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Impact of vortex size and Initialization on prediction of landfalling tropical cyclones over Bay of Bengal

机译:涡旋大小和初始化对孟加拉湾登陆热带气旋的预测的影响

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This study focuses on improving the vortex of Tropical Cyclone (TC) using different initialization techniques and its subsequent impact on the performance of Advanced Research Weather Research and Forecasting (ARW) mesoscale model. The Initialization of TC vortex from global analyses (CNTL) is found to be poor due to coarse horizontal and vertical structure, and is improved by assimilating available observations using 3DVAR technique (3DV). In another experiment (VAR_VI), vortex is corrected using vortex initialization and relocation procedures to correspond with India Meteorological Department (IMD) 'observed' position and intensity estimates, and then assimilation of additional observations is undertaken.The initial vortex improvement in terms of horizontal and vertical structure is noted in both experiments with the VAR_VI results being better than for the 3DV experiment. Simulations following the VAR_VI experiment showed remarkable improvement in simulating track, intensity and structure of the two TCs it was evaluated for (TC Giri and TC Jal). The large scale dynamical and thermo-dynamical fields such as steering flow, vertical wind shear and warm core structure were also improved. For TC Giri, the VAR_VI could reproduce the observed intensification rate of 10 ms(-1) within 12 h, while for TC Jal, the VAR_VI run could simulate the inland rainfall due to sheared convective clouds. Results suggested that the improvements would likely to be more for stronger TCs. This study highlights the continued need and value of improvement of TC vortex using initialization and insitu and remote sensing observations over the Bay of Bengal region.
机译:这项研究的重点是使用不同的初始化技术来改善热带气旋(TC)的涡旋及其对高级研究天气研究和预报(ARW)中尺度模型性能的影响。由于整体的水平和垂直结构,发现来自整体分析(CNTL)的TC涡旋初始化很差,并且可以通过使用3DVAR技术(3DV)吸收可用的观测结果来进行初始化。在另一个实验(VAR_VI)中,使用涡旋初始化和重定位程序校正了涡旋,使其与印度气象局(IMD)的``观测''位置和强度估计值相对应,然后进行了其他观测的同化。在两个实验中都记录了垂直结构,VAR_VI结果比3DV实验要好。 VAR_VI实验之后的模拟结果显示,在对两个被评估的TC(TC Giri和TC Jal)的轨迹,强度和结构进行模拟时,其性能得到了显着改善。诸如转向流,垂直风切变和暖芯结构等大型动力学和热力学领域也得到了改善。对于TC Giri,VAR_VI可以在12 h内重现观测到的10 ms(-1)的强化速度,而对于TC Jal,VAR_VI运行可以模拟由于剪切对流云造成的内陆降雨。结果表明,对于更强大的TC,改进可能会更多。这项研究强调了使用孟加拉湾地区的初始化以及原位和遥感观测来改善TC涡旋的持续需要和价值。

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