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基于高度再指定的FY-2C双通道云导风同化及预报试验
引用本文:杨成荫,陆其峰,景丽.基于高度再指定的FY-2C双通道云导风同化及预报试验[J].解放军理工大学学报,2012,0(6):694-701.
作者姓名:杨成荫  陆其峰  景丽
作者单位:1.解放军理工大学 气象海洋学院,江苏 南京 211101; 2.国家卫星气象中心,北京 100081; 3.空军装备研究院 航空气象防化研究所,北京 100086
基金项目:国家自然科学基金资助项目(40705037,41205009).
摘    要:为了探求FY-2C双通道云导风在实际预报中的可用性,先对双通道云导风进行合并,并利用T511模式12 h预报场对云导风进行高度再指定,使得云导风资料的空间密度和质量明显提高。进而利用WRF模式及其变分同化系统WRFDA对高度再指定前、后的云导风在同化及预报中的影响进行了研究,结果表明:同化原始云导风使初估风场的统计误差增大,而同化高度再指定后的云导风对初估风场有明显的改善作用;同化原始云导风会导致压、温、湿的初估场误差增加,但同化高度再定位后的云导风效果明显好于同化原始云导风;同化高度再定位后的云导风对48 h内的风场预报有改善作用,随着预报时效的延伸,风场的改善带动了其他要素场从负影响到正影响的转变。

关 键 词:FY2-C云导风  高度再指定  三维变分同化  数值预报
收稿时间:2011-09-09
修稿时间:2011-09-09.

Numerical experiments of assimilation and forecasts by using dualchannels AMV products of FY 2C based on height reassignment
YANG Cheng-yin,LU Qi-feng and JING Li.Numerical experiments of assimilation and forecasts by using dualchannels AMV products of FY 2C based on height reassignment[J].Journal of PLA University of Science and Technology(Natural Science Edition),2012,0(6):694-701.
Authors:YANG Cheng-yin  LU Qi-feng and JING Li
Institution:1. College of Meteorology and Oceanography, PLA Univ. of Sci. & Tech.,Nanjing 211101,China; 2. National Satellite Meteorology Center,Beijing 100081,China; 3. Aviation Meteorological Institute, Air Force Academy of Armaments,Beijing 100086,China
Abstract:To study the practicability of dual channel atmospheric motion vectors(AMVs) of FY 2C in operational forecast, the dual channel AMVs were merged firstly, and then the merged AMVs were reassigned to the new heights with the 12 h wind fields forecasted by the T511 System as a reference, which could both increase the spatial density and improve the quality of AMVs obviously. On this basis, the impact of the AMVs without and with height reassignment on assimilation and forecasts by using the WRF model and its three dimensional system were studied. It's found that the assimilation of the original AMVs enhanced the statistical errors of the initial wind field. However, the assimilation of the reassigned AMVs improved the quality of the initial wind field. Further more, the assimilation of either the original or the reassigned AMVs led to increasing errors of the initial field of height, temperature and humidity. However, the assimilation of the reassigned AMVs was much better than that of the original AMVs. The 48 h forecasts of the wind field were improved by assimilating the reassigned AMVs. With the extension of the validity period, the better wind field could drive the impact of assimilating the reassigned AMVs on other element fields to translate from a negative initial pattern to a positive forecasting pattern.
Keywords:AMVs of FC 2C  height reassignment  3D VAR  numerical forecast
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