Articles | Volume 22, issue 23
https://doi.org/10.5194/acp-22-15313-2022
https://doi.org/10.5194/acp-22-15313-2022
Research article
 | 
02 Dec 2022
Research article |  | 02 Dec 2022

Cluster-based characterization of multi-dimensional tropospheric ozone variability in coastal regions: an analysis of lidar measurements and model results

Claudia Bernier, Yuxuan Wang, Guillaume Gronoff, Timothy Berkoff, K. Emma Knowland, John T. Sullivan, Ruben Delgado, Vanessa Caicedo, and Brian Carroll

Related authors

From column to surface: connecting the performance in simulating aerosol optical properties and PM2.5 concentrations in the NASA GEOSCCM
Caterina Mogno, Peter R. Colarco, Allison B. Collow, Sampa Das, Sarah A. Strode, Vanessa Valenti, Michael E. Manyin, Qing Liang, Luke Oman, Stephen D. Steenrod, and K. Emma Knowland
EGUsphere, https://doi.org/10.5194/egusphere-2025-2354,https://doi.org/10.5194/egusphere-2025-2354, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Mid-Atlantic nocturnal low-level jet characteristics: a machine learning analysis of radar wind profiles
Maurice Roots, John T. Sullivan, and Belay Demoz
Atmos. Meas. Tech., 18, 1269–1282, https://doi.org/10.5194/amt-18-1269-2025,https://doi.org/10.5194/amt-18-1269-2025, 2025
Short summary
Modeling on the drought stress impact on the summertime biogenic isoprene emissions in South Korea
Yong-Cheol Jeong, Yuxuan Wang, Wei Li, Hyeonmin Kim, Rokjin J. Park, and Mahmoudreza Momeni
EGUsphere, https://doi.org/10.5194/egusphere-2024-3616,https://doi.org/10.5194/egusphere-2024-3616, 2025
Short summary
The Small Mobile Ozone Lidar (SMOL): instrument description and first results
Fernando Chouza, Thierry Leblanc, Patrick Wang, Steven S. Brown, Kristen Zuraski, Wyndom Chace, Caroline C. Womack, Jeff Peischl, John Hair, Taylor Shingler, and John Sullivan
Atmos. Meas. Tech., 18, 405–419, https://doi.org/10.5194/amt-18-405-2025,https://doi.org/10.5194/amt-18-405-2025, 2025
Short summary
An Unusual Winter Ozone Event in Colorado
Andrew O. Langford, Raul J. Alvarez II, Kenneth C. Aikin, Sunil Baidar, W. Alan Brewer, Steven S. Brown, Matthew M. Coggan, Patrick D. Cullis, Jessica Gilman, Georgios I. Gkatzelis, Detlev Helmig, Bryan J. Johnson, K. Emma Knowland, Rajesh Kumar, Aaron D. Lamplugh, Audra McClure-Begley, Brandi J. McCarty, Ann M. Middlebrook, Gabriele Pfister, Jeff Peischl, Irina Petropavlovskikh, Pamela S. Rickley, Andrew W. Rollins, Scott P. Sandberg, Christoph J. Senff, and Carsten Warneke
EGUsphere, https://doi.org/10.5194/egusphere-2024-1938,https://doi.org/10.5194/egusphere-2024-1938, 2024
Preprint withdrawn
Short summary

Related subject area

Subject: Gases | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Representing improved tropospheric ozone distribution over the Northern Hemisphere by including lightning NOx emissions in CHIMERE
Sanhita Ghosh, Arineh Cholakian, Sylvain Mailler, and Laurent Menut
Atmos. Chem. Phys., 25, 6273–6297, https://doi.org/10.5194/acp-25-6273-2025,https://doi.org/10.5194/acp-25-6273-2025, 2025
Short summary
Assessing the ability to quantify the decrease in NOx anthropogenic emissions in 2019 compared to 2005 using OMI and TROPOMI satellite observations
Audrey Fortems-Cheiney, Grégoire Broquet, Elise Potier, Antoine Berchet, Isabelle Pison, Adrien Martinez, Robin Plauchu, Rimal Abeed, Aurélien Sicsik-Paré, Gaelle Dufour, Adriana Coman, Dilek Savas, Guillaume Siour, Henk Eskes, Hugo A. C. Denier van der Gon, and Stijn N. C. Dellaert
Atmos. Chem. Phys., 25, 6047–6068, https://doi.org/10.5194/acp-25-6047-2025,https://doi.org/10.5194/acp-25-6047-2025, 2025
Short summary
Tracking daily NOx emissions from an urban agglomeration based on TROPOMI NO2 and a local ensemble transform Kalman filter
Yawen Kong, Bo Zheng, and Yuxi Liu
Atmos. Chem. Phys., 25, 5959–5976, https://doi.org/10.5194/acp-25-5959-2025,https://doi.org/10.5194/acp-25-5959-2025, 2025
Short summary
Evaluation of O3, H2O, CO, and NOy climatologies simulated by four global models in the upper troposphere–lower stratosphere with IAGOS measurements
Yann Cohen, Didier Hauglustaine, Nicolas Bellouin, Marianne Tronstad Lund, Sigrun Matthes, Agnieszka Skowron, Robin Thor, Ulrich Bundke, Andreas Petzold, Susanne Rohs, Valérie Thouret, Andreas Zahn, and Helmut Ziereis
Atmos. Chem. Phys., 25, 5793–5836, https://doi.org/10.5194/acp-25-5793-2025,https://doi.org/10.5194/acp-25-5793-2025, 2025
Short summary
Source contribution to ozone pollution during June 2021 fire events in Arizona: insights from WRF-Chem-tagged O3 and CO
Yafang Guo, Mohammad Amin Mirrezaei, Armin Sorooshian, and Avelino F. Arellano
Atmos. Chem. Phys., 25, 5591–5616, https://doi.org/10.5194/acp-25-5591-2025,https://doi.org/10.5194/acp-25-5591-2025, 2025
Short summary

Cited articles

Air Quality System: AQS observations data, United States EPA [data set], https://aqs.epa.gov/aqsweb/airdata/download_files.html (last access: 17 December 2020), 2018. 
Aksoy, S. and Haralick, R. M.: Feature normalization and likelihood‐based similarity measures for image retrieval, Pattern Recogn. Lett., 22, 563–582, https://doi.org/10.1016/s0167‐8655(00)00112‐4, 2001. 
Alonso, A. M., Berrendero, J. R., Hernández, A., and Justel, A.: Time Series Clustering Based on Forecast Densities, Comput. Stat. Data An., 51, 762–776., https://doi.org/10.1016/j.csda.2006.04.035, 2006. 
Banta, R. M., Senff, C. J., Nielsen-Gammon, J., Darby, L. S., Ryerson, T. B., Alvarez, R. J., Sandberg, S. P., Williams, E. J., and Trainer, M: A bad air day in Houston, B. Am. Meteorol. Soc., 86, 657–670. https://doi.org/10.1175/BAMS-86-5-657, 2005. 
Bernier, C.: GEOS-Chem model input, Harvard Dataverse [data set], https://doi.org/10.7910/DVN/V99LHT, 2022. 
Download
Short summary
Coastal regions are susceptible to variable and high ozone which is difficult to simulate. We developed a method to characterize large datasets of multi-dimensional measurements from lidar instruments taken in coastal regions. Using the clustered ozone groups, we evaluated model performance in simulating the coastal ozone variability vertically and diurnally. The approach allowed us to pinpoint areas where the models succeed in simulating coastal ozone and areas where there are still gaps.
Share
Altmetrics
Final-revised paper
Preprint