车军辉^1,2,3,,
赵平^1,2,,,
史茜⁴,
杨秋彦³
1. 中国气象科学研究院灾害天气国家重点实验室, 北京 100081
2. 南京信息工程大学气象灾害预报预警与评估协同创新中心, 南京 210044
3. 山东省气象服务中心, 济南 250031
4. 山东省气象台, 济南 250031

基金项目: 国家重点研发计划项目"青藏高原地-气相互作用及其对下游天气气候的影响"（2018YFC1505700）和财政部/科技部公益性行业（气象）科研专项"第三次青藏高原科学试验——边界层与对流层观测"（GYHY201406001）联合资助


详细信息

作者简介: 车军辉, 博士研究生, 主要从事青藏高原气象学研究.E-mail: chejunhui9@163.com

通讯作者: 赵平, 研究员, 主要从事青藏高原气象学和季风研究.E-mail: zhaop@cma.gov.cn

中图分类号: P404

收稿日期:2020-02-20
修回日期:2020-06-29
上线日期:2021-03-10

Research progress in atmospheric boundary layer

CHE JunHui^1,2,3,,
ZHAO Ping^1,2,,,
SHI Qian⁴,
YANG QiuYan³
1. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
2. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China
3. Shandong Meteorological Service Center, Jinan 250031, China
4. Shandong Meteorological Observatory, Jinan 250031, China


More Information

Corresponding author: ZHAO Ping,E-mail:zhaop@cma.gov.cn

MSC: P404

--> Received Date: 20 February 2020
Revised Date: 29 June 2020
Available Online: 10 March 2021


摘要
摘要:大气边界层对云和对流的发展、演变有重要作用.本文回顾了在大气边界层高度计算方法，边界层的时空分布特征、结构和发展机理，以及边界层参数化方案等方面的主要研究进展.大气边界层高度计算方法主要分为基于大气廓线观测数据计算和基于模式参数化方案计算两大类；大气边界层高度频率分布形态具有明显的日变化特征，并且稳定、中性和对流边界层高度的频率分布呈现出不同的Gamma分布特征；地面湿度状况对边界层发展影响明显，对于不同的下垫面热力性质和地形状况，大气边界层高度呈现出明显的空间差异，青藏高原边界层高度明显高于一般平原地区；在强烈的地面加热驱动下，对流边界层与残余层通过正反馈机制循环增长可以形成4000 m以上的超高大气边界层；研制大气边界层、浅对流以及云物理方案的统一参数化框架是未来数值预报模式的发展趋势.
关键词: 大气边界层高度/
超高对流边界层/
边界层参数化方案

Abstract:The atmospheric boundary layer (ABL) plays an important role in the evolutions of cloud and convection. This article reviews research advances in the methodology of calculating the ABL height, the ABL spatial and temporal variations and structures, the physical mechanisms responsible for the ABL development and parameterizations. The calculation methods of the ABL height include two categories. One is based on observed atmospheric vertical profiles and another is based on parameterization schemes in numerical models. The frequency distribution of the ABL height shows a remarkable diurnal variation, and there are different Gamma distributions for the frequency of stable, neutral, and convective boundary layers. The moisture content at land surface exerts remarkable effects on the development of ABL. Corresponding to the different surface thermodynamic and terrain features, the ABL height shows the substantial horizontal heterogeneity. The ABL height is significantly higher over the Tibetan Plateau than over the plains. Under the influence of intense surface heating, the convective boundary layer and the residual layer may produce a super deep ABL above 4000 m through a positive feedback mechanism. The unified parameterization framework including atmospheric boundary layer, shallow convection, and cloud physical processes is the development trend of numerical forecast models in the future.
Key words:Atmospheric boundary layer height/
Super deep convective boundary layer/
Boundary-layer parameterization schemes



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