Krause et al. (2019) Earth's Future

Output is from three dynamic vegetation models (LPJ-GUESS, LPJ and CABLE-POP) driven by three combinations of climate change and land-use change scenarios (SSP1xRCP26, SSP3xRCP60, SSP5xRCP85). The output also includes simulations in which either land use or climate and CO2 were kept constant from 2014 on to isolate the effects of future land-use change and climate change. Output variables are total carbon pools, NPP, evapotranspiration, surface January and July albedo and total runoff for four different time periods (2015, 2050, 2070, 2090, 20-year averages). Spatial resolution is 0.5° (LPJ-GUESS and LPJ) or 1° (CABLE-POP).<br>本数据集的输出由三套动态植被模型（Dynamic Vegetation Models）生成，所用模型包括LPJ-GUESS、LPJ与CABLE-POP，驱动数据为三种气候变化与土地利用变化情景组合：SSP1xRCP26、SSP3xRCP60及SSP5xRCP85。数据集还包含部分对照模拟：这些模拟自2014年起保持土地利用、气候与CO₂浓度恒定，用于单独分离未来土地利用变化与气候变化的影响。数据集的输出变量涵盖总碳库、净初级生产力（Net Primary Productivity, NPP）、蒸散发、1月与7月地表反照率，以及四个时段的总径流量，分别为2015、2050、2070、2090年的20年平均值。空间分辨率方面，LPJ-GUESS与LPJ模型为0.5°，CABLE-POP模型为1°。