Global Climate Model Outputs for Assessing Hydrological and Biogeophysical Impacts of Reforestation under SSP1-2.6 (1850–2200)

This dataset contains global climate model outputs generated using the CanESM5.1 Earth system model to investigate the hydrological and biogeophysical impacts of reforestation under different land-cover scenarios. The dataset spans a historical simulation period (1850–2014) and future projections (2015–2200) under the SSP1-2.6 emissions scenario. This enables long-term analysis of land-use-driven changes in climate and hydrology. The simulations were designed to isolate the effects of land-cover change by holding atmospheric carbon dioxide concentrations constant across scenarios, ensuring that differences in climate variables arise from biogeophysical processes rather than radiative forcing. The dataset includes four main components corresponding to different simulation scenarios: a historical baseline, a future baseline scenario with constant land cover, a sustainable reforestation scenario, and a reversed reforestation scenario. Each scenario is represented by five ensemble members, generated through perturbations in ocean initial conditions to capture internal climate variability . We provide the data in NetCDF format and include key hydrological and energy balance variables such as near-surface air temperature, precipitation, evapotranspiration, soil moisture, runoff, cloud fraction, and radiative fluxes.

本数据集包含基于CanESM5.1地球系统模式（CanESM5.1 Earth system model）生成的全球气候模式输出结果，用于探究不同土地覆盖情景下再造林对水文及生物地球物理过程的影响。本数据集涵盖SSP1-2.6排放情景下的历史模拟时段（1850–2014年）与未来预估时段（2015–2200年），可为开展土地利用变化驱动的气候与水文长期演变分析提供支撑。本次模拟通过在所有情景中维持大气二氧化碳浓度恒定，旨在剥离土地覆盖变化的影响，确保气候变量的差异仅源于生物地球物理过程而非辐射强迫。本数据集包含四类对应不同模拟情景的核心组分：历史基准情景、土地覆盖恒定的未来基准情景、可持续再造林情景以及反向再造林情景。每个情景均设置5个集合成员，通过扰动海洋初始条件生成以捕捉气候系统内部变率。本数据集以NetCDF格式存储，包含近地表气温、降水、蒸散发、土壤湿度、径流、云量以及辐射通量等关键水文与能量平衡变量。