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Dust Emission Estimated with an Assimilated Dust Transport Model Using Lidar Network Data and Vegetation Growth in the Gobi Desert in Mongolia

机译:利用激光雷达网络数据和植被在蒙古戈壁沙漠中的尘埃迁移模型估算粉尘排放量

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References(12) Cited-By(8) Supplementary materials(4) Dust emission estimated with a 4D-Var data assimilation system using ground-based lidar network data was compared with vegetation growth data based on visual observations in the Gobi desert in Mongolia in the spring of 2007. The dust emission flux estimated with the data assimilation system was less than that estimated without data assimilation in the dust event of May 21-30 and was the opposite in the event of March 25-April 3. The threshold surface friction velocity estimated from the results of the data assimilation was less than 0.3 m s-1 in the dust event of March 25-April 3 and was ∼0.36 m s-1 in the event of May 21-30. The difference between the two events was qualitatively explained by the vegetation growth data. The accumulated precipitation during the period was ∼2 mm. The results show that vegetation growth with slight precipitation in the Gobi desert may significantly reduce dust emission.
机译:参考文献(12)被引用的(8)补充材料(4)使用基于地面激光雷达网络数据的4D-Var数据同化系统估算的粉尘排放量与基于蒙古戈壁沙漠的目测观测的植被生长数据进行了比较2007年春季。在5月21日至30日的扬尘事件中,使用数据同化系统估算的粉尘排放通量小于未进行数据同化的估算,与3月25日至4月3日的情况相反。根据数据同化结果估计的速度在3月25日至4月3日的沙尘事件中小于0.3 m s-1,在5月21日至30日的事件中约为0.36 m s-1。植被生长数据定性地解释了这两个事件之间的差异。在此期间累积的降水量约为2毫米。结果表明,戈壁沙漠中植被的生长和少量降水可以显着减少粉尘排放。

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