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Evaluation of retrieval methods for planetary boundary layer height based on radiosonde data
Atmospheric Measurement Techniques ( IF 3.8 ) Pub Date : 2021-09-03 , DOI: 10.5194/amt-14-5977-2021
Hui Li , Boming Liu , Xin Ma , Shikuan Jin , Yingying Ma , Yuefeng Zhao , Wei Gong

Radiosonde (RS) is widely used to detect the vertical structures of the planetary boundary layer (PBL), and numerous methods have been proposed for retrieving PBL height (PBLH) from RS data. However, an algorithm that is suitable under all atmospheric conditions does not exist. This study evaluates the performance of four common PBLH algorithms under different thermodynamic stability conditions based on RS data collected from nine sites in January–December 2019. The four RS algorithms are the potential temperature gradient method (GMθ), relative humidity (RH) gradient method (GMRH), parcel method (PM) and Richardson number method (RM). Atmospheric conditions are divided into convective boundary layer (CBL), neutral boundary layer (NBL) and stable boundary layer (SBL) on the basis of the potential temperature profile. Results indicate that SBL is dominant at nighttime, whilst CBL dominates at daytime. Under all and SBL classifications, PBLH retrieved by RM is typically higher than those retrieved using the other methods. On the contrary, the PBLH result retrieved by PM is the lowest. Under CBL and NBL classifications, PBLH retrieved by PM is the highest. PBLH retrieved by GMθ and GMRH is relatively low under all classifications. Moreover, the uncertainty analysis shows that the consistency of PBLH retrieved by different algorithms is more than 80 % under CBL and NBL classifications. By contrast, the consistency of PBLH is less than 60 % under SBL classification. The average profiles and standard deviations of wind speed and potential temperature under consistent and inconsistent conditions are also investigated. The results indicate that consistent cases are typically accompanied by evident atmospheric stratification, such as a large gradient in the potential temperature profile or a low-level jet in the wind speed profile. These results indicate that the reliability of the PBLH results retrieved from RS data is affected by the structure of the boundary layer. Overall, GMθ and RM are appropriate for CBL condition. GMθ and PM are recommended for NBL condition. GMθ and GMRH are robust for SBL condition. This comprehensive comparison provides a reference for selecting the appropriate algorithm when retrieving PBLH from RS data.

中文翻译:

基于探空仪资料的行星边界层高度反演方法评价

无线电探空仪 (RS) 被广泛用于检测行星边界层 (PBL) 的垂直结构,并且已经提出了许多用于从 RS 数据中检索 PBL 高度 (PBLH) 的方法。但是,不存在适用于所有大气条件的算法。本研究基于 2019 年 1 月至 12 月从九个站点收集的 RS 数据,评估了四种常见 PBLH 算法在不同热力学稳定性条件下的性能。 四种 RS 算法分别是位温梯度法 (GM θ )、相对湿度 (RH) 梯度方法(GM RH)、宗地法 (PM) 和理查森数法 (RM)。大气条件根据位温剖面分为对流边界层(CBL)、中性边界层(NBL)和稳定边界层(SBL)。结果表明,SBL 在夜间占主导地位,而 CBL 在白天占主导地位。在 all 和 SBL 分类下,RM 检索到的 PBLH 通常高于使用其他方法检索到的 PBLH。相反,PM检索到的PBLH结果最低。在CBL和NBL分类下,PM检索到的PBLH最高。GM θ和 GM RH检索到的 PBLH在所有分类下都相对较低。此外,不确定性分析表明,在CBL和NBL分类下,不同算法检索到的PBLH的一致性超过80%。相比之下,PBLH 在 SBL 分类下的一致性小于 60%。还研究了在一致和不一致条件下风速和潜在温度的平均剖面和标准偏差。结果表明,一致的情况通常伴随着明显的大气分层,例如位温剖面中的大梯度或风速剖面中的低空急流。这些结果表明,从 RS 数据中提取的 PBLH 结果的可靠性受边界层结构的影响。总体而言,GM θ和 RM 适用于 CBL 条件。GM θ和 PM 推荐用于 NBL 条件。GM θ和 GM RH对于 SBL 条件是稳健的。这种综合比较为从 RS 数据中检索 PBLH 时选择合适的算法提供了参考。
更新日期:2021-09-04
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