参考文献:
     [1] Arnella, N. W., Lowe, J. A., Challinor, A. J., et al. Global and regional impacts of climate change at different levels of global temperature increase [J]. Climatic Change, 2019, 155(3): 377-391.
     [2] 潘小多. 基于区域气候模式未来气候变化研究综述[J]. 高原气象, 2018, 37(5): 1440-1448.
     [3] Ren, G., Chan, J. C. L., Kubota, H., et al. Historical and recent change in extreme climate over East Asia[J]. Climatic Change, 2021, 168(3): 1-19.
     [4] Zhang, J., Liu, B., Ren, S., et al. A 4 km daily gridded meteorological dataset for China from 2000 to 2020[J]. Scientific Data, 2024, 11(1): 1230.
     [5] 唐国利, 丁一汇, 王绍武等. 中国近百年温度曲线的对比分析[J]. 气候变化研究进展, 2009, 5(2): 71-78.
     [6] 司鹏, 郝立生, 罗传军等. 河北保定气象站长序列气温资料缺测记录插补和非均一性订正[J]. 气候变化研究进展, 2017, 13(1): 41-51.
     [7] 李庆祥. 我国气候资料均一性研究现状与展望[J]. 气象科技进展, 2016, 6(3): 67-74.
     [8] 申燕玲. 青海省长序列高分辨率气象要素栅格数据集构建与评估[J]. 气象科技进展, 2023, 13(4): 29-33.
     [9] 王海军, 涂诗玉, 陈正洪. 日气温数据缺测的插补方法试验与误差分析[J]. 气象, 2008, 34(7): 83-91.
     [10] 王雅萍. 甘肃省新旧气象站址观测资料对比及均一性分析[J]. 高原气象, 2023, 42(2): 506-514.
     [11] Li, Z., Yan, Z., Cao, L., et al. Further-adjusted long-term temperature series in China based on MASH [J]. Advances in Atmospheric Sciences, 2018, 35(8): 909-917.
     [12] 余予, 李俊, 任芝花等. 标准序列法在日平均气温缺测数据插补中的应用[J]. 气象, 2012, 38(9): 1135-1139.
     [13] 司鹏, 解以扬. 天津太阳总辐射资料的均一性分析[J]. 气候与环境研究, 2015, 20(3): 269-276.
     [14] Wang, X. L., Chen, H., Wu, Y., et al. New techniques for the detection and adjustment of shifts in daily precipitation data series [J]. Journal of Applied Meteorology and Climatology, 2010, 49(12): 2416-2436.