藏东南林芝地区冬季大气边界层参数化方案适应性研究
收稿日期: 2023-06-01
修回日期: 2023-08-18
网络出版日期: 2023-09-25
基金资助
国家自然科学基金项目(42230610);国家科技专项(2019QZKK0103);四川省自然科学基金项目(2022NSFSC0217)
Parameterized Adaptation of the Winter Atmospheric Boundary Layer in the Nyingchi Region of Southeast Tibet
Received date: 2023-06-01
Revised date: 2023-08-18
Online published: 2023-09-25
Supported by
the National Natural Science Foundation of China(42230610);The Ministry of Science and Technology of China(2019QZKK0103);The Natural Science Foundation of Sichuan Province(2022NSFSC0217)
参数化方案的不确定使得数值模拟难以准确描述大气边界层过程，近年来受到研究人员的关注。采用WRF模式的YSU、ACM2、QNSE和Boulac 4种边界层方案对藏东南冬季大气边界层进行数值模拟试验，并利用2022年1月3~9日无线电探空观测资料，对大气边界层结构特征，包括位温、比湿、风向和风速，以及近地层、地表温度和热通量模式结果进行验证，分析研究不同边界层参数化方案在藏东南林芝地区的适用性。结果表明：ACM2方案对位温的模拟偏差最小。当对流交换较弱时，参数化方案对边界层模拟误差偏小。局地与非局地混合作用相比湍流动能对边界层发展贡献更大。对于边界层高度，TKE方案作用的影响大于非局地方案。对于比湿，模拟结果显示出明显的偏干现象。整体上BouLac方案与观测值最接近。对于地面气温和地面温度的模拟，各参数化方案的模拟值与观测值的变化趋势较为一致，其中ACM2方案效果最好。冬季潜热通量较小，感热通量起主导作用，BouLac方案在模拟热通量方面表现较好。
胥佩 , 李茂善 , 常娜 , 龚铭 , 伏薇 . 藏东南林芝地区冬季大气边界层参数化方案适应性研究[J]. 地球科学进展, 2023 , 38(9) : 954 -966 . DOI: 10.11867/j.issn.1001-8166.2023.053
The uncertainty of parameterization schemes makes it difficult for numerical simulations to describe atmospheric boundary layer processes accurately, and has, therefore, been the focus of many researchers in recent years. Four boundary layer schemes, namely the WRF model YSU, ACM2, QNSE, and BouLac, were used to conduct numerical simulation experiments on the atmospheric boundary layer in winter in Southeast Tibet. Radio sounding observations from January 3 to January 9, 2022, were used for validating the atmospheric boundary layer structural characteristics, including temperature, specific humidity, wind direction, wind speed, as well as the modeled results for the near-surface stratum, surface temperature, and heat fluxes. Subsequently, the applicability of different boundary layer parameterization schemes in Nyingchi, Southeast Tibet, was evaluated. Results show that the ACM2 scheme exhibits the smallest simulation deviation for the potential temperature. When convective exchange is weak, the parameterization scheme has a small boundary layer simulation error. Local versus nonlocal mixing contributes more to the boundary layer development than turbulent kinetic energy. For the boundary layer height, the effect of the TKE scheme is greater than that of the nonlocal scheme. For specific humidity, the simulations show significant drying out, and the BouLac scenario is overall the closest to the observations. For wind speed, simulations are more consistent with the observations. For the surface air temperature and surface temperature, the simulated values of the parameterized schemes are more consistent with the trend of the observed values, and the ACM2 scheme is the most effective. In winter, latent heat flux is low, sensible heat flux plays a dominant role, and the BouLac scheme simulates them most appropriately.
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