首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Detection of New Dust Sources in Central/East Asia and Their Impact on Simulations of a Severe Sand and Dust Storm
【24h】

Detection of New Dust Sources in Central/East Asia and Their Impact on Simulations of a Severe Sand and Dust Storm

机译:检测中亚/东亚新型尘埃源及其对严重沙尘暴模拟的影响

获取原文
获取原文并翻译 | 示例
           

摘要

Information regarding dust concentrations and size distributions is very important for determining air quality and aerosol-radiation-cloud interactions. Only by using a correct erosion database can the sectional dust emission scheme resolve detailed size distributions and determine where and how dust will be emitted. In this paper, the bias and reasons for dust emission in China Meteorological Administration Unified Atmospheric Chemistry Environment-Dust, an operational dust forecasting model,are analyzed using a heavy sand and dust storm episode. We used 18 years of routine sand and dust storm phenomena recorded at meteorological stations to retrieve and update the desertification details in the MBA sectional dust emission scheme adopted in China Meteorological Administration Unified Atmospheric Chemistry Environment-Dust. New desertification details include decreased erodibility in the area adjacent to Uzbekistan, Turkmenistan, and southern Kazakhstan, where Kyzylkum, Karakum, and Aralkum are located in central Asia, and in the Chinese deserts of Onqin Daga, Mu Us, and Gurbantungut. New desertification also results in increased erodibility in northern Mongolia. Comparisons show that the new desertification database decreases overestimation of dust emission in central Asia, including western Mongolia. It improves the underestimation of dust emission in northern Mongolia and the Gobi desert in southeast Mongolia, and the Taklimakan desert in China. Consequently, it corrects the overestimated dust cloud in the source area and in areas impacted by dust transportation. The timing,quantitative mass concentrations, and dust size distributions determined here are all more reasonable and rational than those of the original case.
机译:关于灰尘浓度和尺寸分布的信息对于确定空气质量和气溶胶 - 辐射云相互作用非常重要。只有通过使用正确的侵蚀数据库,块散热方案才能解决详细的尺寸分布,并确定将发出灰尘的位置和程度。本文采用了沉重的沙丘和尘埃风暴集,分析了中国气象给药杂散统一大气化学环境 - 粉尘,运行粉尘预测模型的偏差和原因。我们使用了18年的常规沙子和尘暴现象,在气象站记录,以检索和更新中国气象管理统一大气化学环境尘埃中采用的MBA截面粉尘排放方案中的荒漠化细节。新的荒漠化细节包括乌兹别克斯坦,土库曼斯坦和哈萨克斯坦毗邻的地区的蚀刻性下降,在那里Kyzylkum,Karakum和Aralkum位于中亚,在中国沙漠,穆美利亚和甘班牙的中国沙漠中。新的荒漠化也导致蒙古北部的腐蚀性增加。比较表明,新的荒漠化数据库降低了中亚尘埃排放的高估,包括西部蒙古。它改善了蒙古北部尘埃排放和东南蒙古的戈壁沙漠,以及中国的塔克拉玛沙漠。因此,它纠正了源区的高估尘埃云,并在灰尘运输影响的区域中。这里确定的定时,定量质量浓度和灰尘尺寸分布是比原始壳体的更合理和理性的。

著录项

  • 来源
  • 作者单位

    State Key Laboratory of Severe Weather &

    Key Laboratory of Atmospheric Chemistry of CMA Chinese Academy of Meteorological Sciences Beijing China;

    National Meteorological Center Beijing China;

    National Meteorological Center Beijing China;

    State Key Laboratory of Severe Weather &

    Key Laboratory of Atmospheric Chemistry of CMA Chinese Academy of Meteorological Sciences Beijing China;

    State Key Laboratory of Severe Weather &

    Key Laboratory of Atmospheric Chemistry of CMA Chinese Academy of Meteorological Sciences Beijing China;

    State Key Laboratory of Severe Weather &

    Key Laboratory of Atmospheric Chemistry of CMA Chinese Academy of Meteorological Sciences Beijing China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;
  • 关键词

    sectional; bias; desertification;

    机译:分段;偏见;荒漠化;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号