Future of Cooling Programme, Oxford Martin School, University of Oxford, Oxford, OX1 3BD, UK.
Energy and Power Group, Department of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, UK.
Sci Data. 2024 Jun 4;11(1):578. doi: 10.1038/s41597-024-03400-2.
Large ensembles of global temperature are provided for three climate scenarios: historical (2006-16), 1.5 °C and 2.0 °C above pre-industrial levels. Each scenario has 700 members (70 simulations per year for ten years) of 6-hourly mean temperatures at a resolution of 0.833° ´ 0.556° (longitude ´ latitude) over the land surface. The data was generated using the climateprediction.net (CPDN) climate simulation environment, to run HadAM4 Atmosphere-only General Circulation Model (AGCM) from the UK Met Office Hadley Centre. Biases in simulated temperature were identified and corrected using quantile mapping with reference temperature data from ERA5. The data is stored within the UK Natural and Environmental Research Council Centre for Environmental Data Analysis repository as NetCDF V4 files.
历史情景（2006-2016 年）、比工业化前水平高 1.5°C 和 2.0°C。每个情景都有 700 个成员（每年 70 次模拟，持续十年），以 0.833° ´ 0.556°（经度 ´ 纬度）的分辨率在陆地上生成了每 6 小时平均温度的集合。该数据是使用气候预测网（CPDN）气候模拟环境生成的，运行英国气象局哈德莱中心的 HadAM4 大气仅有全球环流模型（AGCM）。使用来自 ERA5 的参考温度数据进行分位数映射，识别并校正了模拟温度的偏差。数据存储在英国自然与环境研究理事会环境数据分析中心存储库中，以 NetCDF V4 文件形式存储。
