Cooling and heating degree‐days (CDD/HDD) are important metrics used in energy studies as a proxy for determining demand and consumption patterns of residential/commercial buildings and work spaces. Driven by the requirements of energy impact modellers, policymakers and building design experts; a new historical high‐spatial resolution, global gridded dataset of degree‐days constructed using various base (threshold) temperatures (T_b) is presented in this study. Derived using sub‐daily temperature from a quality‐controlled reanalysis data product (Global Land Data Assimilation System—GLDAS), the dataset called ‘DegDays_0p25_1970_2018’ includes monthly and annual (i) CDD; (ii) HDD; and (iii) CDD computed using wet‐bulb temperature (CDD_wb) at 0.25° × 0.25° gridded resolution, covering 49 years over the period 1970–2018. The T_b used for assembling DegDays_0p25_1970_2018 include 18, 18.3, 22, 23, 24, 25°C for CDD and CDD_wb; and 10, 15, 15.5, 16, 17 and 18°C for HDD, respectively. The data of individual indices are made publicly available in the commonly used scientific Network Common Data Form 4 (NetCDF4) and Georeferenced Tagged Image File (GeoTIFF) formats. DegDays_0p25_1970_2018 fills gaps in existing energy indicators’ datasets by being the only high‐resolution historical global gridded time series based on multiple threshold temperatures, thus offering applications in wide‐ranging climate zones and thermal comfort environments. The richness of DegDays_0p25_1970_2018 lies in its flexibility by allowing users to aggregate the degree‐days not only at varying spatial scales (such as administrative levels, national boundaries, economic organizations e.g. OECD; with or without population weights), but also at varying temporal scales (such as seasons), thereby offering climatologists with a potential to examine global teleconnection patterns more discretely.

中文翻译：

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全球历史网格度日数：CDD和HDD的高分辨率数据库

制冷和供热日数（CDD / HDD）是能源研究中的重要指标，可作为确定住宅/商业建筑和工作空间的需求和消费方式的代用指标。受能源影响建模人员，政策制定者和建筑设计专家的要求驱动；在这项研究中，提出了一个新的历史高空间分辨率，使用各种基础（阈值）温度（T _b）构建的度日的全球网格数据集。利用质量控制的再分析数据产品（全球土地数据同化系统，GLDAS）的次日温度得出的数据集称为“ DegDays _0p25_1970_2018”，其中包括每月和每年（i）CDD；（ii）硬盘；（iii）使用湿球温度计算的CDD（CDD _wb）的分辨率为0.25°×0.25°，涵盖了1970-2018年的49年。第t _b用于组装DegDays _0p25_1970_2018包括18，18.3，22，23，24，25℃下进行CDD和CDD _WB ; HDD分别为10、15、15.5、16、17和18°C。各个索引的数据以常用的科学网络通用数据表4（NetCDF4）和地理参考标记图像文件（GeoTIFF）格式公开提供。DegDays _0p25_1970_2018是唯一基于多个阈值温度的高分辨率历史全球网格化时间序列，从而填补了现有能源指标数据集中的空白，从而在广泛的气候区和热舒适环境中提供了应用。DegDays的丰富性_0p25_1970_2018的灵活性在于，它允许用户不仅在不同的空间尺度（例如行政级别，国界，经济组织（例如OECD）；有或没有人口权重），而且在不同的时间尺度（例如季节），从而为气候学家提供了更离散地研究全球遥相关型的潜力。