Articles | Volume 24, issue 20
https://doi.org/10.5194/acp-24-11477-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-11477-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Oct 2024
Research article |
| 15 Oct 2024
| 15 Oct 2024
The Paris low-level jet during PANAME 2022 and its impact on the summertime urban heat island
Jonnathan Céspedes
CORRESPONDING AUTHOR
Laboratoire de Météorologie Dynamique (LMD-IPSL), CNRS, École Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau CEDEX, France
Vaisala France SAS, 6A rue René Razel, 91400 Saclay, France
Simone Kotthaus
Laboratoire de Météorologie Dynamique (LMD-IPSL), CNRS, École Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau CEDEX, France
Jana Preissler
Vaisala France SAS, 6A rue René Razel, 91400 Saclay, France
Dhara Consulting Services, Darmstadt, Germany
Clément Toupoint
Vaisala France SAS, 6A rue René Razel, 91400 Saclay, France
Ludovic Thobois
Vaisala France SAS, 6A rue René Razel, 91400 Saclay, France
Marc-Antoine Drouin
LMD/IPSL, École Polytechnique, Institut Polytechnique de Paris, ENS, PSL Research University, Sorbonne Université, CNRS, Palaiseau France
Jean-Charles Dupont
Institut Pierre Simon Laplace (IPSL), Université Versailles Saint-Quentin-en Yvelines, Palaiseau CEDEX, France
Aurélien Faucheux
CEREA, École des Ponts ParisTech, EDF R&D, IPSL, 77455 Marne-la-Vallée, France
Martial Haeffelin
Institut Pierre Simon Laplace (IPSL), CNRS, Palaiseau CEDEX, France
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Total article views: 2,768 (including HTML, PDF, and XML)
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Cited
12 citations as recorded by crossref.
- Impact of boundary layer stability on urban park cooling effect intensity M. Haeffelin et al. https://doi.org/10.5194/acp-24-14101-2024
- The Prediction of Low-Level Jet Using Machine Learning Based on Turbulence Observations and Remote Sensing M. Chen et al. https://doi.org/10.3390/rs18030470
- Vertical thermodynamic profiling of tropospheric aerosol layers in a coastal Mediterranean city: A diagnostic case-study analysis using lidar and WRF simulations A. Chudnovsky et al. https://doi.org/10.1016/j.atmosenv.2026.122012
- The planetary boundary layer top as a valve: Unraveling bidirectional aerosol transport K. Cui et al. https://doi.org/10.1016/j.envres.2026.123986
- Hectometric-scale modelling of the mixed layer in an urban region evaluated with a dense LiDAR-ceilometer network R. Glazer et al. https://doi.org/10.5194/wcd-6-1723-2025
- Analysis of nocturnal urban heat advection using crowd weather stations J. Kittner et al. https://doi.org/10.1002/qj.5065
- Harmonised boundary layer wind profile dataset from six ground-based Doppler wind lidars in a transect across Paris, France W. Morrison et al. https://doi.org/10.5194/essd-17-6507-2025
- Doppler lidar observations of low-level jets and wind maxima over urban complex terrain in the southeastern Iberian Peninsula J. Andújar-Maqueda et al. https://doi.org/10.1016/j.uclim.2025.102744
- Characteristics of the Wind Field and Low-Level Jets in the Middle and Lower Troposphere over Chengdu, Southwest China T. Du et al. https://doi.org/10.3390/rs18111744
- Modelling of atmospheric variability in gas and aerosols during the ACROSS campaign 2022 of the greater Paris area: evaluation of the meteorology, dynamics and chemistry L. Di Antonio et al. https://doi.org/10.5194/acp-25-4803-2025
- Responses of surface and canopy heat islands to extreme temperatures: A synergistic analysis in the Beijing-Tianjin-Hebei urban agglomeration Y. Haiyi et al. https://doi.org/10.1016/j.uclim.2025.102712
- Assessing subkilometre‐scale weather models for an extreme heat event over Paris V. Kumar et al. https://doi.org/10.1002/qj.70193
12 citations as recorded by crossref.
- Impact of boundary layer stability on urban park cooling effect intensity M. Haeffelin et al. https://doi.org/10.5194/acp-24-14101-2024
- The Prediction of Low-Level Jet Using Machine Learning Based on Turbulence Observations and Remote Sensing M. Chen et al. https://doi.org/10.3390/rs18030470
- Vertical thermodynamic profiling of tropospheric aerosol layers in a coastal Mediterranean city: A diagnostic case-study analysis using lidar and WRF simulations A. Chudnovsky et al. https://doi.org/10.1016/j.atmosenv.2026.122012
- The planetary boundary layer top as a valve: Unraveling bidirectional aerosol transport K. Cui et al. https://doi.org/10.1016/j.envres.2026.123986
- Hectometric-scale modelling of the mixed layer in an urban region evaluated with a dense LiDAR-ceilometer network R. Glazer et al. https://doi.org/10.5194/wcd-6-1723-2025
- Analysis of nocturnal urban heat advection using crowd weather stations J. Kittner et al. https://doi.org/10.1002/qj.5065
- Harmonised boundary layer wind profile dataset from six ground-based Doppler wind lidars in a transect across Paris, France W. Morrison et al. https://doi.org/10.5194/essd-17-6507-2025
- Doppler lidar observations of low-level jets and wind maxima over urban complex terrain in the southeastern Iberian Peninsula J. Andújar-Maqueda et al. https://doi.org/10.1016/j.uclim.2025.102744
- Characteristics of the Wind Field and Low-Level Jets in the Middle and Lower Troposphere over Chengdu, Southwest China T. Du et al. https://doi.org/10.3390/rs18111744
- Modelling of atmospheric variability in gas and aerosols during the ACROSS campaign 2022 of the greater Paris area: evaluation of the meteorology, dynamics and chemistry L. Di Antonio et al. https://doi.org/10.5194/acp-25-4803-2025
- Responses of surface and canopy heat islands to extreme temperatures: A synergistic analysis in the Beijing-Tianjin-Hebei urban agglomeration Y. Haiyi et al. https://doi.org/10.1016/j.uclim.2025.102712
- Assessing subkilometre‐scale weather models for an extreme heat event over Paris V. Kumar et al. https://doi.org/10.1002/qj.70193
Saved (final revised paper)
Latest update: 11 Jun 2026
Short summary
The low-level jet (LLJ) is common in Paris during summer. The LLJ core height and speed significantly influence vertical mixing in the urban boundary layer, which affects air temperature variations between the urban canopy layer and surrounding rural areas, determining the urban heat island (UHI) intensity. This study highlights the importance of wind profile observations for understanding urban boundary layer dynamics and near-surface atmospheric conditions relevant to health.
The low-level jet (LLJ) is common in Paris during summer. The LLJ core height and speed...
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