中国地表温度时空变化及驱动因素分析

Surface Temperature Analysis of Temporal and Spatial Changes and Driving Factors in China

近年来随着全球极端气候事件不断加剧,我国极端天气和灾害事件频繁发生,伴随着地表温度(LST)变化异常对气候环境稳定和农业生产构成了巨大威胁。地表温度是衡量地球环境的重要参数,对于区域的物质能量循环、生态系统平衡以及人类的生产生活都具有重要影响。由于热红外遥感受云雨天气影响导致部分区域像元信息缺失和精度不高,该文通过对重建的中国2002—2018年月尺度遥感地表温度数据集进行了评价,分析表明该数据集可以有效改善MODIS LST数据的不足,进一步提高MODIS LST数据的利用率。在此基础上,从整体、局部和单个像元等多个空间尺度分析了我国地表温度在不同时间维度下的时空变化特征,特别对17年间地表温度异常变化的区域进行了重点关注和研究。最后,结合地表、大气、海洋以及社会经济活动等多种数据资料,深入探究了2002—2018年间我国地表温度时空变化特别是年际异常变化的驱动因素。

In recent years,with the continuous intensification of global climate change,extreme weather and disaster events have been occurring frequently in China,and the subsequent abnormal changes in land surface temperature(LST)have posed a huge threat to the stability of the climate environment and agricultural production.The surface temperature is an important reference index for measuring the earth’s environment,and it has an important impact on the regional climate change and energy cycle,the balance of the ecosystem,and the production and life of human beings.In this study,owing to the lack of pixel information and low accuracy in some areas of MODIS land surface temperature data due to cloud and rain weather,a higher-quality monthly-scale remote sensing land surface temperature dataset of China from 2002 to 2018 is reconstructed by constructing a data restoration model.The reconstructed LST data has an accuracy of about 1.5 K and covers more complete pixel information.Studies have proved that this method can effectively improve the lack of MODIS LST data and further improve the utilization of MODIS LST data.On this basis,the characteristics of the temporal and spatial changes of China’s surface temperature in different time dimensions are analyzed from multiple spatial scales such as the whole,local and single pixel,and special attention and research are carried out on areas with abnormal changes in surface temperature during 17 years.Finally,combined with a variety of data such as the surface,atmosphere,ocean,and social and economic activities,we deeply explored the driving factors of the temporal and spatial changes of my country’s surface temperature from 2002 to 2018,especially the inter-annual abnormal changes.