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EAGER: Identifying the Limitations of the Contemporary Planetary Boundary Layer Schemes Using an Extended Self-Similarity-based Framework

EAGER：使用扩展的基于自相似性的框架识别当代行星边界层方案的局限性

基本信息

批准号：
1632679
负责人：
Sukanta Basu
金额：
$ 6.32万
依托单位：
North Carolina State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-03-15 至 2017-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1632679&HistoricalAwards=false
关键词：
EAGER Identifying Limitations Contemporary Planetary

项目摘要

The atmospheric boundary layer (ABL) spans the lowest few hundred meters of the earth's atmosphere and intensively exchanges mass (e.g., moisture), momentum, and heat with the underlying surface. Wind fields in this turbulent layer play major roles in a wide range of industrial (e.g., stack gas dispersion, wind energy generation), biological (e.g., evapotranspiration, pollen transport, migrations of birds and insects), and natural (e.g., soil erosion, transport, and deposition) activities and processes. Mesoscale models in conjunction with robust planetary boundary layer (PBL) schemes are needed to reliably capture the dynamical evolution of the ABL. At present, rigorous benchmarks for the validation of PBL schemes do not exist in the literature. In this EAGER project, the project will research a novel scaling-based benchmarking approach based on the extended self-similarity (ESS) framework. The study has roots in the classical turbulence literature and it is expected to be quasi-universal in nature.Intellectual Merit:The salient features of this EAGER project are: (i) creation of an unparalleled simulated wind database using a suite of PBL schemes; and (ii) identification of the strengths and weaknesses of various PBL schemes utilizing the ESS framework. This research will not only improve the ability of contemporary mesoscale models to better capture the dynamics of wind fields, it will also make fundamental contributions to the field of classical turbulence.Broader Impacts:Through this EAGER project, a post-doctoral research associate will gain expertise in mesoscale modeling, and be exposed to the emerging field of scaling laws and self-similar processes. The findings from this project will be disseminated to the broad audience via peer reviewed publications, conference presentations and seminars.

大气边界层（ABL）跨越地球大气层的最低几百米，并且强烈地交换质量（例如，水分）、动量和热量与下伏表面的关系。该湍流层中的风场在大范围的工业（例如，烟道气分散，风能产生），生物（例如，蒸散、花粉运输、鸟类和昆虫的迁移），以及自然（例如，土壤侵蚀、迁移和沉积）活动和过程。中尺度模式结合强大的行星边界层（PBL）计划，需要可靠地捕捉ABL的动力学演变。目前，严格的基准PBL方案的验证不存在于文献中。在EAGER项目中，该项目将研究一种基于扩展自相似性（ESS）框架的新的基于标度的基准测试方法。这项研究植根于经典的湍流文献，预计将是准普遍的nature.Intellectual优点：EAGER项目的显着特点是：（i）创建一个无与伦比的模拟风数据库使用一套PBL计划;和（ii）利用ESS框架识别各种PBL计划的优点和缺点。这项研究不仅将提高当代中尺度模式更好地捕捉风场动力学的能力，还将为经典湍流领域做出根本性的贡献。更广泛的影响：通过EAGER项目，博士后研究助理将获得中尺度建模的专业知识，并接触到标度律和自相似过程的新兴领域。该项目的调查结果将通过同行审查的出版物、会议介绍和研讨会向广大受众传播。