Collaborative Research: Mesoscale Structure of Boundary Layer Water Vapor Budgets and Depth during IHOP: Observations, Modeling, and Implications for Convective Initiation

合作研究：IHOP 期间边界层水汽预算和深度的中尺度结构：观测、建模和对流引发的影响

• 批准号: 0432491
• 负责人: John Mecikalski
• 金额: $ 4.18万
• 依托单位: University of Alabama in Huntsville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-01-01 至 2005-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0432491&HistoricalAwards=false
• 关键词: Collaborative; Research; Mesoscale; Structure; Boundary

Predicting the timing and location of convective cloud development is a fundamental challenge in the study of meteorology. Heterogeneities in the atmospheric boundary layer (ABL) particularly in ABL water vapor content and depth, lead to preferred locations for convective initiation. Land surface heterogeneity is an important cause of heterogeneity in the ABL. Hence, land-surface fluxes play an important role in ABL development and convective initiation. The minimum scale of land surface forcing that causes heterogeneity in ABL properties such as depth and water vapor content and consequently leads to preferred locations for cloud formation remains uncertain. Observations and models suggest scales ranging from a few to nearly 100 km.This project proposes an observational plan as part of the International H2O Project (IHOP). The IHOP is a large multi-agency, multi-investigator project that focuses on the measurement of water vapor and water vapor variability. The goal of this project is to improve understanding of convective initiation, increase short-term precipitation forecast skills and test the capabilities of various instruments to measure the four dimensional characteristics of water vapor. The critical observations for the research to be performed under this award are maps of surface fluxes of latent and sensible heat over a region of at least 300 x 300 km in Oklahoma and Kansas, and repeated airborne water vapor DIfferential Absorption Lidar (DIAL) observations of ABL depth and lower tropospheric water vapor. The flux maps will be created from a network of surface flux towers, airborne measurements of surface fluxes over repeated flight tracks about 50 km in length, satellite remote sensing of land surface temperature and vegetation cover, and a land surface model. One airborne DIAL will be coupled with an airborne Doppler Lidar, yielding the ability to observe ABL flux profiles via remote eddy covariance. Flights will be focused on the midday hours of 10-15 relatively fair weather days in order to capture the preconvective atmosphere with DIAL.Observations will be analyzed to determine the degree of spatial heterogeneity in ABL water vapor depth and water budgets and the causes of this heterogeneity, focusing especially on determining the spatial scales at which land surface heterogeneity is an important factor. Ten to fifteen days of data will be analyzed in an attempt to move beyond a case study approach.Data assimilation will be used to ingest dense, mesoscale observations into a high-resolution mesoscale atmospheric model that includes a sophisticated land-surface scheme. The model will be used as an analysis tool to study mesoscale surface-ABL-cloud interactions captured in the observations. Further the model will be used to assess the impacts of the DIAL observations, detailed land surface flux maps and a new shallow cumulus parameterization on forecasts of ABL heterogeneity and convective initiation.Products will include ABL depth maps, ABL water budget estimates and model post-analysis fields incorporating all available IHOP observations for the 10-15 days of DIAL observations. Expected results include: an improved understanding of the role of land surface heterogeneity in convective ABL development and convective initiation; the degree to which model prediction of ABL development and moist convection can be improved via dense observations of ABL water vapor content and surface fluxes; and the impact of a shallow convection parameterization on model performance.

预测对流云发展的时间和位置是气象学研究中的一个根本挑战。 在大气边界层（ABL），特别是在ABL水汽含量和深度的不均匀性，导致对流开始的首选位置。 陆面非均匀性是造成大气边界层非均匀性的一个重要原因，因此，陆面通量在大气边界层发展和对流发生中起着重要作用。 陆面强迫的最小尺度，导致ABL特性的异质性，如深度和水汽含量，从而导致云形成的首选位置仍然不确定。 观测和模型表明，尺度从几公里到近100公里不等。该项目提出了一项观测计划，作为国际H2O项目的一部分。 IHOP是一个大型的多机构、多研究者项目，重点是测量水蒸气和水蒸气变化。 该项目的目标是提高对对流启动的理解，提高短期降水预报技能，并测试各种仪器测量水汽四维特征的能力。 根据该奖项进行的研究的关键观测是俄克拉荷马州和堪萨斯至少300 x 300公里区域的潜热和感热表面通量图，以及ABL深度和对流层低层水汽的重复空中水汽差分吸收激光雷达（DIAL）观测。 通量图将利用地面通量塔网络、在大约50公里长的重复飞行轨迹上对地面通量进行的空中测量、对地表温度和植被覆盖的卫星遥感以及一个地表模型来制作。 一个机载DIAL将与一个机载多普勒激光雷达相结合，从而能够通过远程涡动协方差观测ABL通量剖面。 飞行将集中在10 - 15个相对晴朗的天气天的中午，以捕捉对流前的大气与DIAL。观测将进行分析，以确定ABL水汽深度和水收支的空间异质性的程度和这种异质性的原因，特别是侧重于确定陆面异质性是一个重要因素的空间尺度。 将对10至15天的数据进行分析，试图超越个案研究的方法，将使用数据同化将密集的中尺度观测纳入一个高分辨率的中尺度大气模式，其中包括一个复杂的陆面方案。 该模式将被用作分析工具，以研究观测中捕获的中尺度地面ABL云的相互作用。 此外，该模式将用于评估DIAL观测、详细的陆面通量图和新的浅积云参数化对ABL异质性和对流启动预报的影响，产品将包括ABL深度图、ABL水收支估计和模式后分析场，这些分析场将包括DIAL观测10 - 15天的所有可用的IHOP观测。 预期成果包括：一个更好的了解对流ABL发展和对流启动的陆面非均匀性的作用，在何种程度上可以通过密集的观测ABL水汽含量和地面通量，提高模式预测的ABL发展和湿对流，以及浅对流参数化对模式性能的影响。