Collaborative Research: Data Assimilation Analysis of the Boundary Layer and Convection Initiation During International H2O Project (IHOP)

合作研究：国际H2O项目（IHOP）期间边界层和对流引发的数据同化分析

• 批准号: 0638572
• 负责人: Conrad Ziegler
• 金额: $ 17.49万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-01-15 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0638572&HistoricalAwards=false
• 关键词: Collaborative; Research; Data; Assimilation; Analysis

The field phase of the International H2O Project (IHOP_2002) provided a wide range of mesoscale meteorological observations to help improve understanding of the scales of, and processes influencing, the atmospheric boundary layer (ABL), convection initiation (CI) and quantitative precipitation forecasting (QPF). Previous research focused on the collection and analysis of targeted mobile field observations, the analysis of the preconvective boundary layer structure and evolution, and the cumulus formation and convection inhibition/initiation processes. The goal of this research is to provide new understanding of the dynamics of boundary layer circulations and the related processes leading to cumulus formation and CI by applying advanced data assimilation tools for the first time to additional IHOP cases. Intellectual Merit: The Principal Investigators will continue analysis of 3-D radar-derived boundary layer airflow and in-situ measurements of winds and thermodynamic parameters from mobile mesonets, soundings, aircraft, and other targeted mobile and fixed IHOP platforms. The combination of boundary layer airflow with in-situ measurements of absolute humidity and virtual temperature provide the only means of documenting the dynamical and transportive processes acting in the boundary layer to regulate precipitable water and force the development of secondary circulations and clouds or storms. Thus, new analyses of IHOP observations are essential to continue evaluating all hypotheses concerning the impact of water vapor supply and airflow evolution on boundary formation and CI in different mesoscale environments. Detailed IHOP observations will be analyzed in several different ways. Subjective analyses and visualizations will be produced incorporating all available data on the relevant scales for CI. Observation density will be enhanced utilizing a Lagrangian analysis developed under the previous grant that distributes nearly conserved variables along Lagrangian trajectories based on multiple-Doppler wind syntheses. Finally, the potential of assimilating these enhanced observations directly into a cloud/mesoscale model using the Ensemble Kalman Filter method will be assessed to determine the dynamical forcing processes controlling the development of localized boundary layer and lower tropospheric circulations that either promote or prevent CI. Thus, the research will substantially augment and complement other ongoing data assimilation studies of storms and mesoscale convective systems and contribute to a more seamless, end-to-end methodology for mesoscale data assimilation at all scales affecting storm formation and evolution and numerical forecasting of storms. Broader Impacts: This effort will advance the ongoing analysis of an unprecedented data set at previously unobserved scales. The proposed work involves graduate students - thus contributing to the training of the next generation of researchers - while promoting research partnerships between the collaborating institutions. Through the combination of the previous and ongoing analyses, new understanding will emerge regarding the processes occurring in the heterogeneous convective boundary layer near low-level boundaries and relate those processes to the formation of thunderstorms. The knowledge gained will be useful for developing new advances, both numerical and subjective, in data assimilation and quantitative precipitation forecasting by improving the ability to forecast if, when, and where convection will develop.

国际H2O项目的实地阶段(IHOP_2002)提供了广泛的中尺度气象观测，以帮助增进对大气边界层(ABL)、对流启动(CI)和定量降水预报(QPF)的尺度和影响过程的了解。以往的研究主要集中在收集和分析有针对性的移动场观测，分析对流前边界层的结构和演变，以及积云的形成和对流抑制/启动过程。这项研究的目的是通过首次将先进的数据同化工具应用于额外的IHOP个例，对边界层环流的动力学和导致积云形成和CI的相关过程提供新的理解。智力优势：首席调查人员将继续分析3-D雷达获取的边界层气流，并从移动的中子网、探空仪、飞机和其他有针对性的移动和固定的IHOP平台现场测量风和热力学参数。边界层气流与绝对湿度和虚拟温度的现场测量相结合，提供了记录在边界层中作用的动态和输送过程的唯一手段，以调节可降水量并迫使次级环流和云或风暴的发展。因此，对IHOP观测的新分析对于继续评估关于不同中尺度环境中水汽供应和气流演变对边界形成和CI的影响的所有假设是至关重要的。将以几种不同的方式分析IHOP的详细观测结果。将产生主观分析和可视化，纳入竞争情报相关量表上的所有可用数据。观测密度将利用在前一笔赠款下开发的拉格朗日分析来提高，该分析基于多个多普勒风合成沿着拉格朗日轨迹分布几乎保守的变量。最后，将评估使用集合卡尔曼滤波方法将这些增强的观测直接同化到云/中尺度模式中的潜力，以确定控制局地边界层和低对流层环流发展的动力强迫过程，这些动力强迫过程促进或阻止CI。因此，这项研究将大大加强和补充其他正在进行的关于风暴和中尺度对流系统的数据同化研究，并有助于为影响风暴形成和演变的所有尺度的中尺度数据同化和风暴数值预报提供更加无缝、端到端的方法。更广泛的影响：这一努力将推动正在进行的对前所未有的数据集的分析，这些数据集的规模以前从未观察到。拟议的工作涉及研究生--从而有助于培训下一代研究人员--同时促进合作机构之间的研究伙伴关系。通过结合以前的分析和正在进行的分析，将对低层边界附近的非均匀对流边界层中发生的过程产生新的理解，并将这些过程与雷暴的形成联系起来。所获得的知识将有助于通过提高预测对流是否、何时和在哪里发展的能力，在数据同化和定量降水预报方面取得新的进展，包括数值和主观方面的进展。