中国区域极端气温与月平均气温指数数据集(1961-2012)
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全球气候变化加剧的背景下,科学监测和评估气候变化的动态变化至关重要。本数据集基于全国756个气象站点的逐日气温数据,提取了月均气温和年均气温两个温度均值,以及逐年的冷持续指数(CSDI)、热持续指数(WSDI)、冷昼日数(TN10P)和暖夜日数(TX90P)四个极端气温指数。差值数据的空间分辨率为5 km,时间范围为1961年—2012年。值得注意的是,本数据中的年均气温和月均气温,均进行了滑动平均(5年)的预处理,可以直接用于长时间序列的变化趋势分析。本数据集可为长时间尺度下全国及区域气候变化和极端气候变化的研究提供数据基础。
Against the backdrop of intensifying global climate change, scientific monitoring and assessment of the dynamic evolutions of climate change are of paramount importance. This dataset is developed based on daily air temperature data collected from 756 national meteorological stations, from which two temperature averages (monthly mean air temperature and annual mean air temperature) and four annual extreme temperature indices: Cold Spell Duration Index (CSDI), Warm Spell Duration Index (WSDI), Cold Days (TN10P), and Warm Nights (TX90P) are extracted. The spatial resolution of the gridded difference data is 5 km, with the temporal coverage spanning from 1961 to 2012. Notably, both the annual mean air temperature and monthly mean air temperature in this dataset have undergone 5-year moving average preprocessing, and can be directly applied to trend analysis of long time series. This dataset can provide a reliable data foundation for studies on national and regional climate change and extreme climate change at long temporal scales.




