首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Numerical analysis using WRF-SBM for the cloud microphysical structures in the C3VP field campaign: Impacts of supercooled droplets and resultant riming on snow microphysics
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Numerical analysis using WRF-SBM for the cloud microphysical structures in the C3VP field campaign: Impacts of supercooled droplets and resultant riming on snow microphysics

机译:在C3VP野战中使用WRF-SBM进行云微物理结构的数值分析:过冷液滴的影响和最终边缘对雪微物理的影响

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Two distinct snowfall events are observed over the region near the Great Lakes during 19-23 January 2007 under the intensive measurement campaign of the Canadian CloudSat/CALIPSO validation project (C3VP). These events are numerically investigated using the Weather Research and Forecasting model coupled with a spectral bin microphysics (WRF-SBM) scheme that allows a smooth calculation of riming process by predicting the rimed mass fraction on snow aggregates. The fundamental structures of the observed two snowfall systems are distinctly characterized by a localized intense lake-effect snowstorm in one case and a widely distributed moderate snowfall by the synoptic-scale system in another case. Furthermore, the observed microphysical structures are distinguished by differences in bulk density of solid-phase particles, which are probably linked to the presence or absence of supercooled droplets. The WRF-SBM coupled with Goddard Satellite Data Simulator Unit (G-SDSU) has successfully simulated these distinctive structures in the three-dimensional weather prediction run with a horizontal resolution of 1km. In particular, riming on snow aggregates by supercooled droplets is considered to be of importance in reproducing the specialized microphysical structures in the case studies. Additional sensitivity tests for the lake-effect snowstorm case are conducted utilizing different planetary boundary layer (PBL) models or the same SBM but without the riming process. The PBL process has a large impact on determining the cloud microphysical structure of the lake-effect snowstorm as well as the surface precipitation pattern, whereas the riming process has little influence on the surface precipitation because of the small height of the system.
机译:在加拿大CloudSat / CALIPSO验证项目(C3VP)的密集测量活动下,于2007年1月19日至23日在大湖附近地区观测到两个明显的降雪事件。使用天气研究和预报模型,结合光谱仓微物理学(WRF-SBM)方案,对这些事件进行了数值研究,该方案​​可通过预测积雪上的边缘质量分数来平滑计算边缘过程。观测到的两个降雪系统的基本结构的明显特征是,在一种情况下是局部强烈的湖效应暴风雪,而在另一种情况下,是天气尺度系统的广泛分布的中等降雪。此外,观察到的微物理结构的特征在于固相颗粒堆积密度的差异,这可能与过冷液滴的存在与否有关。 WRF-SBM与Goddard卫星数据仿真器单元(G-SDSU)结合,已在水平分辨率为1 km的三维天气预报运行中成功模拟了这些独特的结构。特别是,在案例研究中,过冷的水滴在雪聚集体上形成边缘对于复制特殊的微物理结构非常重要。使用不同的行星边界层(PBL)模型或相同的SBM,但不进行镶边处理,就对湖效应暴风雪进行了其他敏感性测试。 PBL过程对确定湖效应暴风雪的云微物理结构以及地表降水模式有很大影响,而边缘化过程由于系统高度小而对地表降水影响很小。

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