首页> 外文OA文献 >University of Warsaw Lagrangian Cloud Model (UWLCM) 1.0: a modern large-eddy simulation tool for warm cloud modeling with Lagrangian microphysics
【2h】

University of Warsaw Lagrangian Cloud Model (UWLCM) 1.0: a modern large-eddy simulation tool for warm cloud modeling with Lagrangian microphysics

机译:华沙大学拉格朗日云模型(UWLCM)1.0:一种现代大涡仿真工具,用于利用拉格朗日微物质的温暖云建模

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

A new anelastic large-eddy simulation (LES) model with an Eulerian dynamical core and Lagrangian particle-based microphysics is presented.The dynamical core uses the multidimensional positive-definite advection transport algorithm (MPDATA) advection scheme and the generalized conjugate residual pressure solver, whereas the microphysics scheme is based on the super-droplet method.Algorithms for coupling of Lagrangian microphysics with Eulerian dynamics are presented, including spatial and temporal discretizations and a condensation substepping algorithm.The model is free of numerical diffusion in the droplet size spectrum.Activation of droplets is modeled explicitly, making the model less sensitive to local supersaturation maxima than models in which activation is parameterized.Simulations of a drizzling marine stratocumulus give results in agreement with other LES models.It is shown that in the super-droplet method a relatively low number of computational particles is sufficient to obtain correct averaged properties of a cloud, butcondensation and collision–coalescence have to be modeled with a time step of the order of 0.1 s.Such short time steps are achieved by substepping, as the model time step is typically around 1 s.Simulations with and without an explicit subgrid-scale turbulence model are compared.Effects of modeling subgrid-scale motion of super-droplets are investigated.The model achieves high computational performance by using graphics processing unit (GPU) accelerators.
机译:一种新的滞弹性大涡模拟(LES)用欧拉动力芯和拉格朗日基于粒子的微物理模型是presented.The动力核心使用多维正定平流输送算法(MPDATA)平流方案和广义共轭剩余压力解算器,而微物理方案是基于超液滴method.Algorithms用于与欧拉动力学拉格朗日微观的耦合被呈现,包括空间和时间离散化和缩合substepping algorithm.The模型是自由扩散的数值在液滴尺寸spectrum.Activation液滴被明确建模,使得模型局部过饱和最大值比模型中,激活是与其他LES models.It协议蒙蒙细雨海洋层积云得出的结果parameterized.Simulations敏感性低表明,在超液滴方法比较计算颗粒的低数量足以OBT泉云,butcondensation和碰撞合并的正确平均特性必须以0.1 s.Such短时间步骤的顺序的时间步长来建模由substepping得以实现,作为模型时间步长典型地是大约1个s.Simulations与并且没有明确的亚网格规模湍流模型是模拟超水滴的次网格尺度运动的compared.Effects是investigated.The模型实现通过使用图形处理单元(GPU)的促进剂的高的计算性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号