Subgrid data from earth system models are a powerful, yet underutilized, data resource for investigating the climatic impacts of land use and land cover change (LULCC). In this paper, we describe a global dataset on subgrid land surface climate variables produced by the Community Earth System Model in a fully coupled mode. The simulation was conducted at a 0.9° × 1.25° resolution under the Representative Concentration Pathway (RCP) 8.5 scenario from 2015 to 2100. Data are archived for eight subgrid tiles (urban, rural, tree, grass, shrub, bare soil, crop and lake) and include variables on the physical state, surface energy fluxes, runoff and atmospheric forcing conditions. Archival intervals are monthly, daily and hourly. Meta data on land surface parameters are also available. The data files are stored in NetCDF-4 (Network Common Data Form, version 4) format and the meta data follow the latest Coupled Model Intercomparison Project phase 6 standards. We anticipate that this dataset will become a useful resource for characterizing local climate changes due to LULCC. This dataset can be downloaded from the Harvard Dataverse (https://doi.org/10.7910/DVN/HUXAH6).

中文翻译：

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来自社区地球系统模型的亚网格地表气候全球数据集（2015-2100）

来自地球系统模型的子网格数据是一种强大但未得到充分利用的数据资源，用于调查土地利用和土地覆盖变化 (LULCC) 的气候影响。在本文中，我们描述了社区地球系统模型以完全耦合模式生成的次网格地表气候变量的全球数据集。模拟是在 2015 年至 2100 年的代表性浓度路径 (RCP) 8.5 情景下以 0.9° × 1.25° 分辨率进行的。数据存档为八个子网格瓦片（城市、农村、树木、草地、灌木、裸土、作物和湖），包括物理状态、地表能通量、径流和大气强迫条件的变量。存档间隔为每月、每天和每小时。还提供有关陆地表面参数的元数据。数据文件存储在 NetCDF-4 (Network Common Data Form, 版本 4) 格式和元数据遵循最新的 Coupled Model Intercomparison Project phase 6 标准。我们预计该数据集将成为描述 LULCC 导致的当地气候变化特征的有用资源。该数据集可从哈佛 Dataverse (https://doi.org/10.7910/DVN/HUXAH6) 下载。