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A Lagrangian Objective Analysis Technique for Assimilating In Situ Observations with Multiple-Radar-Derived Airflow

机译:拉格朗日客观分析技术,用于多雷达衍生气流的原位观测

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摘要

A new Lagrangian analysis technique is developed to assimilate in situ boundary layer measurements using multi-Doppler-derived wind fields, providing output fields of water vapor mixing ratio, potential temperature, and virtual potential temperature from which the lifting condensation level (LCL) and relative humidity (RH) fields are derived. The Lagrangian analysis employs a continuity principle to bidirectionally distribute observed values of conservative variables with the 3D, evolving boundary layer airflow, followed by temporal and spatial interpolation to an analysis grid. Cloud is inferred at any grid point whose height z > z_(LCL) or equivalently where RH ≥ 100%. Lagrangian analysis of the cumulus field is placed in the context of gridded analyses of visible satellite imagery and photogrammetric cloud-base area analyses. Brief illustrative examples of boundary layer morphology derived with the Lagrangian analysis are presented based on data collected during the International H_2O Project (IHOP): 1) a dryline on 22 May 2002; 2) a cold-frontal-dryline "triple point" intersection on 24 May 2002. The Lagrangian analysis preserves the sharp thermal gradients across the cold front and drylines and reveals the presence of undulations and plumes of water vapor mixing ratio and virtual potential temperature associated with deep penetrative updraft cells and convective roll circulations. Derived cloud fields are consistent with satellite-inferred cloud cover and cloud-base locations.
机译:开发了一种新的拉格朗日分析技术,可使用多普勒衍生的风场来同化边界层的原位测量,从而提供水蒸气混合比,势能温度和虚拟势能温度的输出场,从中可以得出凝结水位(LCL)和相对湿度得出湿度(RH)字段。拉格朗日分析采用连续性原理,将保守变量的观测值与3D双向分布,边界层气流不断变化,随后将时空插值到分析网格。在高度z> z_(LCL)或相对湿度RH≥100%的任何网格点都可以推断出云。对积云场的拉格朗日分析置于可见卫星图像的网格分析和摄影测量云基面积分析的背景下。根据国际H_2O项目(IHOP)收集的数据,给出了用拉格朗日分析得出的边界层形态的简要说明性示例:1)2002年5月22日的干线; 2)2002年5月24日的冷额干线“三点”交叉点。拉格朗日分析保留了冷额线和干线的急剧热梯度,并揭示了水蒸气混合比的波动和羽状流以及相关的虚拟潜在温度具有深穿透力的上升气流和对流的辊环。派生的云字段与卫星推断的云量和云基地位置一致。

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