2025
Boundary layer and mixing layer height: Models vs. Ground-based measurements intercomparison
JULAHA, Kajal; Vladimír ŽDÍMAL; Adéla HOLUBOVÁ ŠMEJKALOVÁ; Kateřina KOMÍNKOVÁ; Naděžda ZÍKOVÁ et. al.Basic information
Original name
Boundary layer and mixing layer height: Models vs. Ground-based measurements intercomparison
Authors
JULAHA, Kajal; Vladimír ŽDÍMAL; Adéla HOLUBOVÁ ŠMEJKALOVÁ; Kateřina KOMÍNKOVÁ (203 Czech Republic, belonging to the institution) and Naděžda ZÍKOVÁ
Edition
Atmospheric Research, Elsevier Ltd, 2025, 0169-8095
Other information
Language
English
Type of outcome
Article in a journal
Field of Study
10509 Meteorology and atmospheric sciences
Country of publisher
United States of America
Confidentiality degree
is not subject to a state or trade secret
References:
Impact factor
Impact factor: 4.500 in 2023
Organization unit
Faculty of Science
UT WoS
001400282600001
EID Scopus
2-s2.0-85213857935
Keywords in English
Boundary layer; Mixing Layer; Ceilometer; Reanalysis; ERA5; HYSPLIT
Tags
Tags
International impact, Reviewed
Changed: 5/3/2025 10:39, Mgr. Marie Novosadová Šípková, DiS.
Abstract
V originále
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.
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