首页> 外文期刊>Atmospheric Chemistry and Physics Discussions >Tropical deep convection and density current signature in surface pressure: comparison between WRF model simulations and infrasound measurements
【24h】

Tropical deep convection and density current signature in surface pressure: comparison between WRF model simulations and infrasound measurements

机译:表面压力的热带深度对流和密度电流签名:WRF模型模拟与基础测量之间的比较

获取原文
           

摘要

Deep convection is a major atmospheric transport process in the tropics, affecting the global weather and the climate system. In the framework of the ARISE (Atmospheric dynamics Research InfraStructure in Europe) project, we combine model simulations of tropical deep convection with in situ ground measurements from an IMS (International Monitoring System) infrasound station in the Ivory Coast to analyze the effects of density current propagation. The WRF (Weather Research and Forecasting) model is firstly run in a simplified (referred to as "idealized case") and highly resolved configuration to explicitly account for convective dynamics. Then, a coarser three-dimensional simulation (referred to as "real") is nudged towards meteorological reanalysis data in order to compare the real case with the idealized model and in situ observations. In the 2-D run, the evolution of a deep convective cloud generates a density current that moves outward up to 30 km away from storm center. The increase in surface density (up to 18 g m?3 larger than surrounding air) is mostly due to the sudden temperature decrease (down to ?2 °C, with respect to the domain-averaged value) from diabatic cooling by rain evaporation near ground level. It is accompanied by a dramatic decrease in relative humidity (down to ?50%), buoyancy (down to ?0.08 m s?2), equivalent potential temperature (25 °C lower than the planetary boundary layer (PBL)) and the rapid enhancement of horizontal wind speed (up to 15 m s?2). If temperature and density changes are strong enough, surface pressure becomes largely affected and high-frequency disturbances (up to several tens of Pa) can be detected at the leading edges of density current. The moister and warmer air of subcloud layer is lifted up and replaced by a more stable flow. The resulting thermodynamical instabilities are shown to play a key role in triggering new convection. If the initial environment is sufficiently unstable, they can give rise to continuous updrafts that may lead to the transition from single-cell to multicell cloud systems, even without the presence of an initial wind shear. The overall consistence and similarity between idealized and real simulation, and the good agreement of the real case with in situ retrievals of temperature, pressure, wind speed and direction, seem to confirm the ability of 2-D and 3-D models to well reproduce convective dynamics. Surface pressure disturbances, simulated in both the idealized and real cases as a consequence of cold pool propagation, are very similar to those recorded in the Ivory Coast. Present results stress the direct link between mesoscale convective system activity and high-frequency surface pressure variations, suggesting the possibility of developing a new method for real-time rainstorm tracking based on the ground-based infrasound monitoring of pressure field.
机译:深度对流是热带地区的主要大气运输过程,影响全球天气和气候系统。在ARISE(在欧洲大气动力学的研究基础设施)项目的框架内,我们在现场地面测量相结合的热带深对流的模型模拟与来自IMS(国际监测系统)声站象牙海岸分析密度电流的影响传播。 WRF(天气研究和预测)模型首先以简化的(称为“理想化的情况”)和高度解决的配置进行了高度解决的配置,以明确占对流动态。然后,倾向于使气象再分析数据(称为“真实”)倾斜三维模拟(称为“真实”,以便将实际情况与理想化模型和原位观察进行比较。在2-D奔跑中,深入对流云的演变产生了密度电流,距离风暴中心最远30公里的密度电流。表面密度的增加(高达18克的围绕空气大于周围空气)主要是由于突然温度下降(相对于域平均值相对于域平均值)从落地附近雨水蒸发等级。它是伴随着在相对湿度的急剧下降(下降到〜50%),浮力(下降到0.08毫秒?2),相当于电位温度(25℃比行星边界层(PBL)降低)和迅速提高水平风速(高达15毫秒?2)。如果温度和密度变化足够强,则表面压力变得很大,在密度电流的前缘处可以检测到高频扰动(最多几十只PA)。将亚级层的气体和暖空气抬起并取代更稳定的流动。由此产生的热力学不稳定性显示在触发新对流中发挥关键作用。如果初始环境足够不稳定,则它们可以产生连续上升端,即使在没有初始风剪的情况下,也可能导致从单电池到多单元的过渡。理想化和实际模拟之间的整体一致性和相似性,以及实际情况与温度,压力,风速和方向的实际情况的良好一致性,似乎确认了2-D和3-D模型到良好繁殖的能力对流动力学。由于冷池传播的理想和实际情况,在理想化和实际情况下模拟的表面压力干扰与象牙海岸中记录的那些非常相似。目前的结果应力强调Messcle对流系统活动和高频表面压力变化之间的直接联系,这表明基于压力场地下基于基于地面的基于地面的基于地基监测来开发一种实时暴雨跟踪方法的可能性。

著录项

获取原文

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