The Effects of Snow Cover and Soil Moisture on Asian Dust: II. Emission Estimation by Lidar Data Assimilation
The Effects of Snow Cover and Soil Moisture on Asian Dust: II. Emission Estimation by Lidar Data Assimilation
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DOI：
10.2151/sola.7a-011
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发表时间：
2011
期刊：
影响因子：
1.9
通讯作者：
T. Sekiyama;T. Tanaka;T. Maki;M. Mikami
中科院分区：
文献类型：
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作者：
T. Sekiyama;T. Tanaka;T. Maki;M. Mikami
本文是描述春季积雪和土壤湿度对亚洲沙尘影响的系列文章之二。鉴于本系列的第一篇文章讨论了积雪和土壤湿度估计的重要性，在这里，我们专注于基于数据同化的粉尘排放强度结果的正确性，假设模拟模型产生错误的积雪和土壤湿度。我们利用全球卫星激光雷达测量和四维集合卡尔曼滤波器来优化沙尘排放模拟。通过与独立的地面激光雷达测量结果进行比较，对数据同化结果进行了评估。资料同化过程导致了2007年3月25日至4月3日沙尘事件期间戈壁地区沙尘排放量的增加，并改善了背风地区沙尘浓度的分析。如果没有数据同化，由于沙尘源区的湿表面条件，沙尘浓度被低估。本文证实了积雪和土壤湿度估计的改进在亚洲沙尘水平分析中的重要性，并表明数据同化是一个强大的工具，可以有助于这种改进。
This paper is the second of a series that describes the effects of snow cover and soil moisture on Asian dust during spring. Whereas the first paper in this series discussed the importance of snow cover and soil moisture estimation, here, we focus on the correctness of the dust emission intensity results based on data assimilation under the assumption that simulation models yield errors in snow cover and soil moisture. We utilized global satellite lidar measurements and a four-dimensional ensemble Kalman filter to optimize the dust emission simulation. The data assimilation results were evaluated by a comparison with independent ground-based lidar measurements. The data assimilation procedure resulted in an increase in the dust emission in the Gobi region during the dust event from March 25 to April 3, 2007, and it improved the analysis of dust concentrations in the leeward region. Without data assimilation, the dust concentrations were underestimated owing to the wet surface conditions of the dust source region. This paper confirms that the improvement of snow cover and soil moisture estimation is important in the analysis of Asian dust levels, and it demonstrates that data assimilation is a powerful tool that can contribute to such improvement.