Land Atmosphere Feedback Analysis (LAFA)

陆地大气反馈分析（LAFA）

• 批准号: 387009215
• 负责人: Professor Dr. Volker Wulfmeyer
• 金额: --
• 依托单位: Institut für Physik und Meteorologie (120)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/387009215?language=en
• 关键词: Land; Atmosphere; Feedback; Analysis; LAFA

The Land-Atmosphere Feedback Experiment (LAFE) deploys several state-of-the-art scanning lidar and remote sensing systems at the US Atmospheric Radiation Measurement (ARM) program Southern Great Plains (SGP) site. These instruments will augment the ARM instrument suite in order to collect a dataset for studying feedback processes between the land-surface and the atmosphere. The novel synergy of remote sensing systems will be applied for simultaneous measurements of land-surface fluxes as well as horizontal and vertical turbulent and transport processes in the atmospheric convective boundary layer (CBL). The impact of spatial inhomogeneities of the soil-vegetation system on land-atmosphere (LA) feedback will be studied using the scanning capability of the instrumentation. The time period of the observations is August 2017, as large differences in surface fluxes between different fields and bare soil can be observed. Due to the high temporal and vertical resolution of this sensor synergy, mean profiles of horizontal wind, temperature, and humidity, their gradients, profiles of their higher-order moments up to the forth order as well as profiles of sensible and latent heat fluxes can be measured from close to the surface to the interfacial layer at the CBL top. Within this Land Atmosphere Feedback (LAFA) proposal, the LAFE data set will be exploited and - for selected LAFE observation periods - the UHOH WRF-NOAHMP model system will be operated in a multi-turbulence parameterization ensemble from the convective permitting scale down to the large eddy simulation (LES) scale. Based on the LAFE observations and the model output, LAFA has two objectives: 1) Determine profiles of higher-order moments of water vapor, temperature, and vertical velocity fluctuations as well as latent heat flux profiles and investigate new similarity relationships for entrainment fluxes and variances. For this purpose, the LAFE results are analyzed with respect to relationships between fluxes, variances, and gradients. 2) Verify LES runs and improve turbulence parameterizations in mesoscale models. The model output will directly be compared with the LAFE data permitting a verification of LES with previously unachieved detail. The results will provide an understanding how far LES can be used for the analysis of turbulent processes and for the derivation of turbulence parameterizations. With respect to the model output on the convection permitting scale, the corresponding parameters and variables of the turbulence parameterizations will be extracted. Different local and non-local turbulence parameterizations available in the WRF physics suite will be verified, their performance will be specified, and improvements will be developed and suggested.Therefore, LAFA will contribute to an advanced process understanding and a more accurate representation of LA exchange and the CBL in the next generation of weather forecast, climate, and earth system models.

陆地-大气反馈实验（LAFE）在美国大气辐射测量（ARM）计划南部大平原（SGP）站点部署了几个最先进的扫描激光雷达和遥感系统。这些仪器将增加ARM仪器套件，以便收集研究陆地表面和大气之间反馈过程的数据集。遥感系统的新型协同作用将用于同时测量陆地表面通量以及大气对流边界层（CBL）中的水平和垂直湍流和运输过程。利用仪器的扫描能力，研究土壤-植被系统的空间不均匀性对陆地-大气反馈的影响。观测时段为2017年8月，不同场区和裸地地表通量差异较大。由于这种传感器协同作用的高时间和垂直分辨率，可以测量从接近地表到CBL顶部界面层的水平风、温度和湿度的平均廓线及其梯度、高阶矩廓线以及感热通量和潜热通量廓线。在陆地大气反馈（LAFA）方案中，将利用LAFE数据集，在选定的LAFE观测期内，UHOH WRF-NOAHMP模式系统将在多湍流参数化集合中运行，从对流允许的尺度降至大涡模拟（LES）尺度。基于LAFE观测和模式输出，LAFA有两个目标：1)确定水汽、温度和垂直速度波动的高阶矩廓线以及潜热通量廓线，并研究携带通量和方差的新的相似关系。为此，根据通量、方差和梯度之间的关系对LAFE结果进行分析。2)验证LES运行并改进中尺度模式中的湍流参数化。模型输出将直接与LAFE数据进行比较，从而可以用以前未实现的细节验证LES。这些结果将使人们了解LES在多大程度上可以用于湍流过程的分析和湍流参数化的推导。对模型在对流允许尺度上的输出，提取湍流参数化的相应参数和变量。WRF物理套件中可用的不同局部和非局部湍流参数化将被验证，它们的性能将被指定，并将开发和建议改进。因此，LAFA将有助于在下一代天气预报、气候和地球系统模式中对LA交换和CBL有更深入的了解和更准确的表示。