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Effect of physical parameterization schemes on track and intensity of cyclone LAILA using WRF model

机译:物理参数化方案对WRF模型对旋风LAILA径迹和强度的影响

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The objective of the present study is to investigate in detail the sensitivity of cumulus parameterization (CP), planetary boundary layer (PBL) parameterization, microphysics parameterization (MP) on the numerical simulation of severe cyclone LAILA over Bay of Bengal using Weather Research & Forecasting (WRF) model. The initial and boundary conditions are supplied from GFS data of 1A degrees x 1A degrees resolution and the model is integrated in three 'twoway' interactive nested domains at resolutions of 60 km, 20 km and 6.6 km. Total three sets of experiments are performed. First set of experiments include sensitivity of Cumulus Parameterization (CP) schemes, while second and third set of experiments is carried out to check the sensitivity of different PBL and Microphysics Parameterization (MP) schemes. The fourth set contains initial condition sensitivity experiments. For first three sets of experiments, 0000 UTC 17 May 2010 is used as initial condition. In CP sensitivity experiments, the track and intensity is well simulated by Betts-Miller-Janjic (BMJ) schemes. The track and intensity of LAILA is very sensitive to the representation of large scale environmental flow in CP scheme as well as to the initial vertical wind shear values. The intensity of the cyclone is well simulated by YSU scheme and it depends upon the mixing treatment in and above PBL. Concentration of frozen hydrometeors, such as graupel in WSM6 MP scheme and latent heat released during auto conversion of hydrometeors may be responsible for storm intensity. An additional set of experiments with different initial vortex intensity shows that, small differences in the initial wind fields have profound impact on both track and intensity of the cyclone. The representation of the mid-tropospheric heating in WSM6 is mainly controlled by amount of graupel hydrometeor and thus might be one of the possible causes in modulating the storm's intensity.
机译:本研究的目的是利用天气研究和预报,详细研究积云参数化(CP),行星边界层(PBL)参数化,微物理参数化(MP)对孟加拉湾上空强旋风LAILA数值模拟的敏感性。 (WRF)模型。初始条件和边界条件由分辨率为1A度x 1A度的GFS数据提供,并且模型以60 km,20 km和6.6 km的分辨率集成到三个“双向”交互式嵌套域中。总共进行三组实验。第一组实验包括积云参数化(CP)方案的灵敏度,而第二组和第三组实验用于检查不同的PBL和微物理学参数化(MP)方案的灵敏度。第四组包含初始条件敏感性实验。对于前三组实验,将0000 UTC 2010年5月17日用作初始条件。在CP灵敏度实验中,通过Betts-Miller-Janjic(BMJ)方案很好地模拟了轨迹和强度。 LAILA的轨迹和强度对CP方案中大规模环境流量的表示以及初始垂直风切变值非常敏感。 YSU方案很好地模拟了旋风分离器的强度,它取决于PBL及其以上的混合处理。冻结水汽凝结物的浓度(例如WSM6 MP方案中的graupel)以及在水汽凝结物自动转换过程中释放的潜热可能是造成风暴强度的原因。另外一组具有不同初始涡流强度的实验表明,初始风场的细微差异对旋风的轨迹和强度都有深远的影响。 WSM6中对流层中层加热的表示主要受格鲁珀尔流星的数量控制,因此可能是调节风暴强度的可能原因之一。

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