中国历年高温日数、高温强度和高温空间集聚程度数据集（1979-2017）

中国历年高温日数、高温强度和高温空间集聚程度数据集（1979-2017）是基于欧洲中期天气预报中心发布的ERA-Interim全球2 m气温数据产品，通过计算每年中国的高温日数、高温强度和高温空间集聚程度得到的。本研究定义某日最高气温超过35℃（温度阈值），则为高温日（HD）。年平均高温强度（HTI）为该年所有高温日的日最高气温超过温度阈值的平均值。年平均高温空间集聚程度（HTSA）的计算是运用反距离权重法确定各空间邻接位置的权重，然后统计各高温点临近的3&degx3&deg范围内的加权高温事件数的年平均值，加权事件数越多则高温空间集聚程度越大。数据集包括1979-2017年覆盖中国的以下数据：（1）历年高温日数；（2）历年平均高温强度；（3）历年高温空间集聚程度；（4）多年平均的高温日数、高温强度和高温空间集聚程度数据；（5）高温日数、高温强度和高温空间集聚程度的年际变化趋势数据。数据集存储为.tif格式，空间分辨率为0.75&deg，由5个文件夹372个数据文件组成，数据量为7.77 MB（压缩为1个文件，365 KB）。基于该数据集的研究成果发表在《地球信息科学学报》2019年第21卷第6期。

The dataset of annual high-temperature day count, high-temperature intensity and spatial agglomeration degree of high-temperature events in China (1979-2017) is developed based on the ERA-Interim global 2-meter air temperature product released by the European Centre for Medium-Range Weather Forecasts (ECMWF), by calculating the annual high-temperature day count, high-temperature intensity and spatial agglomeration degree of high-temperature events across China. This study defines a day as a high-temperature day (HD) when the daily maximum temperature exceeds 35°C (temperature threshold). The annual average high-temperature intensity (HTI) refers to the average value of the excess of daily maximum temperature over the threshold for all high-temperature days in a given year. The annual average spatial agglomeration degree of high-temperature events (HTSA) is calculated by first assigning weights to each spatial adjacent position via the Inverse Distance Weighting (IDW) method, then counting the annual average of weighted high-temperature event counts within the 3°×3° neighborhood surrounding each high-temperature point. A greater number of weighted events corresponds to a higher degree of high-temperature spatial agglomeration. This dataset covers China from 1979 to 2017 and includes the following data: (1) Annual number of high-temperature days; (2) Annual average high-temperature intensity; (3) Annual average spatial agglomeration degree of high-temperature events; (4) Multi-year average data of high-temperature days, high-temperature intensity and spatial agglomeration degree of high-temperature events; (5) Interannual variation trend data of high-temperature days, high-temperature intensity and spatial agglomeration degree of high-temperature events. The dataset is stored in .tif format with a spatial resolution of 0.75°, consisting of 5 folders and 372 data files, with an uncompressed total size of 7.77 MB (compressed to a single file of 365 KB). Research findings based on this dataset were published in *Journal of Geo-information Science*, Volume 21, Issue 6, 2019.

搜集汇总

背景与挑战

背景概述

该数据集是中国1979-2017年高温气候的栅格数据产品，基于ERA-Interim温度数据开发，包含高温日数、高温强度和高温空间集聚程度三个关键指标，用于分析高温趋势。数据以0.75°空间分辨率存储，覆盖全国范围，提供年度和多年度平均值及趋势分析结果，适用于气候研究和地理信息科学应用。