature was negatively correlated with latitude.
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