Effect of Adding Hydrometeor Mixing Ratios Control Variables on Assimilating Radar Observations for the Analysis and Forecast of a Typhoon
Effect of Adding Hydrometeor Mixing Ratios Control Variables on Assimilating Radar Observations for the Analysis and Forecast of a Typhoon
复制标题
添加水凝物混合比控制变量对台风分析预报雷达观测同化的影响
DOI：
10.3390/atmos10070415
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发表时间：
2019-07
期刊：
影响因子：
2.9
通讯作者：
Jinzhong Min
中科院分区：
文献类型：
--
作者：
Dongmei Xu;Feifei Shen;Jinzhong Min
变分资料同化（DA）方法通过最小化关于控制变量（CV）的成本函数来寻求最优分析。在这项研究中，CV扩展到包括水凝物混合比相关的变量，除了广泛使用的CV集（动量场，表面压力，温度和伪相对湿度）。本文从水凝物混合比的角度研究了附加CV对雷达径向速度（Vr）和反射率（RF）同化的影响，并用于台风灿都（2010）的分析和预报。结果表明，国家气象中心（NMC）方法的扩展CV的背景误差统计是可靠的。通过将水凝物混合比作为CV同化雷达Vr和RF，显著改善了路径预报。用比重计CV进行的DA试验表明，强度分析和预测有很大改进。也在一定程度上提高了降水预报水平。当Vr和RF数据一起应用时，使用直接RF同化方案的积极影响是显着的。这表明，当我们应用间接RF同化方案时，在成本函数中拟合更多的比重计往往会导致其他变量（如风和温度）的轻微退化。
The variational data assimilation (DA) method seeks the optimal analyses by minimizing a cost function with respect to control variables (CVs). CVs are extended in this study to include hydrometeor mixing ratios related variables besides the widely used sets of CVs (momentum fields, surface pressure, temperature, and pseudo-relative humidity). The impacts of the extra CVs are investigated in terms of hydrometeor mixing ratios to the assimilation of radar radial velocity (Vr) and reflectivity (RF) for the analysis and prediction of Typhoon Chanthu (2010). It is found that the background error statistics of the extended CVs from the National Meteorological Center (NMC) method is reliable. The track forecast is improved significantly by including hydrometeor mixing ratios as CVs to assimilate radar Vr and RF. The DA experiments using the hydrometer CVs show much improved intensity analysis and forecast. It also improves the precipitation forecast skills to some extent. The positive impact is significant using a direct RF assimilation scheme, when Vr and RF data are applied together. It suggests that when we applying an indirect RF assimilation scheme, the fitting of more hydrometers in the cost function will tend to cause a slight degradation for other variables such as the wind and temperature.
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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：
3.1
作者：
Jidong Gao;D. Stensrud
通讯作者：
Jidong Gao;D. Stensrud
影响因子：
3.8
作者：
Daqing Yang;B. Ye;A. Shiklomanov
通讯作者：
Daqing Yang;B. Ye;A. Shiklomanov
影响因子：
2
作者：
Yuanfu Xie;A. MacDonald
通讯作者：
Yuanfu Xie;A. MacDonald
DOI：
--
发表时间：
2007
期刊：
--
影响因子：
--
作者：
Chunmei Hu
通讯作者：
Chunmei Hu