Articles | Volume 25, issue 9
https://doi.org/10.5194/acp-25-4639-2025
© Author(s) 2025. 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-25-4639-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 May 2025
Research article |
| 05 May 2025
| 05 May 2025
High-resolution air quality maps for Bucharest using a mixed-effects modeling framework
Camelia Talianu
CORRESPONDING AUTHOR
National Institute of Research and Development for Optoelectronics (INOE 2000), Str. Atomistilor 409, Măgurele, 077125, Ilfov, Romania
Institute of Meteorology and Climatology, Department of Water, Atmosphere and Environment, University of Natural Resources and Life Sciences, Gregor-Mendel Street 33, Vienna, 1180, Vienna, Austria
National Institute of Research and Development for Optoelectronics (INOE 2000), Str. Atomistilor 409, Măgurele, 077125, Ilfov, Romania
Doina Nicolae
CORRESPONDING AUTHOR
National Institute of Research and Development for Optoelectronics (INOE 2000), Str. Atomistilor 409, Măgurele, 077125, Ilfov, Romania
Alexandru Ilie
National Institute of Research and Development for Optoelectronics (INOE 2000), Str. Atomistilor 409, Măgurele, 077125, Ilfov, Romania
Faculty of Geography, University of Bucharest, Bulevardul Nicolae Bălcescu 1, Bucharest, 010041, Bucharest, Romania
Andrei Dandocsi
National Institute of Research and Development for Optoelectronics (INOE 2000), Str. Atomistilor 409, Măgurele, 077125, Ilfov, Romania
National University of Science and Technology POLITEHNICA Bucharest, Splaiul Independentei 313, Bucharest, 060042, Romania
Anca Nemuc
National Institute of Research and Development for Optoelectronics (INOE 2000), Str. Atomistilor 409, Măgurele, 077125, Ilfov, Romania
Livio Belegante
National Institute of Research and Development for Optoelectronics (INOE 2000), Str. Atomistilor 409, Măgurele, 077125, Ilfov, Romania
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Kalliopi Artemis Voudouri, Nikolaos Siomos, Konstantinos Michailidis, Nikolaos Papagiannopoulos, Lucia Mona, Carmela Cornacchia, Doina Nicolae, and Dimitris Balis
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Konstantinos Fragkos, Bogdan Antonescu, David M. Giles, Dragoş Ene, Mihai Boldeanu, Georgios A. Efstathiou, Livio Belegante, and Doina Nicolae
Atmos. Meas. Tech., 12, 1979–1997, https://doi.org/10.5194/amt-12-1979-2019, https://doi.org/10.5194/amt-12-1979-2019, 2019
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Nikolaos Papagiannopoulos, Lucia Mona, Aldo Amodeo, Giuseppe D'Amico, Pilar Gumà Claramunt, Gelsomina Pappalardo, Lucas Alados-Arboledas, Juan Luís Guerrero-Rascado, Vassilis Amiridis, Panagiotis Kokkalis, Arnoud Apituley, Holger Baars, Anja Schwarz, Ulla Wandinger, Ioannis Binietoglou, Doina Nicolae, Daniele Bortoli, Adolfo Comerón, Alejandro Rodríguez-Gómez, Michaël Sicard, Alex Papayannis, and Matthias Wiegner
Atmos. Chem. Phys., 18, 15879–15901, https://doi.org/10.5194/acp-18-15879-2018, https://doi.org/10.5194/acp-18-15879-2018, 2018
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Doina Nicolae, Jeni Vasilescu, Camelia Talianu, Ioannis Binietoglou, Victor Nicolae, Simona Andrei, and Bogdan Antonescu
Atmos. Chem. Phys., 18, 14511–14537, https://doi.org/10.5194/acp-18-14511-2018, https://doi.org/10.5194/acp-18-14511-2018, 2018
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Livio Belegante, Juan Antonio Bravo-Aranda, Volker Freudenthaler, Doina Nicolae, Anca Nemuc, Dragos Ene, Lucas Alados-Arboledas, Aldo Amodeo, Gelsomina Pappalardo, Giuseppe D'Amico, Francesco Amato, Ronny Engelmann, Holger Baars, Ulla Wandinger, Alexandros Papayannis, Panos Kokkalis, and Sérgio N. Pereira
Atmos. Meas. Tech., 11, 1119–1141, https://doi.org/10.5194/amt-11-1119-2018, https://doi.org/10.5194/amt-11-1119-2018, 2018
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This paper presents different depolarization calibration procedures used to improve the quality of the depolarization data. The results illustrate a significant improvement of the depolarization lidar products for all the selected EARLINET lidar instruments. The calibrated volume and particle depolarization profiles at 532 nm show values that fall within a range that is accepted in the literature. The depolarization accuracy estimate at 532 nm is better than ±0.03 for all cases.
Alexis Merlaud, Frederik Tack, Daniel Constantin, Lucian Georgescu, Jeroen Maes, Caroline Fayt, Florin Mingireanu, Dirk Schuettemeyer, Andreas Carlos Meier, Anja Schönardt, Thomas Ruhtz, Livio Bellegante, Doina Nicolae, Mirjam Den Hoed, Marc Allaart, and Michel Van Roozendael
Atmos. Meas. Tech., 11, 551–567, https://doi.org/10.5194/amt-11-551-2018, https://doi.org/10.5194/amt-11-551-2018, 2018
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We present SWING-UAV, an atmospheric observation system based on a compact scanning spectrometer (SWING) mounted on an unmanned aerial vehicle (UAV). SWING-UAV was operated in the exhaust plume of a power plant in Romania in September 2014, during the AROMAT campaign. SWING quantified the NO2 emitted by the plant and the water vapour content in the boundary layer, in agreement with ancillary data. The system appears in particular promising to study emissions in rural areas.
Andreas Carlos Meier, Anja Schönhardt, Tim Bösch, Andreas Richter, André Seyler, Thomas Ruhtz, Daniel-Eduard Constantin, Reza Shaiganfar, Thomas Wagner, Alexis Merlaud, Michel Van Roozendael, Livio Belegante, Doina Nicolae, Lucian Georgescu, and John Philip Burrows
Atmos. Meas. Tech., 10, 1831–1857, https://doi.org/10.5194/amt-10-1831-2017, https://doi.org/10.5194/amt-10-1831-2017, 2017
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We present airborne remote sensing measurements of NO2 in the urban area of Bucharest. NO2 is a harmful pollutant, which is emitted in combustion processes. The measurements presented here enable the creation of maps, showing the horizontal NO2 distribution across the whole city within a relatively short time window of 1.5 h. These data provide new insight into urban pollution levels and their spatial distribution.
Juan Antonio Bravo-Aranda, Livio Belegante, Volker Freudenthaler, Lucas Alados-Arboledas, Doina Nicolae, María José Granados-Muñoz, Juan Luis Guerrero-Rascado, Aldo Amodeo, Giusseppe D'Amico, Ronny Engelmann, Gelsomina Pappalardo, Panos Kokkalis, Rodanthy Mamouri, Alex Papayannis, Francisco Navas-Guzmán, Francisco José Olmo, Ulla Wandinger, Francesco Amato, and Martial Haeffelin
Atmos. Meas. Tech., 9, 4935–4953, https://doi.org/10.5194/amt-9-4935-2016, https://doi.org/10.5194/amt-9-4935-2016, 2016
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This work analyses the lidar polarizing sensitivity by means of the Stokes–Müller formalism and provides a new tool to quantify the systematic error of the volume linear depolarization ration (δ) using the Monte Carlo technique. Results evidence the importance of the lidar polarizing effects which can lead to systematic errors larger than 100 %. Additionally, we demonstrate that a proper lidar characterization helps to reduce the uncertainty.
María José Granados-Muñoz, Francisco Navas-Guzmán, Juan Luis Guerrero-Rascado, Juan Antonio Bravo-Aranda, Ioannis Binietoglou, Sergio Nepomuceno Pereira, Sara Basart, José María Baldasano, Livio Belegante, Anatoli Chaikovsky, Adolfo Comerón, Giuseppe D'Amico, Oleg Dubovik, Luka Ilic, Panos Kokkalis, Constantino Muñoz-Porcar, Slobodan Nickovic, Doina Nicolae, Francisco José Olmo, Alexander Papayannis, Gelsomina Pappalardo, Alejandro Rodríguez, Kerstin Schepanski, Michaël Sicard, Ana Vukovic, Ulla Wandinger, François Dulac, and Lucas Alados-Arboledas
Atmos. Chem. Phys., 16, 7043–7066, https://doi.org/10.5194/acp-16-7043-2016, https://doi.org/10.5194/acp-16-7043-2016, 2016
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This study provides a detailed overview of the Mediterranean region regarding aerosol microphysical properties during the ChArMEx/EMEP campaign in July 2012. An in-depth analysis of the horizontal, vertical, and temporal dimensions is performed using LIRIC, proving the algorithm's ability in automated retrieval of microphysical property profiles within a network. A validation of four dust models is included, obtaining fair good agreement, especially for the vertical distribution of the aerosol.
Anatoli Chaikovsky, Oleg Dubovik, Brent Holben, Andrey Bril, Philippe Goloub, Didier Tanré, Gelsomina Pappalardo, Ulla Wandinger, Ludmila Chaikovskaya, Sergey Denisov, Jan Grudo, Anton Lopatin, Yana Karol, Tatsiana Lapyonok, Vassilis Amiridis, Albert Ansmann, Arnoud Apituley, Lucas Allados-Arboledas, Ioannis Binietoglou, Antonella Boselli, Giuseppe D'Amico, Volker Freudenthaler, David Giles, María José Granados-Muñoz, Panayotis Kokkalis, Doina Nicolae, Sergey Oshchepkov, Alex Papayannis, Maria Rita Perrone, Alexander Pietruczuk, Francesc Rocadenbosch, Michaël Sicard, Ilya Slutsker, Camelia Talianu, Ferdinando De Tomasi, Alexandra Tsekeri, Janet Wagner, and Xuan Wang
Atmos. Meas. Tech., 9, 1181–1205, https://doi.org/10.5194/amt-9-1181-2016, https://doi.org/10.5194/amt-9-1181-2016, 2016
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This paper presents a detailed description of LIRIC (LIdar-Radiometer Inversion Code) algorithm for simultaneous processing of coincident lidar and radiometric observations for the retrieval of the aerosol concentrations. As the lidar/radiometric input data we use measurements from European Aerosol Research Lidar Network (EARLINET) lidars and collocated sun-photometers of Aerosol Robotic Network (AERONET). The LIRIC software package was implemented and tested at a number of EARLINET stations.
Ulla Wandinger, Volker Freudenthaler, Holger Baars, Aldo Amodeo, Ronny Engelmann, Ina Mattis, Silke Groß, Gelsomina Pappalardo, Aldo Giunta, Giuseppe D'Amico, Anatoli Chaikovsky, Fiodor Osipenko, Alexander Slesar, Doina Nicolae, Livio Belegante, Camelia Talianu, Ilya Serikov, Holger Linné, Friedhelm Jansen, Arnoud Apituley, Keith M. Wilson, Martin de Graaf, Thomas Trickl, Helmut Giehl, Mariana Adam, Adolfo Comerón, Constantino Muñoz-Porcar, Francesc Rocadenbosch, Michaël Sicard, Sergio Tomás, Diego Lange, Dhiraj Kumar, Manuel Pujadas, Francisco Molero, Alfonso J. Fernández, Lucas Alados-Arboledas, Juan Antonio Bravo-Aranda, Francisco Navas-Guzmán, Juan Luis Guerrero-Rascado, María José Granados-Muñoz, Jana Preißler, Frank Wagner, Michael Gausa, Ivan Grigorov, Dimitar Stoyanov, Marco Iarlori, Vincenco Rizi, Nicola Spinelli, Antonella Boselli, Xuan Wang, Teresa Lo Feudo, Maria Rita Perrone, Ferdinando De Tomasi, and Pasquale Burlizzi
Atmos. Meas. Tech., 9, 1001–1023, https://doi.org/10.5194/amt-9-1001-2016, https://doi.org/10.5194/amt-9-1001-2016, 2016
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We introduce the quality-assurance efforts of the European Aerosol Research Lidar Network (EARLINET) at instrument level. Within several campaigns, 21 EARLINET systems from 18 EARLINET stations were intercompared. A comprehensive strategy for campaign setup and data evaluation was established. The intercomparisons have reinforced our confidence in the EARLINET data quality and allowed us to draw conclusions on necessary system improvements and to identify major challenges for our future work.
L. Belegante, J. A. Bravo-Aranda, V. Freudenthaler, D. Nicolae, A. Nemuc, L. Alados-Arboledas, A. Amodeo, G. Pappalardo, G. D’Amico, R. Engelmann, H. Baars, U. Wandinger, A. Papayannis, P. Kokkalis, and S. N. Pereira
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2015-337, https://doi.org/10.5194/amt-2015-337, 2016
Revised manuscript has not been submitted
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This study aims to present techniques developed to calibrate the lidar depolarization channels.
The experimental approach of the paper is designed to present how calibration procedures are implemented. Most of the literature is focused on the theoretical perspective of the topic and practical issues usually remain an open topic. A hands on approach for the assessment of the lidar polarization sensitivity is welcomed since most of these techniques require comprehensive practical description.
M. Sicard, G. D'Amico, A. Comerón, L. Mona, L. Alados-Arboledas, A. Amodeo, H. Baars, J. M. Baldasano, L. Belegante, I. Binietoglou, J. A. Bravo-Aranda, A. J. Fernández, P. Fréville, D. García-Vizcaíno, A. Giunta, M. J. Granados-Muñoz, J. L. Guerrero-Rascado, D. Hadjimitsis, A. Haefele, M. Hervo, M. Iarlori, P. Kokkalis, D. Lange, R. E. Mamouri, I. Mattis, F. Molero, N. Montoux, A. Muñoz, C. Muñoz Porcar, F. Navas-Guzmán, D. Nicolae, A. Nisantzi, N. Papagiannopoulos, A. Papayannis, S. Pereira, J. Preißler, M. Pujadas, V. Rizi, F. Rocadenbosch, K. Sellegri, V. Simeonov, G. Tsaknakis, F. Wagner, and G. Pappalardo
Atmos. Meas. Tech., 8, 4587–4613, https://doi.org/10.5194/amt-8-4587-2015, https://doi.org/10.5194/amt-8-4587-2015, 2015
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In the framework of the ACTRIS summer 2012 measurement campaign (8 June–17 July 2012), EARLINET organized and performed a controlled exercise of feasibility to demonstrate its potential to perform operational, coordinated measurements and deliver products in near-real time. The paper describes the measurement protocol and discusses the delivery of real-time and near-real-time lidar-derived products.
I. Binietoglou, S. Basart, L. Alados-Arboledas, V. Amiridis, A. Argyrouli, H. Baars, J. M. Baldasano, D. Balis, L. Belegante, J. A. Bravo-Aranda, P. Burlizzi, V. Carrasco, A. Chaikovsky, A. Comerón, G. D'Amico, M. Filioglou, M. J. Granados-Muñoz, J. L. Guerrero-Rascado, L. Ilic, P. Kokkalis, A. Maurizi, L. Mona, F. Monti, C. Muñoz-Porcar, D. Nicolae, A. Papayannis, G. Pappalardo, G. Pejanovic, S. N. Pereira, M. R. Perrone, A. Pietruczuk, M. Posyniak, F. Rocadenbosch, A. Rodríguez-Gómez, M. Sicard, N. Siomos, A. Szkop, E. Terradellas, A. Tsekeri, A. Vukovic, U. Wandinger, and J. Wagner
Atmos. Meas. Tech., 8, 3577–3600, https://doi.org/10.5194/amt-8-3577-2015, https://doi.org/10.5194/amt-8-3577-2015, 2015
A. Nemuc, J. Vasilescu, C. Talianu, L. Belegante, and D. Nicolae
Atmos. Meas. Tech., 6, 3243–3255, https://doi.org/10.5194/amt-6-3243-2013, https://doi.org/10.5194/amt-6-3243-2013, 2013
Related subject area
Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Construction and application of a pollen emissions model based on phenology and random forests
The impact of uncertainty in black carbon's refractive index on simulated optical depth and radiative forcing
Characterization of brown carbon absorption in different European environments through source contribution analysis
Accounting for the black carbon aging process in a two-way coupled meteorology–air quality model
The effectiveness of solar radiation management using fine sea spray across multiple climatic regions
A global dust emission dataset for estimating dust radiative forcings in climate models
Tropospheric aerosols over the western North Atlantic Ocean during the winter and summer deployments of ACTIVATE 2020: life cycle, transport, and distribution
Spatial and temporal evolution of future atmospheric reactive nitrogen deposition in China under different climate change mitigation strategies
Steady-state mixing state of black carbon aerosols from a particle-resolved model
Distinctive dust weather intensities in North China resulted from two types of atmospheric circulation anomalies
Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories
Quasi-weekly oscillation of regional PM2.5 transport over China driven by the synoptic-scale disturbance of the East Asian winter monsoon circulation
Solar radiation estimation in West Africa: impact of dust conditions during the 2021 dry season
Machine Learning Assisted Inference of the Particle Charge Fraction and the Ion-induced Nucleation Rates during New Particle Formation Events
Gaps in our understanding of ice-nucleating particle sources exposed by global simulation of the UK Earth System Model
The role of interfacial tension in the size-dependent phase separation of atmospheric aerosol particles
Warming effects of reduced sulfur emissions from shipping
The key role of atmospheric absorption in the Asian summer monsoon response to dust emissions in CMIP6 models
Multi-model effective radiative forcing of the 2020 sulfur cap for shipping
Exploring the Aerosol Activation Properties in a Coastal Area Using Cloud and Particle-resolving Models
Representation of iron aerosol size distributions of anthropogenic emissions is critical in evaluating atmospheric soluble iron input to the ocean
Revealing dominant patterns of aerosol regimes in the lower troposphere and their evolution from preindustrial times to the future in global climate model simulations
A Novel Method to Quantify the Uncertainty Contribution of Aerosol-Radiative Interaction Factors
Improving estimation of a record-breaking east Asian dust storm emission with lagged aerosol Ångström exponent observations
Impact of biomass burning aerosols (BBA) on the tropical African climate in an ocean–atmosphere–aerosol coupled climate model
Retrieval of refractive index and water content for the coating materials of aged black carbon aerosol based on optical properties: a theoretical analysis
Impact of post monsoon crop residue burning on PM2.5 over North India: Optimizing emissions using a high-density in situ surface observation network
Predicting hygroscopic growth of organosulfur aerosol particles using COSMOtherm
Dust aerosol from the Aralkum Desert influences the radiation budget and atmospheric dynamics of Central Asia
Global modeling of aerosol nucleation with a semi-explicit chemical mechanism for highly oxygenated organic molecules (HOMs)
How to trace the origins of short-lived atmospheric species in the Arctic
Dust-producing weather patterns of the North American Great Plains
Synergistic effects of the winter North Atlantic Oscillation (NAO) and El Niño–Southern Oscillation (ENSO) on dust activities in North China during the following spring
Aerosol composition, air quality, and boundary layer dynamics in the urban background of Stuttgart in winter
Measurement report: Source attribution and estimation of black carbon levels in an urban hotspot of the central Po Valley – an integrated approach combining high-resolution dispersion modelling and micro-aethalometers
Modeling CMAQ dry deposition treatment over Western Pacific: A distinct characteristic of mineral dust and anthropogenic aerosol
Microphysical modelling of aerosol scavenging by different types of clouds: description and validation of the approach
Insights into the sources of ultrafine particle numbers at six European urban sites obtained by investigating COVID-19 lockdowns
In-plume and out-of-plume analysis of aerosol–cloud interactions derived from the 2014–2015 Holuhraun volcanic eruption
Impacts of atmospheric circulation patterns and cloud inhibition on aerosol radiative effect and boundary layer structure during winter air pollution in Sichuan Basin, China
Modeling simulation of aerosol light absorption over the Beijing-Tianjin-Hebei region: the impact of mixing state and aging processes
Investigating the sign of stratocumulus adjustments to aerosols in the ICON global storm-resolving model
A model study investigating the sensitivity of aerosol forcing to the volatilities of semi-volatile organic compounds
An Investigation of the Impact of Canadian wildfires on US Air Quality using Satellite, Model and Ground Measurements
Decomposing the effective radiative forcing of anthropogenic aerosols based on CMIP6 Earth system models
Modeling impacts of dust mineralogy on fast climate response
Uncertainties in laboratory-measured shortwave refractive indices of mineral dust aerosols and derived optical properties: a theoretical assessment
Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants
Role of atmospheric aerosols in severe winter fog over the Indo-Gangetic Plain of India: a case study
Long-term variability in black carbon emissions constrained by gap-filled absorption aerosol optical depth and associated premature mortality in China
Jiangtao Li, Xingqin An, Zhaobin Sun, Caihua Ye, Qing Hou, Yuxin Zhao, and Zhe Liu
Atmos. Chem. Phys., 25, 3583–3602, https://doi.org/10.5194/acp-25-3583-2025, https://doi.org/10.5194/acp-25-3583-2025, 2025
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Climate change and pollution have intensified pollen allergies. We developed a pollen emissions model using phenology and random forests. Key factors affecting annual pollen emissions include temperature, relative humidity and sunshine hours. Pollen dispersal starts around 10 August, peaks around 30 August and ends by 25 September, lasting about 45 d. Over time, annual pollen emissions exhibit significant fluctuations and a downward trend.
Ruth A. R. Digby, Knut von Salzen, Adam H. Monahan, Nathan P. Gillett, and Jiangnan Li
Atmos. Chem. Phys., 25, 3109–3130, https://doi.org/10.5194/acp-25-3109-2025, https://doi.org/10.5194/acp-25-3109-2025, 2025
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The refractive index of black carbon (BCRI), which determines how much energy black carbon absorbs and scatters, is difficult to measure, and different climate models use different values. We show that varying the BCRI across commonly used values can increase absorbing aerosol optical depth by 42 % and the warming effect from interactions between black carbon and radiation by 47 %, an appreciable fraction of the overall spread between models reported in recent literature assessments.
Hector Navarro-Barboza, Jordi Rovira, Vincenzo Obiso, Andrea Pozzer, Marta Via, Andres Alastuey, Xavier Querol, Noemi Perez, Marjan Savadkoohi, Gang Chen, Jesus Yus-Díez, Matic Ivancic, Martin Rigler, Konstantinos Eleftheriadis, Stergios Vratolis, Olga Zografou, Maria Gini, Benjamin Chazeau, Nicolas Marchand, Andre S. H. Prevot, Kaspar Dallenbach, Mikael Ehn, Krista Luoma, Tuukka Petäjä, Anna Tobler, Jaroslaw Necki, Minna Aurela, Hilkka Timonen, Jarkko Niemi, Olivier Favez, Jean-Eudes Petit, Jean-Philippe Putaud, Christoph Hueglin, Nicolas Pascal, Aurélien Chauvigné, Sébastien Conil, Marco Pandolfi, and Oriol Jorba
Atmos. Chem. Phys., 25, 2667–2694, https://doi.org/10.5194/acp-25-2667-2025, https://doi.org/10.5194/acp-25-2667-2025, 2025
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Brown carbon (BrC) absorbs ultraviolet (UV) and visible light, influencing climate. This study explores BrC's imaginary refractive index (k) using data from 12 European sites. Residential emissions are a major organic aerosol (OA) source in winter, while secondary organic aerosol (SOA) dominates in summer. Source-specific k values were derived, improving model accuracy. The findings highlight BrC's climate impact and emphasize source-specific constraints in atmospheric models.
Yuzhi Jin, Jiandong Wang, Chao Liu, David C. Wong, Golam Sarwar, Kathleen M. Fahey, Shang Wu, Jiaping Wang, Jing Cai, Zeyuan Tian, Zhouyang Zhang, Jia Xing, Aijun Ding, and Shuxiao Wang
Atmos. Chem. Phys., 25, 2613–2630, https://doi.org/10.5194/acp-25-2613-2025, https://doi.org/10.5194/acp-25-2613-2025, 2025
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Black carbon (BC) affects climate and the environment, and its aging process alters its properties. Current models, like WRF-CMAQ, lack full accounting for it. We developed the WRF-CMAQ-BCG model to better represent BC aging by introducing bare and coated BC species and their conversion. The WRF-CMAQ-BCG model introduces the capability to simulate BC mixing states and bare and coated BC wet deposition, and it improves the accuracy of BC mass concentration and aerosol optics.
Zhe Song, Shaocai Yu, Pengfei Li, Ningning Yao, Lang Chen, Yuhai Sun, Boqiong Jiang, and Daniel Rosenfeld
Atmos. Chem. Phys., 25, 2473–2494, https://doi.org/10.5194/acp-25-2473-2025, https://doi.org/10.5194/acp-25-2473-2025, 2025
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Our results with injected sea salt aerosols for five open oceans show that sea salt aerosols with low injection amounts dominate shortwave radiation, mainly through indirect effects. As indirect aerosol effects saturate with increasing injection rates, direct effects exceed indirect effects. This implies that marine cloud brightening is best implemented in areas with extensive cloud cover, while aerosol direct scattering effects remain dominant when clouds are scarce.
Danny M. Leung, Jasper F. Kok, Longlei Li, David M. Lawrence, Natalie M. Mahowald, Simone Tilmes, and Erik Kluzek
Atmos. Chem. Phys., 25, 2311–2331, https://doi.org/10.5194/acp-25-2311-2025, https://doi.org/10.5194/acp-25-2311-2025, 2025
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This study derives a gridded dust emission dataset for 1841–2000 by employing a combination of observed dust from core records and reanalyzed global dust cycle constraints. We evaluate the ability of global models to replicate the observed historical dust variability by using the emission dataset to force a historical simulation in an Earth system model. We show that prescribing our emissions forces the model to better match observations than other mechanistic models.
Hongyu Liu, Bo Zhang, Richard H. Moore, Luke D. Ziemba, Richard A. Ferrare, Hyundeok Choi, Armin Sorooshian, David Painemal, Hailong Wang, Michael A. Shook, Amy Jo Scarino, Johnathan W. Hair, Ewan C. Crosbie, Marta A. Fenn, Taylor J. Shingler, Chris A. Hostetler, Gao Chen, Mary M. Kleb, Gan Luo, Fangqun Yu, Mark A. Vaughan, Yongxiang Hu, Glenn S. Diskin, John B. Nowak, Joshua P. DiGangi, Yonghoon Choi, Christoph A. Keller, and Matthew S. Johnson
Atmos. Chem. Phys., 25, 2087–2121, https://doi.org/10.5194/acp-25-2087-2025, https://doi.org/10.5194/acp-25-2087-2025, 2025
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We use the GEOS-Chem model to simulate aerosol distributions and properties over the western North Atlantic Ocean (WNAO) during the winter and summer deployments in 2020 of the NASA ACTIVATE mission. Model results are evaluated against aircraft, ground-based, and satellite observations. The improved understanding of life cycle, composition, transport pathways, and distribution of aerosols has important implications for characterizing aerosol–cloud–meteorology interactions over WNAO.
Mingrui Ma, Jiachen Cao, Dan Tong, Bo Zheng, and Yu Zhao
Atmos. Chem. Phys., 25, 2147–2166, https://doi.org/10.5194/acp-25-2147-2025, https://doi.org/10.5194/acp-25-2147-2025, 2025
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We combined two global climate change pathways and three national emission control scenarios to analyze the future evolution of reactive nitrogen (Nr) deposition till the 2060s in China with air quality modeling. We show China’s clean air and carbon neutrality policies would overcome the adverse effects of climate change and efficiently reduce Nr deposition. The outflow of Nr fluxes from mainland China to the west Pacific would also be clearly reduced from continuous stringent emission controls.
Zhouyang Zhang, Jiandong Wang, Jiaping Wang, Nicole Riemer, Chao Liu, Yuzhi Jin, Zeyuan Tian, Jing Cai, Yueyue Cheng, Ganzhen Chen, Bin Wang, Shuxiao Wang, and Aijun Ding
Atmos. Chem. Phys., 25, 1869–1881, https://doi.org/10.5194/acp-25-1869-2025, https://doi.org/10.5194/acp-25-1869-2025, 2025
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Black carbon (BC) exerts notable warming effects. We use a particle-resolved model to investigate the long-term behavior of the BC mixing state, revealing its compositions, coating thickness distribution, and optical properties all stabilize with a characteristic time of less than 1 d. This study can effectively simplify the description of the BC mixing state, which facilitates the precise assessment of the optical properties of BC aerosols in global and chemical transport models.
Qianyi Huo, Zhicong Yin, Xiaoqing Ma, and Huijun Wang
Atmos. Chem. Phys., 25, 1711–1724, https://doi.org/10.5194/acp-25-1711-2025, https://doi.org/10.5194/acp-25-1711-2025, 2025
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Dust days during the spring seasons of 2015–2023 in North China were classified into Mongolian cyclone and cold high types depending on the presence of the Mongolian cyclone. The Mongolian cyclone type led to more frequent and severe dust weather, indicated by PM10 concentrations. To comprehensively forecast the two types of dust weather, a common predictor was established based on 500 hPa anomalous circulation systems, offering insights for dust weather forecasting and climate prediction.
Mariya Petrenko, Ralph Kahn, Mian Chin, Susanne E. Bauer, Tommi Bergman, Huisheng Bian, Gabriele Curci, Ben Johnson, Johannes W. Kaiser, Zak Kipling, Harri Kokkola, Xiaohong Liu, Keren Mezuman, Tero Mielonen, Gunnar Myhre, Xiaohua Pan, Anna Protonotariou, Samuel Remy, Ragnhild Bieltvedt Skeie, Philip Stier, Toshihiko Takemura, Kostas Tsigaridis, Hailong Wang, Duncan Watson-Parris, and Kai Zhang
Atmos. Chem. Phys., 25, 1545–1567, https://doi.org/10.5194/acp-25-1545-2025, https://doi.org/10.5194/acp-25-1545-2025, 2025
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We compared smoke plume simulations from 11 global models to each other and to satellite smoke amount observations aimed at constraining smoke source strength. In regions where plumes are thick and background aerosol is low, models and satellites compare well. However, the input emission inventory tends to underestimate in many places, and particle property and loss rate assumptions vary enormously among models, causing uncertainties that require systematic in situ measurements to resolve.
Yongqing Bai, Tianliang Zhao, Kai Meng, Yue Zhou, Jie Xiong, Xiaoyun Sun, Lijuan Shen, Yanyu Yue, Yan Zhu, Weiyang Hu, and Jingyan Yao
Atmos. Chem. Phys., 25, 1273–1287, https://doi.org/10.5194/acp-25-1273-2025, https://doi.org/10.5194/acp-25-1273-2025, 2025
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We proposed a composite statistical method to identify the quasi-weekly oscillation (QWO) of regional PM2.5 transport over China in winter from 2015 to 2019. The QWO of regional PM2.5 transport is constrained by synoptic-scale disturbances of the East Asian winter monsoon circulation with the periodic activities of the Siberian high, providing a new insight into the understanding of regional pollutant transport with meteorological drivers in atmospheric environment changes.
Léo Clauzel, Sandrine Anquetin, Christophe Lavaysse, Gilles Bergametti, Christel Bouet, Guillaume Siour, Rémy Lapere, Béatrice Marticorena, and Jennie Thomas
Atmos. Chem. Phys., 25, 997–1021, https://doi.org/10.5194/acp-25-997-2025, https://doi.org/10.5194/acp-25-997-2025, 2025
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Solar energy production in West Africa is set to rise and needs accurate solar radiation estimates which are affected by desert dust. This work analyses a March 2021 dust event using a modelling strategy incorporating desert dust. Results show that considering desert dust cuts errors in solar radiation estimates by 75 % and reduces surface solar radiation by 18 %. This highlights the importance of incorporating dust aerosols into solar forecasting for better accuracy.
Pan Wang, Yue Zhao, Jiandong Wang, Veli-Matti Kerminen, Jingkun Jiang, and Chenxi Li
EGUsphere, https://doi.org/10.5194/egusphere-2024-3666, https://doi.org/10.5194/egusphere-2024-3666, 2025
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We developed a numerical model to explore how the charge state of newly formed atmospheric particles evolves during growth and how this relates to ion-induced nucleation rates. We identify the governing factors of particle charging and further apply neural networks to predict particle charge states and estimate ion induced nucleation rates. This study offers insights into particle charging dynamics and introduces new methods for assessing ion induced nucleation in atmospheric research.
Ross J. Herbert, Alberto Sanchez-Marroquin, Daniel P. Grosvenor, Kirsty J. Pringle, Stephen R. Arnold, Benjamin J. Murray, and Kenneth S. Carslaw
Atmos. Chem. Phys., 25, 291–325, https://doi.org/10.5194/acp-25-291-2025, https://doi.org/10.5194/acp-25-291-2025, 2025
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Aerosol particles that help form ice in clouds vary in number and type around the world and with time. However, in many weather and climate models cloud ice is not linked to aerosols that are known to nucleate ice. Here we report the first steps towards representing ice-nucleating particles within the UK Earth System Model. We conclude that in addition to ice nucleation by sea spray and mineral components of soil dust, we also need to represent ice nucleation by the organic components of soils.
Ryan Schmedding and Andreas Zuend
Atmos. Chem. Phys., 25, 327–346, https://doi.org/10.5194/acp-25-327-2025, https://doi.org/10.5194/acp-25-327-2025, 2025
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Four different approaches for computing the interfacial tension between liquid phases in aerosol particles were tested for particles with diameters from 10 nm to more than 5 μm. Antonov's rule led to the strongest reductions in the onset relative humidity of liquid–liquid phase separation and reproduced measured interfacial tensions for highly immiscible systems. A modified form of the Butler equation was able to best reproduce measured interfacial tensions in more miscible systems.
Masaru Yoshioka, Daniel P. Grosvenor, Ben B. B. Booth, Colin P. Morice, and Ken S. Carslaw
Atmos. Chem. Phys., 24, 13681–13692, https://doi.org/10.5194/acp-24-13681-2024, https://doi.org/10.5194/acp-24-13681-2024, 2024
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A 2020 regulation has reduced sulfur emissions from shipping by about 80 %, leading to a decrease in atmospheric aerosols that have a cooling effect primarily by affecting cloud properties and amounts. Our climate model simulations predict a global temperature increase of 0.04 K over the next 3 decades as a result, which could contribute to surpassing the Paris Agreement's 1.5 °C target. Reduced aerosols may have also contributed to the recent temperature spikes.
Alcide Zhao, Laura J. Wilcox, and Claire L. Ryder
Atmos. Chem. Phys., 24, 13385–13402, https://doi.org/10.5194/acp-24-13385-2024, https://doi.org/10.5194/acp-24-13385-2024, 2024
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Climate models include desert dust aerosols, which cause atmospheric heating and can change circulation patterns. We assess the effect of dust on the Indian and east Asian summer monsoons through multi-model experiments isolating the effect of dust in current climate models for the first time. Dust atmospheric heating results in a southward shift of western Pacific equatorial rainfall and an enhanced Indian summer monsoon. This shows the importance of accurate dust representation in models.
Ragnhild Bieltvedt Skeie, Rachael Byrom, Øivind Hodnebrog, Caroline Jouan, and Gunnar Myhre
Atmos. Chem. Phys., 24, 13361–13370, https://doi.org/10.5194/acp-24-13361-2024, https://doi.org/10.5194/acp-24-13361-2024, 2024
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In 2020, new regulations by the International Maritime Organization regarding sulfur emissions came into force, reducing emissions of SO2 from the shipping sector by approximately 80 %. In this study, we use multiple models to calculate how much the Earth energy balance changed due to the emission reduction or the so-called effective radiative forcing. The calculated effective radiative forcing is weak, comparable to the effect of the increase in CO2 over the last 2 to 3 years.
Ge Yu, Yueya Wang, Zhe Wang, and Xiaoming Shi
EGUsphere, https://doi.org/10.5194/egusphere-2024-3581, https://doi.org/10.5194/egusphere-2024-3581, 2024
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Studying the cloud-forming capacity of aerosols is crucial in climate research. The PartMC model can provide detailed particle information and help these studies. This model is integrated with the ideal meteorological Cloud Model 1 (CM1) to simulate the aerosols at cloud-forming locations. Significant changes are revealed in the hygroscopicity distribution of aerosols within ascending air parcels. Additionally, different ascent times also affect aerosol aging processes.
Mingxu Liu, Hitoshi Matsui, Douglas S. Hamilton, Sagar D. Rathod, Kara D. Lamb, and Natalie M. Mahowald
Atmos. Chem. Phys., 24, 13115–13127, https://doi.org/10.5194/acp-24-13115-2024, https://doi.org/10.5194/acp-24-13115-2024, 2024
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Atmospheric aerosol deposition provides bioavailable iron to promote marine primary production, yet the estimates of its fluxes remain highly uncertain. This study, by performing global aerosol simulations, demonstrates that iron-containing particle size upon emission is a critical factor in regulating soluble iron input to open oceans. Further observational constraints on this are needed to reduce modeling uncertainties.
Jingmin Li, Mattia Righi, Johannes Hendricks, Christof G. Beer, Ulrike Burkhardt, and Anja Schmidt
Atmos. Chem. Phys., 24, 12727–12747, https://doi.org/10.5194/acp-24-12727-2024, https://doi.org/10.5194/acp-24-12727-2024, 2024
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Aiming to understand underlying patterns and trends in aerosols, we characterize the spatial patterns and long-term evolution of lower tropospheric aerosols by clustering multiple aerosol properties from preindustrial times to the year 2050 under three Shared
Socioeconomic Pathway scenarios. The results provide a clear and condensed picture of the spatial extent and distribution of aerosols for different time periods and emission scenarios.
Socioeconomic Pathway scenarios. The results provide a clear and condensed picture of the spatial extent and distribution of aerosols for different time periods and emission scenarios.
Bishuo He and Chunsheng Zhao
EGUsphere, https://doi.org/10.5194/egusphere-2024-3441, https://doi.org/10.5194/egusphere-2024-3441, 2024
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Factor-uncertainty analysis helps us understand their impacts on complex systems. Traditional methods have many limitations. This study introduces a new method to measure how each factor contributes to uncertainty. It gains insights into the role of each variable and works for all multi-factor systems. As an application, we analyzed how aerosols affect solar radiation and identified the key factors. These analyses can improve our understanding of the role of aerosols in climate change.
Yueming Cheng, Tie Dai, Junji Cao, Daisuke Goto, Jianbing Jin, Teruyuki Nakajima, and Guangyu Shi
Atmos. Chem. Phys., 24, 12643–12659, https://doi.org/10.5194/acp-24-12643-2024, https://doi.org/10.5194/acp-24-12643-2024, 2024
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In March 2021, east Asia experienced an outbreak of severe dust storms after an absence of 1.5 decades. Here, we innovatively used the time-lagged ground-based aerosol size information with the fixed-lag ensemble Kalman smoother to optimize dust emission and reproduce the dust storm. This work is valuable for not only the quantification of health damage, aviation risks, and profound impacts on the Earth's system but also revealing the climatic driving force and the process of desertification.
Marc Mallet, Aurore Voldoire, Fabien Solmon, Pierre Nabat, Thomas Drugé, and Romain Roehrig
Atmos. Chem. Phys., 24, 12509–12535, https://doi.org/10.5194/acp-24-12509-2024, https://doi.org/10.5194/acp-24-12509-2024, 2024
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This study investigates the interactions between smoke aerosols and climate in tropical Africa using a coupled ocean–atmosphere–aerosol climate model. The work shows that smoke plumes have a significant impact by increasing the low-cloud fraction, decreasing the ocean and continental surface temperature and reducing the precipitation of coastal western Africa. It also highlights the role of the ocean temperature response and its feedbacks for the September–November season.
Jia Liu, Cancan Zhu, Donghui Zhou, and Jinbao Han
Atmos. Chem. Phys., 24, 12341–12354, https://doi.org/10.5194/acp-24-12341-2024, https://doi.org/10.5194/acp-24-12341-2024, 2024
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The hydrophilic coatings of aged black carbon (BC) particles absorb moisture during the hygroscopic growth process, but it is difficult to characterize how much water is absorbed under different relative humidities (RHs). In this study, we propose a method to obtain the water content in the coatings based on the equivalent complex refractive index retrieved from optical properties. This method is verified from a theoretical perspective, and it performs well for thickly coated BC at high RHs.
Mizuo Kajino, Kentaro Ishijima, Joseph Ching, Kazuyo Yamaji, Rio Ishikawa, Tomoki Kajikawa, Tanbir Singh, Tomoki Nakayama, Yutaka Matsumi, Koyo Kojima, Prabir K. Patra, and Sachiko Hayashida
EGUsphere, https://doi.org/10.5194/egusphere-2024-1811, https://doi.org/10.5194/egusphere-2024-1811, 2024
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Air pollution in Delhi during post monsoon period is severe and association with intensive crop residue burning (CRB) over Punjab state has attracted attention. However, the relationship has been unclear as the CRB emissions conventionally derived from satellites were underestimated due to clouds and haze over the region. We evaluated the impact of CRB on PM2.5 as about 50 %, based on a combination of numerical modeling and high-density observation network using low-cost sensors we installed.
Zijun Li, Angela Buchholz, and Noora Hyttinen
Atmos. Chem. Phys., 24, 11717–11725, https://doi.org/10.5194/acp-24-11717-2024, https://doi.org/10.5194/acp-24-11717-2024, 2024
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Evaluating organosulfur (OS) hygroscopicity is important for assessing aerosol–cloud climate interactions in the post-fossil-fuel future, when SO2 emissions decrease and OS compounds become increasingly important. Here a state-of-the-art quantum-chemistry-based method was used to predict the hygroscopic growth factors (HGFs) of a group of atmospherically relevant OS compounds and their mixtures with (NH4)2SO4. A good agreement was observed between their model-estimated and experimental HGFs.
Jamie R. Banks, Bernd Heinold, and Kerstin Schepanski
Atmos. Chem. Phys., 24, 11451–11475, https://doi.org/10.5194/acp-24-11451-2024, https://doi.org/10.5194/acp-24-11451-2024, 2024
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The Aralkum is a new desert in Central Asia formed by the desiccation of the Aral Sea. This has created a source of atmospheric dust, with implications for the balance of solar and thermal radiation. Simulating these effects using a dust transport model, we find that Aralkum dust adds radiative cooling effects to the surface and atmosphere on average but also adds heating events. Increases in surface pressure due to Aralkum dust strengthen the Siberian High and weaken the summer Asian heat low.
Xinyue Shao, Minghuai Wang, Xinyi Dong, Yaman Liu, Wenxiang Shen, Stephen R. Arnold, Leighton A. Regayre, Meinrat O. Andreae, Mira L. Pöhlker, Duseong S. Jo, Man Yue, and Ken S. Carslaw
Atmos. Chem. Phys., 24, 11365–11389, https://doi.org/10.5194/acp-24-11365-2024, https://doi.org/10.5194/acp-24-11365-2024, 2024
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Highly oxygenated organic molecules (HOMs) play an important role in atmospheric new particle formation (NPF). By semi-explicitly coupling the chemical mechanism of HOMs and a comprehensive nucleation scheme in a global climate model, the updated model shows better agreement with measurements of nucleation rate, growth rate, and NPF event frequency. Our results reveal that HOM-driven NPF leads to a considerable increase in particle and cloud condensation nuclei burden globally.
Anderson Da Silva, Louis Marelle, Jean-Christophe Raut, Yvette Gramlich, Karolina Siegel, Sophie L. Haslett, Claudia Mohr, and Jennie L. Thomas
EGUsphere, https://doi.org/10.5194/egusphere-2024-2839, https://doi.org/10.5194/egusphere-2024-2839, 2024
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Particles sources in polar climates are unclear, affecting climate representation in models. This study introduces an evaluated method for tracking particles with backtrajectory modeling. Tests on simulated particles allowed to show that traditional detection methods often misidentify sources. An improved method that accurately traces origins of aerosol particles in the Arctic is presented. The study recommends using this enhanced method for better source identification of atmospheric species.
Stuart Evans
EGUsphere, https://doi.org/10.5194/egusphere-2024-2820, https://doi.org/10.5194/egusphere-2024-2820, 2024
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This study of the North American Great Plains identifies the various weather patterns responsible for blowing dust in all parts of the region using a weather pattern classification. In the southwest plains passing cold fronts are the primary cause of dust; in the understudied northern plains, summertime patterns and southerly pre-frontal winds are most important in the west and east, respectively. These results are valuable to understanding and forecasting dust in this complex source region.
Falei Xu, Shuang Wang, Yan Li, and Juan Feng
Atmos. Chem. Phys., 24, 10689–10705, https://doi.org/10.5194/acp-24-10689-2024, https://doi.org/10.5194/acp-24-10689-2024, 2024
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This study examines how the winter North Atlantic Oscillation (NAO) and El Niño–Southern Oscillation (ENSO) affect dust activities in North China during the following spring. The results show that the NAO and ENSO, particularly in their negative phases, greatly influence dust activities. When both are negative, their combined effect on dust activities is even greater. This research highlights the importance of these climate patterns in predicting spring dust activities in North China.
Hengheng Zhang, Wei Huang, Xiaoli Shen, Ramakrishna Ramisetty, Junwei Song, Olga Kiseleva, Christopher Claus Holst, Basit Khan, Thomas Leisner, and Harald Saathoff
Atmos. Chem. Phys., 24, 10617–10637, https://doi.org/10.5194/acp-24-10617-2024, https://doi.org/10.5194/acp-24-10617-2024, 2024
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Our study unravels how stagnant winter conditions elevate aerosol levels in Stuttgart. Cloud cover at night plays a pivotal role, impacting morning air quality. Validating a key model, our findings aid accurate air quality predictions, crucial for effective pollution mitigation in urban areas.
Giorgio Veratti, Alessandro Bigi, Michele Stortini, Sergio Teggi, and Grazia Ghermandi
Atmos. Chem. Phys., 24, 10475–10512, https://doi.org/10.5194/acp-24-10475-2024, https://doi.org/10.5194/acp-24-10475-2024, 2024
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In a study of two consecutive winter seasons, we used measurements and modelling tools to identify the levels and sources of black carbon pollution in a medium-sized urban area of the Po Valley, Italy. Our findings show that biomass burning and traffic-related emissions (especially from Euro 4 diesel cars) significantly contribute to BC concentrations. This research offers crucial insights for policymakers and urban planners aiming to improve air quality in cities.
Steven Soon-Kai Kong, Joshua S. Fu, Neng-Huei Lin, Guey-Rong Sheu, and Wei-Syun Huang
EGUsphere, https://doi.org/10.5194/egusphere-2024-2549, https://doi.org/10.5194/egusphere-2024-2549, 2024
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The accuracy of the chemical transport model, a key focus of our research, is strongly dependent on the dry deposition parameterization. Our finding shows that the refined CMAQ dust model correlated well with the ground and high altitude in-situ measurements by implementing the suggested dry deposition schemes. Furthermore, we reveal the mixing state of two types of aerosols at the upper level, a finding supported by both the optimized model and measurement.
Pascal Lemaitre, Arnaud Quérel, Alexis Dépée, Alice Guerra Devigne, Marie Monier, Thibault Hiron, Chloé Soto Minguez, Daniel Hardy, and Andrea Flossmann
Atmos. Chem. Phys., 24, 9713–9732, https://doi.org/10.5194/acp-24-9713-2024, https://doi.org/10.5194/acp-24-9713-2024, 2024
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A new in-cloud scavenging scheme is proposed. It is based on a microphysical model of cloud formation and may be applied to long-distance atmospheric transport models (> 100 km) and climatic models. This model is applied to the two most extreme precipitating cloud types in terms of both relative humidity and vertical extension: cumulonimbus and stratus.
Alex Rowell, James Brean, David C. S. Beddows, Tuukka Petäjä, Máté Vörösmarty, Imre Salma, Jarkko V. Niemi, Hanna E. Manninen, Dominik van Pinxteren, Thomas Tuch, Kay Weinhold, Zongbo Shi, and Roy M. Harrison
Atmos. Chem. Phys., 24, 9515–9531, https://doi.org/10.5194/acp-24-9515-2024, https://doi.org/10.5194/acp-24-9515-2024, 2024
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Different sources of airborne particles in the atmospheres of four European cities were distinguished by recognising their particle size distributions using a statistical procedure, positive matrix factorisation. The various sources responded differently to the changes in emissions associated with COVID-19 lockdowns, and the reasons are investigated. While traffic emissions generally decreased, particles formed from reactions of atmospheric gases decreased in some cities but increased in others.
Amy H. Peace, Ying Chen, George Jordan, Daniel G. Partridge, Florent Malavelle, Eliza Duncan, and Jim M. Haywood
Atmos. Chem. Phys., 24, 9533–9553, https://doi.org/10.5194/acp-24-9533-2024, https://doi.org/10.5194/acp-24-9533-2024, 2024
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Natural aerosols from volcanic eruptions can help us understand how anthropogenic aerosols modify climate. We use observations and model simulations of the 2014–2015 Holuhraun eruption plume to examine aerosol–cloud interactions in September 2014. We find a shift to clouds with smaller, more numerous cloud droplets in the first 2 weeks of the eruption. In the third week, the background meteorology and previous conditions experienced by air masses modulate the aerosol perturbation to clouds.
Hua Lu, Min Xie, Bingliang Zhuang, Danyang Ma, Bojun Liu, Yangzhihao Zhan, Tijian Wang, Shu Li, Mengmeng Li, and Kuanguang Zhu
Atmos. Chem. Phys., 24, 8963–8982, https://doi.org/10.5194/acp-24-8963-2024, https://doi.org/10.5194/acp-24-8963-2024, 2024
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To identify cloud, aerosol, and planetary boundary layer (PBL) interactions from an air quality perspective, we summarized two pollution patterns characterized by denser liquid cloud and by obvious cloud radiation interaction (CRI). Numerical simulation experiments showed CRI could cause a 50 % reduction in aerosol radiation interaction (ARI) under a low-trough system. The results emphasized the nonnegligible role of CRI and its inhibition of ARI under wet and cloudy pollution synoptic patterns.
Huiyun Du, Jie Li, Xueshun Chen, Gabriele Curci, Fangqun Yu, Yele Sun, Xu Dao, Song Guo, Zhe Wang, Wenyi Yang, Lianfang Wei, and Zifa Wang
EGUsphere, https://doi.org/10.5194/egusphere-2024-1432, https://doi.org/10.5194/egusphere-2024-1432, 2024
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Inadequate consideration of mixing state and coatings on BC hinders aerosol radiation forcing quantification. While core-shell mixing results match observations closely, partial internal mixing and coating are more realistic. The fraction of embedded BC and coating aerosols resolved by a microphysics module were used to constrain the mixing state. This led to a 30~43 % absorption enhancement decrease over Northern China, offering valuable insights for the assessment of BC's radiative effects.
Emilie Fons, Ann Kristin Naumann, David Neubauer, Theresa Lang, and Ulrike Lohmann
Atmos. Chem. Phys., 24, 8653–8675, https://doi.org/10.5194/acp-24-8653-2024, https://doi.org/10.5194/acp-24-8653-2024, 2024
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Aerosols can modify the liquid water path (LWP) of stratocumulus and, thus, their radiative effect. We compare storm-resolving model and satellite data that disagree on the sign of LWP adjustments and diagnose this discrepancy with causal inference. We find that strong precipitation, the absence of wet scavenging, and cloud deepening under a weak inversion contribute to positive LWP adjustments to aerosols in the model, despite weak negative effects from cloud-top entrainment enhancement.
Muhammed Irfan, Thomas Kühn, Taina Yli-Juuti, Anton Laakso, Eemeli Holopainen, Douglas R. Worsnop, Annele Virtanen, and Harri Kokkola
Atmos. Chem. Phys., 24, 8489–8506, https://doi.org/10.5194/acp-24-8489-2024, https://doi.org/10.5194/acp-24-8489-2024, 2024
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The study examines how the volatility of semi-volatile organic compounds affects secondary organic aerosol (SOA) formation and climate. Our simulations show that uncertainties in these volatilities influence aerosol mass and climate impacts. Accurate representation of these compounds in climate models is crucial for predicting global climate patterns.
Zhixin Xue, Nair Udaysankar, and Sundar Christopher
EGUsphere, https://doi.org/10.5194/egusphere-2024-1781, https://doi.org/10.5194/egusphere-2024-1781, 2024
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Canadian wildfires degrade US air quality through long-range smoke transport. This study uses surface, satellite, and numerical models to assess the PM2.5 increase due to Canadian fires during 2018 fire season. Satellite data, often limited by cloud cover, was supplemented with high-resolution simulated data to fill gaps. Weather systems significantly influenced smoke movement. Canadian fires led to a notable rise in PM2.5 levels across various US regions during the 2018 summer wildfire events.
Alkiviadis Kalisoras, Aristeidis K. Georgoulias, Dimitris Akritidis, Robert J. Allen, Vaishali Naik, Chaincy Kuo, Sophie Szopa, Pierre Nabat, Dirk Olivié, Twan van Noije, Philippe Le Sager, David Neubauer, Naga Oshima, Jane Mulcahy, Larry W. Horowitz, and Prodromos Zanis
Atmos. Chem. Phys., 24, 7837–7872, https://doi.org/10.5194/acp-24-7837-2024, https://doi.org/10.5194/acp-24-7837-2024, 2024
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Effective radiative forcing (ERF) is a metric for estimating how human activities and natural agents change the energy flow into and out of the Earth’s climate system. We investigate the anthropogenic aerosol ERF, and we estimate the contribution of individual processes to the total ERF using simulations from Earth system models within the Coupled Model Intercomparison Project Phase 6 (CMIP6). Our findings highlight that aerosol–cloud interactions drive ERF variability during the last 150 years.
Qianqian Song, Paul Ginoux, María Gonçalves Ageitos, Ron L. Miller, Vincenzo Obiso, and Carlos Pérez García-Pando
Atmos. Chem. Phys., 24, 7421–7446, https://doi.org/10.5194/acp-24-7421-2024, https://doi.org/10.5194/acp-24-7421-2024, 2024
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We implement and simulate the distribution of eight dust minerals in the GFDL AM4.0 model. We found that resolving the eight minerals reduces dust absorption compared to the homogeneous dust used in the standard GFDL AM4.0 model that assumes a globally uniform hematite content of 2.7 % by volume. Resolving dust mineralogy results in significant impacts on radiation, land surface temperature, surface winds, and precipitation over North Africa in summer.
Senyi Kong, Zheng Wang, and Lei Bi
Atmos. Chem. Phys., 24, 6911–6935, https://doi.org/10.5194/acp-24-6911-2024, https://doi.org/10.5194/acp-24-6911-2024, 2024
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The retrieval of refractive indices of dust aerosols from laboratory optical measurements is commonly done assuming spherical particles. This paper aims to investigate the uncertainties in the shortwave refractive indices and corresponding optical properties by considering non-spherical and inhomogeneous models for dust samples. The study emphasizes the significance of using non-spherical models for simulating dust aerosols.
Wenxuan Hua, Sijia Lou, Xin Huang, Lian Xue, Ke Ding, Zilin Wang, and Aijun Ding
Atmos. Chem. Phys., 24, 6787–6807, https://doi.org/10.5194/acp-24-6787-2024, https://doi.org/10.5194/acp-24-6787-2024, 2024
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In this study, we diagnose uncertainties in carbon monoxide and organic carbon emissions from four inventories for seven major wildfire-prone regions. Uncertainties in vegetation classification methods, fire detection products, and cloud obscuration effects lead to bias in these biomass burning (BB) emission inventories. By comparing simulations with measurements, we provide certain inventory recommendations. Our study has implications for reducing uncertainties in emissions in further studies.
Chandrakala Bharali, Mary Barth, Rajesh Kumar, Sachin D. Ghude, Vinayak Sinha, and Baerbel Sinha
Atmos. Chem. Phys., 24, 6635–6662, https://doi.org/10.5194/acp-24-6635-2024, https://doi.org/10.5194/acp-24-6635-2024, 2024
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This study examines the role of atmospheric aerosols in winter fog over the Indo-Gangetic Plains of India using WRF-Chem. The increase in RH with aerosol–radiation feedback (ARF) is found to be important for fog formation as it promotes the growth of aerosols in the polluted environment. Aqueous-phase chemistry in the fog increases PM2.5 concentration, further affecting ARF. ARF and aqueous-phase chemistry affect the fog intensity and the timing of fog formation by ~1–2 h.
Wenxin Zhao, Yu Zhao, Yu Zheng, Dong Chen, Jinyuan Xin, Kaitao Li, Huizheng Che, Zhengqiang Li, Mingrui Ma, and Yun Hang
Atmos. Chem. Phys., 24, 6593–6612, https://doi.org/10.5194/acp-24-6593-2024, https://doi.org/10.5194/acp-24-6593-2024, 2024
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We evaluate the long-term (2000–2020) variabilities of aerosol absorption optical depth, black carbon emissions, and associated health risks in China with an integrated framework that combines multiple observations and modeling techniques. We demonstrate the remarkable emission abatement resulting from the implementation of national pollution controls and show how human activities affected the emissions with a spatiotemporal heterogeneity, thus supporting differentiated policy-making by region.
Cited articles
Almetwally, A., Bin-Jumah, M., and Allam, A.: Ambient air pollution and its influence on human health and welfare: an overview, Environ. Sci. Pollut. Res., 27, 24815–24830, https://doi.org/10.1007/s11356-020-09042-2, 2020. a
Anand, J. S. and Monks, P. S.: Estimating daily surface NO2 concentrations from satellite data – a case study over Hong Kong using land use regression models, Atmos. Chem. Phys., 17, 8211–8230, https://doi.org/10.5194/acp-17-8211-2017, 2017. a, b
Apte, J. S., Messier, K. P., Gani, S., Brauer, M., Kirchstetter, T. W., Lunden, M. M., Marshall, J. D., Portier, C. J., Vermeulen, R. C., and Hamburg, S. P.: High-resolution air pollution mapping with Google street view cars: exploiting big data, Environ. Sci. Technol., 51, 6999–7008, https://doi.org/10.1021/acs.est.7b00891, 2017. a, b
Balaceanu, C., Mitiu, M., Marcus, I., and Mincu, M.: Pollution Impact of the Grozavesti Thermoelectric Power Plant on the Urban Agglomeration Bucharest, Rev. Chim.-Bucharest, 69, 350–353, https://doi.org/10.37358/RC.18.2.6105, 2018. a, b
Bernstein, J. A., Alexis, N., Barnes, C., Bernstein, I. L., Nel, A., Peden, D., Diaz-Sanchez, D., Tarlo, S. M., Williams, P. B., and Bernstein, J. A.: Health effects of air pollution, J. Allergy Clin. Immun., 114, 1116–1123, https://doi.org/10.1016/j.jaci.2004.08.030, 2004. a
Bi, J., Zuidema, C., Clausen, D., Kirwa, K., Young, M., Gassett, A., Seto, E., Sampson, P., Larson, T., Szpiro, A., Sheppard, L., and Kaufman, J.: Within-City Variation in Ambient Carbon Monoxide Concentrations: Leveraging Low-Cost Monitors in a Spatiotemporal Modeling Framework, Environ. Health Persp., 130, 97008, https://doi.org/10.1289/EHP10889, 2022. a
Briggs, D. J., Collins, S., Elliott, P., Fischer, P., Kingham, S., Lebret, E., Pryl, K., Reeuwijk, H. V., Smallbone, K., and Veen, A. V. D.: Mapping urban air pollution using GIS: a regression-based approach, Int. J. Geogr. Info. Sci., 11, 699–718, https://doi.org/10.1080/136588197242158, 1997. a
Brunekreef, B. and Holgate, S.: Air Pollution and Health, Lancet, 360, 1233–1242, https://doi.org/10.1016/S0140-6736(02)11274-8, 2002. a
Castell, N., Schneider, P., Grossberndt, S., Fredriksen, M. F., Sousa-Santos, G., Vogt, M., and Bartonova, A.: Localized real-time information on outdoor air quality at kindergartens in Oslo, Norway using low-cost sensor nodes, Environ. Res., 165, 410–419, https://doi.org/10.1016/j.envres.2017.10.019, 2018. a
Choi, J., Henze, D. K., Cao, H., Nowlan, C. R., González Abad, G., Kwon, H.-A., Lee, H.-M., Oak, Y. J., Park, R. J., Bates, K. H., Maasakkers, J. D., Wisthaler, A., and Weinheimer, A. J.: An Inversion Framework for Optimizing Non-Methane VOC Emissions Using Remote Sensing and Airborne Observations in Northeast Asia During the KORUS-AQ Field Campaign, J. Geophys. Res.-Atmos., 127, e2021JD035844, https://doi.org/10.1029/2021JD035844, 2022. a
De Marco, A., Garcia-Gomez, H., Collalti, A., Khaniabadi, Y. O., Feng, Z., Proietti, C., Sicard, P., Vitale, M., Anav, A., and Paoletti, E.: Ozone modelling and mapping for risk assessment: An overview of different approaches for human and ecosystems health, Environ. Res., 211, 113048, https://doi.org/10.1016/j.envres.2022.113048, 2022. a
Deshmukh, P., Kimbrough, S., Krabbe, S., Logan, R., Isakov, V., and Baldauf, R.: Identifying air pollution source impacts in urban communities using mobile monitoring, Sci. Total Environ., 715, 136979, https://doi.org/10.1016/j.scitotenv.2020.136979, 2020. a
Eeftens, M., Tsai, M.-Y., Ampe, C., Anwander, B., Beelen, R., Bellander, T., Cesaroni, G., Cirach, M., Cyrys, J., de Hoogh, K., Nazelle, A. D., de Vocht, F., Declercq, C., Dėdelė, A., Eriksen, K., Galassi, C., Gražulevičienė, R., Grivas, G., Heinrich, J., Hoffmann, B., Iakovides, M., Ineichen, A., Katsouyanni, K., Korek, M., Krämer, U., Kuhlbusch, T., Lanki, T., Madsen, C., Meliefste, K., Mölter, A., Mosler, G., Nieuwenhuijsen, M., Oldenwening, M., Pennanen, A., Probst-Hensch, N., Quass, U., Raaschou-Nielsen, O., Ranzi, A., Stephanou, E., Sugiri, D., Udvardy, O., Éva Vaskövi, Weinmayr, G., Brunekreef, B., and Hoek, G.: Spatial variation of PM2.5, PM10, PM2.5 absorbance and PM coarse concentrations between and within 20 European study areas and the relationship with NO2 – Results of the ESCAPE project, Atmos. Environ., 62, 303–317, https://doi.org/10.1016/j.atmosenv.2012.08.038, 2012. a
ESCAPE: ESCAPE – Enhancing Sales Capacity for Agrifood Products in Europe,
urlhttp://escapeproject.eu/ (last access: 11 July 2024), 2024. a
urlhttp://escapeproject.eu/ (last access: 11 July 2024), 2024. a
European Environment Agency: CORINE Land Cover (CLC) 2018 dataset, Data file, https://www.eea.europa.eu/publications/COR0-landcover (last access: 13 August 2024), 2018. a
Fenger, J.: Urban air quality, Atmospheric environment, 33, 4877–4900, 1999. a
Fokkema, M., Smits, N., Zeileis, A., Hothorn, T., and Kelderman, H.: Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees, Behav. Res. Methods, 50, 2016–2034, https://doi.org/10.3758/s13428-017-0971-x, 2018. a
Ge, Y., Fu, Q., Yi, M., Chao, Y., Lei, X., Xu, X., Yang, Z., Hu, J., Kan, H., and Cai, J.: High spatial resolution land-use regression model for urban ultrafine particle exposure assessment in Shanghai, China, Sci. Total Environ., 816, 151633, https://doi.org/10.1016/j.scitotenv.2021.151633, 2022. a
Geofabrik: Geofabrik GmbH, https://download.geofabrik.de/ (last access: 11 July 2024), 2024. a
Grønskei, K. E.: Europe and its cities, in: Urban Air Pollution – European Aspects, 21–32 pp., Springer, https://doi.org/10.1007/978-94-015-9080-8_3, 1998. a
Hamanaka, R. B. and Mutlu, G. M.: Particulate Matter Air Pollution: Effects on the Cardiovascular System, Front. Endocrinol., 9, 680, https://doi.org/10.3389/fendo.2018.00680, 2018. a, b, c
Hamer, P. D., Walker, S.-E., Sousa-Santos, G., Vogt, M., Vo-Thanh, D., Lopez-Aparicio, S., Schneider, P., Ramacher, M. O. P., and Karl, M.: The urban dispersion model EPISODE v10.0 – Part 1: An Eulerian and sub-grid-scale air quality model and its application in Nordic winter conditions, Geosci. Model Dev., 13, 4323–4353, https://doi.org/10.5194/gmd-13-4323-2020, 2020. a
Hankey, S. and Marshall, J. D.: Land use regression models of on-road particulate air pollution (particle number, black carbon, PM2. 5, particle size) using mobile monitoring, Environmental science & technology, 49, 9194–9202, https://doi.org/10.1021/acs.est.5b01209, 2015. a
Hasegawa, K., Tsukahara, T., and Nomiyama, T.: Short-term associations of low-level fine particulate matter (PM2.5) with cardiorespiratory hospitalizations in 139 Japanese cities, Ecotoxicol. Environ. Safe., 258, 114961, https://doi.org/10.1016/j.ecoenv.2023.114961, 2023. a, b
Hatzopoulou, M., Valois, M.-F., Levy, I., Mihele, C., Lu, G., Bagg, S., Minet, L., and Brook, J.: Robustness of Land-Use Regression Models Developed from Mobile Air Pollutant Measurements, Environ. Sci. Technol., 51, 3938–3947, https://doi.org/10.1021/acs.est.7b00366, 2017. a
Hoek, G., Beelen, R., de Hoogh, K., Vienneau, D., Gulliver, J., Fischer, P., and Briggs, D.: A review of land-use regression models to assess spatial variation of outdoor air pollution, Atmos. Environ., 42, 7561–7578, https://doi.org/10.1016/j.atmosenv.2008.05.057, 2008. a, b
Hoek, G., Eeftens, M., Beelen, R., Fischer, P., Brunekreef, B., Boersma, K., and Veefkind, P.: Satellite NO2 data improve national land use regression models for ambient NO2 in a small densely populated country, Atmos. Environ., 105, 173–180, https://doi.org/10.1016/j.atmosenv.2015.01.053, 2015. a
INS: National Institute of Statistics of Romania, https://insse.ro/cms/en (last access: 11 July 2024), 2024. a
Jerrett, M., Arain, A., Kanaroglou, P., Beckerman, B., Potoglou, D., Sahsuvaroglu, T., Morrison, J., and Giovis, C.: A review and evaluation of intraurban air pollution exposure models, J. Expo. Sci. Env. Epid., 15, 185–204, https://doi.org/10.1038/sj.jea.7500388, 2005. a
Jones, R. R., Hoek, G., Fisher, J. A., Hasheminassab, S., Wang, D., Ward, M. H., Sioutas, C., Vermeulen, R., and Silverman, D. T.: Land use regression models for ultrafine particles, fine particles, and black carbon in Southern California, Sci. Total Environ., 699, 134234, https://doi.org/10.1016/j.scitotenv.2019.134234, 2020. a
Karimi, B. and Shokrinezhad, B.: Spatial variation of ambient PM2.5 and PM10 in the industrial city of Arak, Iran: A land-use regression, Atmos. Pollut. Res., 12, 101235, https://doi.org/10.1016/j.apr.2021.101235, 2021. a
Kerckhoffs, J., Hoek, G., Gehring, U., and Vermeulen, R.: Modelling nationwide spatial variation of ultrafine particles based on mobile monitoring, Environ. Int., 154, 106569, https://doi.org/10.1016/j.envint.2021.106569, 2021. a, b, c, d
Kerckhoffs, J., Khan, J., Hoek, G., Yuan, Z., Ellermann, T., Hertel, O., Ketzel, M., Jensen, S. S., Meliefste, K., and Vermeulen, R.: Mixed-effects modeling framework for Amsterdam and Copenhagen for outdoor NO2 concentrations using measurements sampled with google street view cars, Environ. Sci. Technol., 56, 7174–7184, https://doi.org/10.1021/acs.est.1c05806, 2022a. a, b, c, d, e
Kerckhoffs, J., Khan, J., Hoek, G., Yuan, Z., Hertel, O., Ketzel, M., Jensen, S. S., Al Hasan, F., Meliefste, K., and Vermeulen, R.: Hyperlocal variation of nitrogen dioxide, black carbon, and ultrafine particles measured with Google Street View cars in Amsterdam and Copenhagen, Environ. Int., 170, 107575, https://doi.org/10.1016/j.envint.2022.107575, 2022b. a, b, c
Kerckhoffs, J., Hoek, G., and Vermeulen, R.: Mobile monitoring of air pollutants; performance evaluation of a mixed-model land use regression framework in relation to the number of drive days, Environ. Res., 240, 117457, https://doi.org/10.1016/j.envres.2023.117457, 2024. a
Knibbs, L. D., van Donkelaar, A., Martin, R. V., Bechle, M. J., Brauer, M., Cohen, D. D., Cowie, C. T., Dirgawati, M., Guo, Y., Hanigan, I. C., Johnston, F. H., Marks, G. B., Marshall, J. D., Pereira, G., Jalaludin, B., Heyworth, J. S., Morgan, G. G., and Barnett, A. G.: Satellite-Based Land-Use Regression for Continental-Scale Long-Term Ambient PM2.5 Exposure Assessment in Australia, Environ. Sci. Technol., 52, 12445–12455, https://doi.org/10.1021/acs.est.8b02328, 2018. a
Kokkalis, P., Amiridis, V., Allan, J., Papayannis, A., Solomos, S., Binietoglou, I., Bougiatioti, A., Tsekeri, A., Nenes, A., Rosenberg, P., Marenco, F., Marinou, E., Vasilescu, J., Nicolae, D., Coe, H., Bacak, A., and Chaikovsky, A.: Validation of LIRIC aerosol concentration retrievals using airborne measurements during a biomass burning episode over Athens, Atmos. Res., 183, 255–267, https://doi.org/10.1016/j.atmosres.2016.09.007, 2016. a
Lee, H. J.: Benefits of High Resolution PM2.5 Prediction using Satellite MAIAC AOD and Land Use Regression for Exposure Assessment: California Examples, Environ. Sci. Technol., 53, 12774–12783, https://doi.org/10.1021/acs.est.9b03799, 2019. a
Lee, K., Wu, J., Hudda, N., Fruin, S., and Delfino, R.: Modeling the Concentrations of On-Road Air Pollutants in Southern California, Environ. Sci. Technol., 47, 9291–9299, https://doi.org/10.1021/es401281r, 2013. a
Li, H. Z., Gu, P., Ye, Q., Zimmerman, N., Robinson, E. S., Subramanian, R., Apte, J. S., Robinson, A. L., and Presto, A. A.: Spatially dense air pollutant sampling: Implications of spatial variability on the representativeness of stationary air pollutant monitors, Atmos. Environ. X, 2, 100012, https://doi.org/10.1016/j.aeaoa.2019.100012, 2019. a
Lim, C., Kim, H., Vilcassim, M. J. R., Thurston, G., Gordon, T., Chen, L.-C., Lee, K., Heimbinder, M., and Kim, S.-Y.: Mapping urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea, Environ. Int., 131, 105022, https://doi.org/10.1016/j.envint.2019.105022, 2019. a
Lin, C., Wang, Y., Ooka, R., Flageul, C., Kim, Y., Kikumoto, H., Wang, Z., and Sartelet, K.: Modeling of street-scale pollutant dispersion by coupled simulation of chemical reaction, aerosol dynamics, and CFD, Atmos. Chem. Phys., 23, 1421–1436, https://doi.org/10.5194/acp-23-1421-2023, 2023. a
Lin, C., Ooka, R., Kikumoto, H., Flageul, C., Kim, Y., Zhang, Y., and Sartelet, K.: Impact of solid road barriers on reactive pollutant dispersion in an idealized urban canyon: A large-eddy simulation coupled with chemistry, Urban Clim., 55, 101989, https://doi.org/10.1016/j.uclim.2024.101989, 2024. a
Lloyd, M., Ganji, A., Xu, J., Venuta, A., Simon, L., Zhang, M., Saeedi, M., Yamanouchi, S., Apte, J., Hong, K., Hatzopoulou, M., and Weichenthal, S.: Predicting spatial variations in annual average outdoor ultrafine particle concentrations in Montreal and Toronto, Canada: Integrating land use regression and deep learning models, Environ. Int., 178, 108106, https://doi.org/10.1016/j.envint.2023.108106, 2023. a
Lu, M., Soenario, I., Helbich, M., Schmitz, O., Hoek, G., van der Molen, M., and Karssenberg, D.: Land use regression models revealing spatiotemporal co-variation in NO2, NO, and O3 in the Netherlands, Atmospheric Environment, 223, 117238, https://doi.org/10.1016/j.atmosenv.2019.117238, 2020. a
Ma, X., Zou, B., Deng, J., Gao, J., Longley, I., Xiao, S., Guo, B., Wu, Y., Xu, T., Xu, X., Yang, X., Wang, X., Tan, Z., Wang, Y., Morawska, L., and Salmond, J.: A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: A perspective from 2011 to 2023, Environ. Int., 183, 108430, https://doi.org/10.1016/j.envint.2024.108430, 2024. a
Marin, C., Marmureanu, L., Radu, C., Dandocsi, A., Stan, C., Toanca, F., Preda, L., and Antonescu, B.: Wintertime Variations of Gaseous Atmospheric Constituents in Bucharest Peri-Urban Area, Atmosphere, 10, 478, https://doi.org/10.3390/atmos10080478, 2019. a, b
Marmureanu, L., Vasilescu, J., Stefanie, H., and Talianu, C.: Chemical and optical characterization of submicronic aerosol sources, Environ. Eng. Manage. J., 16, 2165–2172, https://doi.org/10.30638/eemj.2017.223, 2017. a
Mărmureanu, L., Marin, C. A., Andrei, S., Antonescu, B., Ene, D., Boldeanu, M., Vasilescu, J., Viţelaru, C., Cadar, O., and Levei, E.: Orange snow – a Saharan dust intrusion over Romania during winter conditions, Remote Sens., 11, 2466, https://doi.org/10.3390/rs11212466, 2019. a
Messier, K. P., Chambliss, S. E., Gani, S., Alvarez, R., Brauer, M., Choi, J. J., Hamburg, S. P., Kerckhoffs, J., LaFranchi, B., Lunden, M. M., et al.: Mapping air pollution with Google Street View cars: Efficient approaches with mobile monitoring and land use regression, Environ. Sci. Technol., 52, 12563–12572, https://doi.org/10.1021/acs.est.8b03395, 2018. a
Mikeš, O., Sanka, O., Rafajová, A., Vlaanderen, J., Chen, J., Hoek, G., Klanova, J., and Cupr, P.: Development of historic monthly land use regression models of SO2, NOx and suspended particulate matter for birth cohort ELSPAC, Atmos. Environ., 301, 119688, https://doi.org/10.1016/j.atmosenv.2023.119688, 2023. a
Miri, M., Ghassoun, Y., Dowlatabadi, A., Ebrahimnejad, A., and Löwner, M.-O.: Estimate annual and seasonal PM1, PM2.5 and PM10 concentrations using land use regression model, Ecotoxicol. Environm. Safe., 174, 137–145, https://doi.org/10.1016/j.ecoenv.2019.02.070, 2019. a
Ndiaye, A., Shen, Y., Kyriakou, K., Karssenberg, D., Schmitz, O., Flückiger, B., Hoogh, K. d., and Hoek, G.: Hourly land-use regression modeling for NO2 and PM2.5 in the Netherlands, Environ. Res., 256, 119233, https://doi.org/10.1016/j.envres.2024.119233, 2024. a
Nemuc, A., Stachlewska, I., Vasilescu, J., Górska, A., Nicolae, D., and Talianu, C.: Optical Properties of Long-Range Transported Volcanic Ash over Romania and Poland During Eyjafjallajökull Eruption in 2010, Acta Geophys., 62, 350–366, https://doi.org/10.2478/s11600-013-0180-7, 2013. a
OpenStreetMap: OpenStreetMap database [PostgreSQL via API], © OpenStreetMap contributors, available under the Open Database Licence from: https://openstreetmap.org (last access: 22 February 2024), Data mining by Overpass turbo, available at https://overpass-turbo.eu (last access: 22 February 2024), 2021. a
Patton, A., Collins, C., Naumova, E., Zamore, W., Brugge, D., and Durant, J.: An Hourly Regression Model for Ultrafine Particles in a Near-Highway Urban Area, Environ. Sci. Technol., 48, 3272–3280, https://doi.org/10.1021/es404838k, 2014. a
Pîrloagă, R., Adam, M., Antonescu, B., Andrei, S., and Ştefan, S.: Ground-Based Measurements of Wind and Turbulence at Bucharest–Măgurele: First Results, Remote Sens., 15, 1514, https://doi.org/10.3390/rs15061514, 2023. a
Ramacher, M., Kakouri, A., Speyer, O., Steiling, J., Karl, M., Timmermans, R., Denier van der Gon, H., Kuenen, J., Gerasopoulos, E., and Athanasopoulou, E.: The UrbEm Hybrid Method to Derive High-Resolution Emissions for City-Scale Air Quality Modeling, Atmosphere, 12, 1404, https://doi.org/10.3390/atmos12111404, 2021. a
Rongqi Abbie, L., Yaguang, W., Xinye, Q., Anna, K., and Joel D., S.: Short term exposure to air pollution and mortality in the US: a double negative control analysis, Environ. Health, 21, 81, https://doi.org/10.1186/s12940-022-00886-4, 2022. a
Saha, P. K., Li, H. Z., Apte, J. S., Robinson, A. L., and Presto, A. A.: Urban Ultrafine Particle Exposure Assessment with Land-Use Regression: Influence of Sampling Strategy, Environ. Sci. Technol., 53, 7326–7336, https://doi.org/10.1021/acs.est.9b02086, 2019. a
Schmitz, O., Beelen, R., Strak, M., Hoek, G., Soenario, I., Brunekreef, B., Vaartjes, I., Dijst, M., Grobbee, D., and Karssenberg, D.: High resolution annual average air pollution concentration maps for the Netherlands, Sci. Data, 6, 190035, https://doi.org/10.1038/sdata.2019.35, 2019. a
Seibold, H., Hothorn, T., and Zeileis, A.: Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees, Adv. Data Anal. Classi., 13, 703–725, https://doi.org/10.1007/s11634-018-0342-1, 2019. a
Seihei, N., Farhadi, M., Takdastan, A., Asban, P., Kiani, F., and Mohammadi, M. J.: Short-term and long-term effects of exposure to PM10, Clinic. Epidemiol. Global Health, 27, 101611, https://doi.org/10.1016/j.cegh.2024.101611, 2024. a
Shairsingh, K. K., Jeong, C.-H., Wang, J. M., Brook, J. R., and Evans, G. J.: Urban land use regression models: can temporal deconvolution of traffic pollution measurements extend the urban LUR to suburban areas?, Atmos. Environ., 196, 143–151, https://doi.org/10.1016/j.atmosenv.2018.10.013, 2019. a
Shi, T., Hu, Y., Liu, M., Li, C., Zhang, C., and Liu, C.: Land use regression modelling of PM2.5 spatial variations in different seasons in urban areas, Sci. Total Environ., 743, 140744, https://doi.org/10.1016/j.scitotenv.2020.140744, 2020. a
Snoun, H., Krichen, M., and Chérif, H.: A comprehensive review of Gaussian atmospheric dispersion models: current usage and future perspectives, Euro-Mediterran. J. Environ. Int., 8, 219–242, https://doi.org/10.1007/s41207-023-00354-6, 2023. a
Snyder, E. G., Watkins, T. H., Solomon, P. A., Thoma, E. D., Williams, R. W., Hagler, G. S. W., Shelow, D., Hindin, D. A., Kilaru, V. J., and Preuss, P. W.: The Changing Paradigm of Air Pollution Monitoring, Environ. Sci. Technol., 47, 11369–11377, https://doi.org/10.1021/es4022602, 2013. a
Stedman, J. R., Vincent, K. J., Campbell, G. W., Goodwin, J. W., and Downing, C. E.: New high resolution maps of estimated background ambient NOx and NO2 concentrations in the U.K., Atmos. Environ., 31, 3591–3602, https://doi.org/10.1016/S1352-2310(97)00159-3, 1997. a
Taheri Shahraiyni, H. and Sodoudi, S.: Statistical Modeling Approaches for PM10 Prediction in Urban Areas; A Review of 21st-Century Studies, Atmosphere, 7, 15, https://doi.org/10.3390/atmos7020015, 2016. a
Upadhya, A. R., Kushwaha, M., Agrawal, P., Gingrich, J. D., Asundi, J., Sreekanth, V., Marshall, J. D., and Apte, J. S.: Multi-season mobile monitoring campaign of on-road air pollution in Bengaluru, India: High-resolution mapping and estimation of quasi-emission factors, Sci. Total Environ., 914, 169987, https://doi.org/10.1016/j.scitotenv.2024.169987, 2024. a
Van den Bossche, J., Peters, J., Verwaeren, J., Botteldooren, D., Theunis, J., and De Baets, B.: Mobile monitoring for mapping spatial variation in urban air quality: Development and validation of a methodology based on an extensive dataset, Atmos. Environ., 105, 148–161, https://doi.org/10.1016/j.atmosenv.2015.01.017, 2015. a
Van den Bossche, J., Theunis, J., Elen, B., Peters, J., Botteldooren, D., and De Baets, B.: Opportunistic mobile air pollution monitoring: A case study with city wardens in Antwerp, Atmos. Environ., 141, 408–421, https://doi.org/10.1016/j.atmosenv.2016.06.063, 2016. a
Van den Bossche, J., De Baets, B., Verwaeren, J., Botteldooren, D., and Theunis, J.: Development and evaluation of land use regression models for black carbon based on bicycle and pedestrian measurements in the urban environment, Environ. Modell. Softw., 99, 58–69, https://doi.org/10.1016/j.envsoft.2017.09.019, 2018. a
Van den Hove, A., Verwaeren, J., Van den Bossche, J., Theunis, J., and De Baets, B.: Development of a land use regression model for black carbon using mobile monitoring data and its application to pollution-avoiding routing, Environ. Res., 183, 108619, https://doi.org/10.1016/j.envres.2019.108619, 2020. a
van Nunen, E., Vermeulen, R., Tsai, M.-Y., Probst-Hensch, N., Ineichen, A., Imboden, M., Naccarati, A., Tarallo, S., Raffaele, D., Ranzi, A., Nieuwenhuijsen, M., Jarvis, D., Amaral, A. F., Vlaanderen, J., Meliefste, K., Brunekreef, B., Vineis, P., Gulliver, J., and Hoek, G.: Associations between modeled residential outdoor and measured personal exposure to ultrafine particles in four European study areas, Atmos. Environ., 226, 117353, https://doi.org/10.1016/j.atmosenv.2020.117353, 2020. a
Wallek, S., Langner, M., Schubert, S., and Schneider, C.: Modelling Hourly Particulate Matter (PM10) Concentrations at High Spatial Resolution in Germany Using Land Use Regression and Open Data, Atmosphere, 13, 1282, https://doi.org/10.3390/atmos13081282, 2022. a
Wei, J., Li, Z., Li, K., Dickerson, R. R., Pinker, R. T., Wang, J., Liu, X., Sun, L., Xue, W., and Cribb, M.: Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China, Remote Sens. Environ., 270, 112775, https://doi.org/10.1016/j.rse.2021.112775, 2022. a
West, J., Cohen, A., Dentener, F., Brunekreef, B., Zhu, T., Armstrong, B., Bell, M., Brauer, M., Carmichael, G., Costa, D., Dockery, D., Kleeman, M., Krzyzanowski, M., Künzli, N., Liousse, C., Candice Lung, S.-C., Martin, R., Pöschl, U., Pope, C., and Wiedinmyer, C.: “What We Breathe Impacts Our Health: Improving Understanding of the Link between Air Pollution and Health”, Environ. Sci. Technol., 50, https://doi.org/10.1021/acs.est.5b03827, 2016. a
Wu, Y., Li, R., Cui, L., Meng, Y., Cheng, H., and Fu, H.: The high-resolution estimation of sulfur dioxide (SO2) concentration, health effect and monetary costs in Beijing, Chemosphere, 241, 125031, https://doi.org/10.1016/j.chemosphere.2019.125031, 2019. a
Xu, X., Qin, N., Qi, L., Zou, B., Cao, S., Zhang, K., Yang, Z., Liu, Y., Zhang, Y., and Duan, X.: Development of season-dependent land use regression models to estimate BC and PM1 exposure, Sci. Total Environ., 793, 148 540, https://doi.org/10.1016/j.scitotenv.2021.148540, 2021a. a, b
Xu, X., Qin, N., Yang, Z., Liu, Y., Cao, S., Zou, B., Jin, L., Zhang, Y., and Duan, X.: Potential for developing independent daytime/nighttime LUR models based on short-term mobile monitoring to improve model performance, Environ. Pollut., 268, 115951, https://doi.org/10.1016/j.envpol.2020.115951, 2021b. a
Yuan, Z., Kerckhoffs, J., Shen, Y., Hoogh, K. d., Hoek, G., and Vermeulen, R.: Integrating large-scale stationary and local mobile measurements to estimate hyperlocal long-term air pollution using transfer learning methods, Environ. Res., 228, 115836, https://doi.org/10.1016/j.envres.2023.115836, 2023. a
Yuan, Z., Kerckhoffs, J., Li, H., Khan, J., Hoek, G., and Vermeulen, R.: Hyperlocal Air Pollution Mapping: A Scalable Transfer Learning LUR Approach for Mobile Monitoring, Environ. Sci. Technol., 58, 14372–14383, https://doi.org/10.1021/acs.est.4c06144, 2024. a
Zapata-Marin, S., Schmidt, A. M., Crouse, D., Ho, V., Labrèche, F., Lavigne, E., Parent, M.-E., and Goldberg, M. S.: Spatial modeling of ambient concentrations of volatile organic compounds in Montreal, Canada, Environ. Epidemiol., 6, e226, https://doi.org/10.1097/EE9.0000000000000226, 2022. a
Zhang, L., Tian, X., Zhao, Y., Liu, L., Li, Z., Tao, L., Wang, X., Guo, X., and Luo, Y.: Application of nonlinear land use regression models for ambient air pollutants and air quality index, Atmos. Pollut. Res., 12, 101186, https://doi.org/10.1016/j.apr.2021.101186, 2021. a
Zhao, Z., Jing, Y., Luo, X.-S., and Li, Hanhan andTang, M.: Overview and Research Progresses in Chemical Speciation and In Vitro Bioaccessibility Analyses of Airborne Particulate Trace Metals, Curr. Pollut. Rep., 7, 540–548, https://doi.org/10.1007/s40726-021-00200-9, 2021. a
Short summary
For Bucharest, Romania's capital, mobile measurements during two intensive campaigns and mixed-effect LUR (land-use regression) models to derive seasonal maps of near-surface PM10, NO2 and UFPs (ultrafine particles) have successfully been used. The model's performance was evaluated, demonstrating its potential for high-resolution mapping in other cities with well-characterized urban structures and diverse in situ monitoring stations.
For Bucharest, Romania's capital, mobile measurements during two intensive campaigns and...
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