18°N以北中国制冷与采暖度日数数据集（1981-2020）

制冷与采暖度日数可反映气候因素对建筑制冷与采暖能耗的影响，也可以表征制冷期炎热程度和采暖期寒冷程度。制冷度日数（CoolingDegreeDays，CDDs）是一定时间范围内日平均气温高于某一基准温度的累计度数。采暖度日数（HeatingDegreeDays，HDDs）为一定时间范围内日平均气温低于某一基准温度的累计度数。根据行业标准《夏热冬冷地区居住建筑节能设计标准JGJ134-2001》，本项研究设定制冷的基准温度为26℃，采暖的基准温度为18℃。在此基础上，采用ERA5-Land再分析气象数据集（0.1°x0.1°空间分辨率）气温数据，在GoogleEarthEngine平台上分别计算了1981-2020年逐年尺度的18°N以北中国制冷与采暖度日数数据。数据集包括1981-2020年的以下数据：（1）制冷度日数数据；（2）采暖度日数数据。数据集的时间分辨率为年，空间分辨率为0.1°，存储为.tif格式，由80个数据文件组成，数据量为75MB（压缩为1个文件17.7MB）。

Cooling and Heating Degree Days (CDDs and HDDs) can reflect the impact of climatic factors on building cooling and heating energy consumption, and also characterize the heat intensity in cooling seasons and cold severity in heating seasons. Cooling Degree Days (CDDs) refer to the cumulative degree days when the daily mean air temperature exceeds a specified baseline temperature over a given period. Heating Degree Days (HDDs) refer to the cumulative degree days when the daily mean air temperature falls below a specified baseline temperature over a given period. According to the industry standard *Design Standard for Energy Efficiency of Residential Buildings in Hot Summer and Cold Winter Zones JGJ134-2001*, this study set the baseline temperature for cooling as 26℃ and that for heating as 18℃. On this basis, using air temperature data from the ERA5-Land reanalysis meteorological dataset with a spatial resolution of 0.1°×0.1°, this study respectively calculated the annual-scale cooling and heating degree days data for areas north of 18°N in China from 1981 to 2020 on the Google Earth Engine platform. The dataset includes the following data from 1981 to 2020: (1) Cooling Degree Days data; (2) Heating Degree Days data. The dataset has an annual temporal resolution and a 0.1° spatial resolution, stored in .tif format, consisting of 80 data files with a total size of 75 MB (compressed to 17.7 MB in a single file).

搜集汇总

背景与挑战

背景概述

该数据集提供了1981年至2020年间中国18°N以北地区的制冷度日数（CDD）和采暖度日数（HDD）数据，用于评估气候对建筑冷却和加热能耗的影响。数据基于ERA5 Land再分析温度数据计算，空间分辨率为0.1°，时间分辨率为年，存储为.tif格式，包含80个文件，并通过与地面气象站数据对比验证了高可靠性。