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作 者:Lijia Cheng Bo-Hui Tang Zhiwei He Zhitao Fu Menghua Li
机构地区:[1]Faculty of Land Resource Engineering,Kunming University of Science and Technology,Kunming,People’s Republic of China [2]State Key Laboratory of Resources and Environment Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing,People’s Republic of China
出 处:《International Journal of Digital Earth》2023年第1期337-354,共18页国际数字地球学报(英文)
基 金:supported in part by the Platform Construction Project of High Level Talent in KUST;n part by the National Natural Science Foundation of China[grant number 42230109 and 41961053].
摘 要:The downward shortwave radiation(DSR)is a key input parameter for land surface models and climate models.Based on the daily averaged Global Land Surface Satellite downward shortwave radiation(GLASS-DSR)dataset over the Yunnan-Kweichow Plateau(YKP)from 1984 to 2018,this paper analyzes variation trend and breakpoints of DSR.The results show that:annual averaged DSR decreases at a decreasing rate of-1.84 W·m^(-2)·decade^(-1) over the YKP from 1984 to 2018;the overall distribution of interannual averaged DSR shows higher in the mid-west,and gradually decreasing from west to northeast over the YKP;the estimated averaged DSR is larger in spring than in summer due to the influence of the monsoon;monthly averaged DSR reaches its maximum in May and its minimum in December;breakpoints are found in the seasonal and trend components of daily averaged DSR.Eleven driving factors are examined for their effects on DSR variation,including annual average temperature,precipitation,10 m wind speed,aerosol optical thickness(AOT),total cloud cover,elevation,slope,aspect,longitude,latitude,and climate zones.According to thefindings,AOT predominates in the spatio-temporal distribution of DSR over the YKP.This study will contribute to studies related to climate change and highland radiation.
关 键 词:Yunnan-Kweichow plateau downward shortwave radiation time-series analysis breakpoints detection attribution analysis
分 类 号:TL99[核科学技术—核技术及应用]
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