Boundary layer and mixing layer height: Models vs. Ground-based measurements intercomparison

IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Kajal Julaha, Vladimír Ždímal, Adéla Holubová Šmejkalová, Kateřina Komínková, Naděžda Zíková
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Abstract

Detailed characterization of the planetary boundary layer (PBL) and mixing layer height (MLH) is essential for gaining insights into air quality, pollutant dispersion, and the dynamics of the lower atmosphere. This research involves MLH from four atmospheric models—ERA5 (European Centre for Medium-Range Weather Forecasts Reanalysis v5), Reanalysis, GDAS (Global Data Assimilation System), and GFS (Global Forecast System), representing diverse approaches commonly applied in atmospheric research, mainly in air quality studies. The intercomparison analyzes the simulated MLH from the models, comparing them with observations from radiosondes and ceilometers to capture diurnal and seasonal variations in boundary layer dynamics. The study reveals significant diurnal and seasonal variations, with a close alignment between ERA5 boundary layer and ceilometer mixing layer observations, Reanalysis consistently underestimating MLH altitude, and both GFS and GDAS models demonstrating reasonable diurnal cycles of MLH. During summer, all models underestimate MLH compared to ceilometer observations by 34–42 %, while in winter, overestimation relative to ceilometer observations ranges from 11 to 20 %. Factors contributing to this discrepancy, including meteorological variables and synoptic situations, were examined. GFS and GDAS tend to overestimate global radiation after 12:00 but underestimate MLH, while ERA5 consistently underestimated both radiation and MLH. Dependence in agreement between models and ceilometer observations was also observed for various synoptic situations. The interconnected nature of atmospheric stability and turbulence, highlighted by Richardson number analysis, further emphasizes the importance of understanding turbulence patterns for accurate MLH predictions.
行星边界层(PBL)和混合层高度(MLH)的详细特征对于深入了解空气质量、污染物扩散和低层大气的动态变化至关重要。这项研究涉及四种大气模式--ERA5(欧洲中期天气预报中心再分析 v5)、再分析、GDAS(全球数据同化系统)和 GFS(全球预报系统)的 MLH,代表了大气研究(主要是空气质量研究)中常用的各种方法。相互比较分析了模型模拟的 MLH,并将其与无线电探空仪和天花板测量仪的观测数据进行比较,以捕捉边界层动力学的昼夜和季节变化。研究结果表明,ERA5 边界层与气压计混合层观测结果之间存在明显的昼夜和季节变化,Reanalysis 一直低估了 MLH 高度,而 GFS 和 GDAS 模式则显示出 MLH 合理的昼夜周期。在夏季,与气压计观测结果相比,所有模式都低估了 34-42%的 MLH,而在冬季,与气压计观测结果相比,高估了 11-20%。研究了造成这种差异的因素,包括气象变量和天气形势。GFS 和 GDAS 倾向于高估 12:00 后的全球辐射,但低估了 MLH,而 ERA5 始终低估了辐射和 MLH。在不同的天气形势下,还观测到了模式与气压计观测之间的一致性差异。理查森数分析强调了大气稳定性和湍流的相互关联性,进一步强调了了解湍流模式对准确预测 MLH 的重要性。
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来源期刊
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
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