AbstractThe primary goal of present study is to investigate the impact of assimilation of conventional'/> Impact of Assimilation of Conventional and Satellite Radiance GTS Observations on Simulation of Mesoscale Convective System Over Southeast India Using WRF-3DVar
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Impact of Assimilation of Conventional and Satellite Radiance GTS Observations on Simulation of Mesoscale Convective System Over Southeast India Using WRF-3DVar

机译：使用WRF-3DVAR的常规和卫星辐射GTS GTS观测结果对西南部地区Mescle对流系统模拟的影响

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AbstractThe primary goal of present study is to investigate the impact of assimilation of conventional and satellite radiance observations in simulating the mesoscale convective system (MCS) formed over south east India. An assimilation methodology based on Weather Research and Forecasting model three dimensional variational data assimilation is considered. Few numerical experiments are carried out to examine the individual and combined impact of conventional and non-conventional (satellite radiance) observations. After the successful inclusion of additional observations, strong analysis increments of temperature and moisture fields are noticed and contributed to significant improvement in model’s initial fields. The resulting model simulations are able to successfully reproduce the prominent synoptic features responsible for the initiation of MCS. Among all the experiments, the final experiment in which both conventional and satellite radiance observations assimilated has showed considerable impact on the prediction of MCS. The location, genesis, intensity, propagation and development of rain bands associated with the MCS are simulated reasonably well. The biases of simulated temperature, moisture and wind fields at surface and different pressure levels are reduced. Thermodynamic, dynamic and vertical structure of convective cells associated with the passage of MCS are well captured. Spatial distribution of rainfall is fairly reproduced and comparable to TRMM observations. It is demonstrated that incorporation of conventional and satellite radiance observations improved the local and synoptic representation of temperature, moisture fields from surface to different levels of atmosphere. This study highlights the importance of assimilation of conventional and satellite radiances in improving the models initial conditions and simulation of MCS.]]>
机译：<！[CDATA [ <标题>抽象 ara id =“par1”>本研究的主要目标是调查影响常规和卫星辐射观测的同化模拟在印度东南部形成的Mesoscale对流系统（MCS）。考虑了基于天气研究和预测模型三维变分数据同化的同化方法。进行了几个数值实验，以检查常规和非常规（卫星光线）观察的个体和组合的影响。在成功包含额外的观察后，注意到温度和水分田的强烈分析增量，并有助于模型初始领域的显着改进。由此产生的模型模拟能够成功再现负责MCS启动的突出的突出性功能。在所有实验中，常规和卫星辐射观察同化的最终实验对MCS的预测表现出相当大的影响。与MCS相关的雨杆的位置，成因，强度，传播和发展都是合理的。表面和不同压力水平的模拟温度，水分和风场的偏差减小。捕获与MCS通过的热力学，动态和垂直结构的热力学，动态和垂直结构。降雨的空间分布相当复制和与TRMM观察相当。结果表明，常规和卫星辐射观察的融合改善了温度，水分田地的局部和概要表示，从表面到不同程度的大气层。本研究强调了同化常规和卫星广域的同化在改善MCS初始条件和模拟方面的重要性。 ]]>

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