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https://dx.doi.org/10.57760/sc...
Dataset . 2022
License: CC BY
Data sources: Datacite
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Scenario dataset of land cover in Eurasia (2010-2100)

Authors: Zemeng Fan; Tianxiang YUE; Ruyu BAI; Saibo LI; Chesheng ZHAN; LUO, Yong;

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

Abstract

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.

采用1981-2010年欧亚大陆2127个气象观测站的观测月气候数据,以及CMIP5发布的RCP2.6、RCP4.5和RCP8.5情景的气候情景数据。通过运行高精度面建模方法(HASM)(Yue, 2010, Yue et al., 2016),分别获得1981-2010年(T0)、2011-2040年(T1)、2041-2070年(T2)和2071-2100年(T3)四个时期的空间分辨率为0.125º×0.125º的平均生物温度数据、多年平均年降水和潜在蒸散比率数据。采用自主研发的土地覆被情景曲面建模(SMLCS)方法,以模拟欧亚大陆的土地覆盖场景(Fan et al., 2019))。最后,利用SMLCS方法对2010-2100年场景RCP2.6、RCP4.5和RCP8.5下的土地覆盖场景数据集进行了模拟。

Related Organizations
Keywords

Earth science, Surface modelling, Climate change, Eurasia, Scenarios of land cover

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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