Scenario dataset of land cover in Eurasia (2010-2100)

Based on the observation monthly climatic data collected from 2127 weather observation stations in Eurasia during the period from 1981 to 2010, and the climatic scenarios data of RCP2.6, RCP4.5 and RCP8.5 scenarios released by CMIP5, the mean annual biotemperature, average total annual precipitation and potential evapotranspiration ratio on spatial resolution of 0.125º× 0.125º were respectively obtained by operating a high accuracy and speed method of surfacing modeling (HASM) (Yue, 2010, Yue et al., 2016) during all the four periods from 1981 to 2010(T0), 2011 to 2040(T1), 2041 to 2070(T2), and 2071 to 2100(T3). The method for surface modelling of land cover scenarios (SMLCS) has been developed to simulate the scenarios of land cover in Eurasia (Fan et al., 2019). Finally, the scenario dataset of land cover under scenario RCP2.6, RCP4.5 and RCP8.5 were simulated by the SMLCS method from 2010 to 2100.

基于1981-2010年期间欧亚大陆2127个气象观测站收集的月气候观测数据，以及第五次耦合模式比较计划（CMIP5）发布的典型浓度路径（Representative Concentration Pathways, RCP）2.6、4.5及8.5情景下的气候情景数据，通过应用高精度快速曲面建模方法（HASM）（Yue, 2010; Yue等, 2016），分别得到了1981-2010年（T0）、2011-2040年（T1）、2041-2070年（T2）及2071-2100年（T3）四个时期内空间分辨率为0.125°×0.125°的年平均生物温度、年平均总降水量及潜在蒸散比。土地覆盖情景曲面建模方法（SMLCS）已被开发用于模拟欧亚大陆的土地覆盖情景（Fan等, 2019）。最终，利用SMLCS方法模拟得到了2010-2100年期间RCP2.6、4.5及8.5情景下的土地覆盖情景数据集。