Improved Land Use and Leaf Area Index Enhances WRF-3DVAR Satellite Radiance Assimilation: A Case Study Focusing on Rainfall Simulation in the Shule River Basin during July 2013
Improved Land Use and Leaf Area Index Enhances WRF-3DVAR Satellite Radiance Assimilation: A Case Study Focusing on Rainfall Simulation in the Shule River Basin during July 2013
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改善土地利用和叶面积指数增强 WRF-3DVAR 卫星辐射同化：以 2013 年 7 月疏勒河流域降雨模拟为重点的案例研究
DOI：
10.1007/s00376-017-7120-4
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发表时间：
2018-04
影响因子：
5.8
通讯作者：
Shen M
中科院分区：
文献类型：
--
作者：
Yang J;Ji Z;Chen D;Kang S;Fu C;Duan K;Shen M
卫星辐射同化的应用可以改进数值天气预报模式对降水的模拟。然而，由于难以对地表发射率和能量收支进行实际建模，大量卫星数据，特别是那些来自低层(地表敏感)通道的数据，被拒绝使用。在这里，我们使用WRF-3DVAR同化系统中改进的土地利用和叶面积指数(LAI)数据集，以青藏高原东北部的疏勒河流域为例，探讨了利用改进的陆面信息来改进降雨模拟的好处。2013年7月的结果表明，对于低层通道(例如通道3)，原始模拟中对亮温的低估被更真实的地表信息基本上消除了。此外，由于实际土地利用和LAI数据允许更多的卫星辐射数据通过偏差检验并被同化使用，从而改善了初始驱动场，并在温度、相对湿度、垂直对流和累积降水方面得到了更好的模拟，因此可以使用更多的卫星数据进行同化。
The application of satellite radiance assimilation can improve the simulation of precipitation by numerical weather prediction models. However, substantial quantities of satellite data, especially those derived from low-level (surface-sensitive) channels, are rejected for use because of the difficulty in realistically modeling land surface emissivity and energy budgets. Here, we used an improved land use and leaf area index (LAI) dataset in the WRF-3DVAR assimilation system to explore the benefit of using improved quality of land surface information to improve rainfall simulation for the Shule River Basin in the northeastern Tibetan Plateau as a case study. The results for July 2013 show that, for low-level channels (e.g., channel 3), the underestimation of brightness temperature in the original simulation was largely removed by more realistic land surface information. In addition, more satellite data could be utilized in the assimilation because the realistic land use and LAI data allowed more satellite radiance data to pass the deviation test and get used by the assimilation, which resulted in improved initial driving fields and better simulation in terms of temperature, relative humidity, vertical convection, and cumulative precipitation.
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影响因子：
3.1
作者：
Ide, K;Courtier, P;Lorenc, AC
通讯作者：
Lorenc, AC
影响因子：
--
作者：
Yan Shen;A. Xiong;Ying Wang;P. Xie
通讯作者：
Yan Shen;A. Xiong;Ying Wang;P. Xie
影响因子：
8.9
作者：
P. Bauer;P. Lopez;D. Salmond;A. Benedetti;S. Saarinen;M. Bonazzola
通讯作者：
P. Bauer;P. Lopez;D. Salmond;A. Benedetti;S. Saarinen;M. Bonazzola
影响因子：
3.1
作者：
T. Tsuda;T. Inoue;S. Kato;S. Fukao;D. Fritts;T. Vanzandt
通讯作者：
T. Tsuda;T. Inoue;S. Kato;S. Fukao;D. Fritts;T. Vanzandt
影响因子：
8.9
作者：
J. Eyre;G. Kelly;A. Mcnally;E. Andersson;A. Persson
通讯作者：
J. Eyre;G. Kelly;A. Mcnally;E. Andersson;A. Persson