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Based on the observation monthly climatic data collected from 2766 weather observation stations on global during the period from 1981 to 2010, and the climatic scenarios data of SSP1_2.6、SSP1_4.5 and SSP1_8.5 scenarios released by CMIP6, the mean annual biotemperature, average total annual precipitation and potential evapotranspiration ratio on spatial resolution of 0.1º× 0.1º 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 2020 to 2050 per decade. 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, 2020, 2021）. Finally, the scenario dataset of land cover under scenario SSP1_2.6、SSP1_4.5 and SSP1_8.5 were simulated by the SMLCS method from 2020 to 2050. Based on the observation monthly climatic data collected from 2766 weather observation stations on global during the period from 1981 to 2010, and the climatic scenarios data of SSP1_2.6、SSP1_4.5 and SSP1_8.5 scenarios released by CMIP6, the mean annual biotemperature, average total annual precipitation and potential evapotranspiration ratio on spatial resolution of 0.1º× 0.1º 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 2020 to 2050 per decade. 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, 2020, 2021）. Finally, the scenario dataset of land cover under scenario SSP1_2.6、SSP1_4.5 and SSP1_8.5 were simulated by the SMLCS method from 2020 to 2050.

Comparison of the water budget for the typical cropland and pear orchard ecosystems in the North China Plain Comparison of the water budget for the typical cropland and pear orchard ecosystems in the North China Plain

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. 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.