Articles | Volume 20, issue 11
https://doi.org/10.5194/acp-20-6395-2020
© Author(s) 2020. 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-20-6395-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Regional-scale modelling for the assessment of atmospheric particulate matter concentrations at rural background locations in Europe
Goran Gašparac
CORRESPONDING AUTHOR
Croatia Control Ltd., Zagreb, Croatia
Climatology Department, Climate Modelling, Climate Change Monitoring and Biometeorology Division, Croatian Meteorological and Hydrological Service, Zagreb, Croatia
Amela Jeričević
Croatia Control Ltd., Zagreb, Croatia
Prashant Kumar
Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, GU2 7XH, UK
Branko Grisogono
Department of Geophysics, Faculty of Science, University of Zagreb, Zagreb, Croatia
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Gabriella Lükő, Péter Torma, Tamás Krámer, Tamás Weidinger, Zeljko Vecenaj, and Branko Grisogono
Adv. Sci. Res., 17, 175–182, https://doi.org/10.5194/asr-17-175-2020, https://doi.org/10.5194/asr-17-175-2020, 2020
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This paper proposes new relationships for momentum exchange through the air–water interface for medium size lakes. High-resolution wind and wave measurements were performed simultaneously in onshore and offshore stations in Lake Balaton. Our results show that the surface drag is remarkably higher compared to open ocean conditions due to the very young wave state which is a typical feature of midsize freshwater lakes.
Mona Kurppa, Antti Hellsten, Pontus Roldin, Harri Kokkola, Juha Tonttila, Mikko Auvinen, Christoph Kent, Prashant Kumar, Björn Maronga, and Leena Järvi
Geosci. Model Dev., 12, 1403–1422, https://doi.org/10.5194/gmd-12-1403-2019, https://doi.org/10.5194/gmd-12-1403-2019, 2019
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This paper describes the implementation of a sectional aerosol module, SALSA, into the PALM model system 6.0. The first evaluation study shows excellent agreements with measurements. Furthermore, we show that ignoring the dry deposition of aerosol particles can overestimate aerosol number concentrations by 20 %, whereas condensation and dissolutional growth increase the total aerosol mass by over 10 % in this specific urban environment.
Guilherme Martins Pereira, Kimmo Teinilä, Danilo Custódio, Aldenor Gomes Santos, Huang Xian, Risto Hillamo, Célia A. Alves, Jailson Bittencourt de Andrade, Gisele Olímpio da Rocha, Prashant Kumar, Rajasekhar Balasubramanian, Maria de Fátima Andrade, and Pérola de Castro Vasconcellos
Atmos. Chem. Phys., 17, 11943–11969, https://doi.org/10.5194/acp-17-11943-2017, https://doi.org/10.5194/acp-17-11943-2017, 2017
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São Paulo, Brazil, has relatively relaxed regulations for ambient air pollution standards and often presents high air pollution levels due to emissions of airborne particles from local sources and long-range transport of biomass burning smoke. High risks associated with particulate matter exposure were observed in most samples. The results highlighted the contribution of vehicular emissions and the significant input from biomass combustion in the dry season.
Carlos Eduardo Souto-Oliveira, Maria de Fátima Andrade, Prashant Kumar, Fábio Juliano da Silva Lopes, Marly Babinski, and Eduardo Landulfo
Atmos. Chem. Phys., 16, 14635–14656, https://doi.org/10.5194/acp-16-14635-2016, https://doi.org/10.5194/acp-16-14635-2016, 2016
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The Metropolitan Area of São Paulo is the biggest megacity of South America, with over 20 million inhabitants. In recent years, the region has been facing a modification in rain patterns. In this study, we evaluated the effects of local and remote sources of air pollution on cloud-condensation nuclei activation properties. Our results showed that the local vehicular traffic emission products presented more negative effects on cloud-condensation nuclei activation than the remote sources.
A Vara-Vela, M. F. Andrade, P. Kumar, R. Y. Ynoue, and A. G. Muñoz
Atmos. Chem. Phys., 16, 777–797, https://doi.org/10.5194/acp-16-777-2016, https://doi.org/10.5194/acp-16-777-2016, 2016
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This study provides a first step to understand the impact of vehicular emissions on the formation of secondary particles as well as the feedback between these particles and meteorology in the Sao Paulo Metropolitan Area (SPMA). Among the main research findings are:
- The emissions of primary gases from vehicles led to a production between 20 and 30 % due to new particles formation in relation to the total mass concentration PM2.5 in the downtown SPMA.
J. F. Peng, M. Hu, Z. B. Wang, X. F. Huang, P. Kumar, Z. J. Wu, S. Guo, D. L. Yue, D. J. Shang, Z. Zheng, and L. Y. He
Atmos. Chem. Phys., 14, 10249–10265, https://doi.org/10.5194/acp-14-10249-2014, https://doi.org/10.5194/acp-14-10249-2014, 2014
M. Zimnoch, P. Wach, L. Chmura, Z. Gorczyca, K. Rozanski, J. Godlowska, J. Mazur, K. Kozak, and A. Jeričević
Atmos. Chem. Phys., 14, 9567–9581, https://doi.org/10.5194/acp-14-9567-2014, https://doi.org/10.5194/acp-14-9567-2014, 2014
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Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Aerosol–meteorology feedback diminishes the transboundary transport of black carbon into the Tibetan Plateau
Associations of interannual variation in summer tropospheric ozone with the Western Pacific Subtropical High in China from 1999 to 2017
Climate intervention using marine cloud brightening (MCB) compared with stratospheric aerosol injection (SAI) in the UKESM1 climate model
Comparison of six approaches to predicting droplet activation of surface active aerosol – Part 2: Strong surfactants
Increased importance of aerosol–cloud interactions for surface PM2.5 pollution relative to aerosol–radiation interactions in China with the anthropogenic emission reductions
The role of temporal scales in extracting dominant meteorological drivers of major airborne pollutants
Biomass-burning smoke's properties and its interactions with marine stratocumulus clouds in WRF-CAM5 and southeastern Atlantic field campaigns
Air pollution trapping in the Dresden Basin from gray-zone scale urban modeling
The effect of atmospherically relevant aminium salts on water uptake
The impact of aerosols on stratiform clouds over southern West Africa: a large-eddy-simulation study
Numerical simulation and evaluation of global ultrafine particle concentrations at the Earth's surface
New particle formation induced by anthropogenic-biogenic interactions in the southeastern Tibetan Plateau
Observationally constrained analysis of sulfur cycle in the marine atmosphere with NASA ATom measurements and AeroCom model simulations
The underappreciated role of transboundary pollution in future air quality and health improvements in China
The export of African mineral dust across the Atlantic and its impact over the Amazon Basin
Assimilation of POLDER observations to estimate aerosol emissions
Effect of radiation interaction and aerosol processes on ventilation and aerosol concentrations in a real urban neighbourhood in Helsinki
Atlantic Multidecadal Oscillation modulates the relationship between El Niño–Southern Oscillation and fire weather in Australia
Investigation of observed dust trends over the Middle East region in NASA GEOS Earth system model simulations
Assessing the Assimilation of Himawari-8 observations on Aerosol Forecasts and Radiative Effects During Pollution Transport from South Asia to the Tibetan Plateau
Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing
Impacts of reducing scattering and absorbing aerosols on the temporal extent and intensity of South Asian summer monsoon and East Asian summer monsoon
Expanding the simulation of East Asian Super Dust Storm: Physical transport mechanism impacting the Western Pacific
Superimposed effects of typical local circulations driven by mountainous topography and aerosol–radiation interaction on heavy haze in the Beijing–Tianjin–Hebei central and southern plains in winter
Multi-model ensemble projection of the global dust cycle by the end of 21st century using the Coupled Model Intercomparison Project version 6 data
A thermodynamic framework for bulk–surface partitioning in finite-volume mixed organic–inorganic aerosol particles and cloud droplets
The contribution of residential wood combustion to the PM2.5 concentrations in the Helsinki Metropolitan Area
Change from aerosol-driven to cloud-feedback-driven trend in short-wave radiative flux over the North Atlantic
A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions
Opinion: The importance of historical and paleoclimate aerosol radiative effects
A new process-based and scale-aware desert dust emission scheme for global climate models – Part II: evaluation in the Community Earth System Model (CESM2)
Transported aerosols regulate the pre-monsoon rainfall over north-east India: a WRF-Chem modelling study
Observationally constrained regional variations of shortwave absorption by iron oxides emphasize the cooling effect of dust
Collision-sticking rates of acid–base clusters in the gas phase determined from atomistic simulation and a novel analytical interacting hard-sphere model
Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties
Analysis of atmospheric particle growth based on vapor concentrations measured at the high-altitude GAW station Chacaltaya in the Bolivian Andes
Model-based insights into aerosol perturbation on pristine continental convective precipitation
The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations
On the differences in the vertical distribution of modeled aerosol optical depth over the southeastern Atlantic
How well do Earth System Models reproduce observed aerosol changes during the Spring 2020 COVID-19 lockdowns?
A global evaluation of daily to seasonal aerosol and water vapor relationships using a combination of AERONET and NAAPS reanalysis data
Impact of acidity and surface modulated acid dissociation on cloud response to organic aerosol
Local and remote climate impacts of future African aerosol emissions
The dependence of aerosols' global and local precipitation impacts on the emitting region
Assessing the climate and air quality effects of future aerosol mitigation in India using a global climate model combined with statistical downscaling
Aggravated air pollution and health burden due to traffic congestion in urban China
Late summer transition from a free-tropospheric to boundary layer source of Aitken mode aerosol in the high Arctic
Self-lofting of wildfire smoke in the troposphere and stratosphere: simulations and space lidar observations
Improving 3-day deterministic air pollution forecasts using machine learning algorithms
Role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds
Yuling Hu, Haipeng Yu, Shichang Kang, Junhua Yang, Mukesh Rai, Xiufeng Yin, Xintong Chen, and Pengfei Chen
Atmos. Chem. Phys., 24, 85–107, https://doi.org/10.5194/acp-24-85-2024, https://doi.org/10.5194/acp-24-85-2024, 2024
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The Tibetan Plateau (TP) saw a record-breaking aerosol pollution event from April 20 to May 10, 2016. We studied the impact of aerosol–meteorology feedback on the transboundary transport flux of black carbon (BC) during this severe pollution event. It was found that the aerosol–meteorology feedback decreases the transboundary transport flux of BC from the central and western Himalayas towards the TP. This study is of great significance for the protection of the ecological environment of the TP.
Xiaodong Zhang, Ruiyu Zhugu, Xiaohu Jian, Xinrui Liu, Kaijie Chen, Shu Tao, Junfeng Liu, Hong Gao, Tao Huang, and Jianmin Ma
Atmos. Chem. Phys., 23, 15629–15642, https://doi.org/10.5194/acp-23-15629-2023, https://doi.org/10.5194/acp-23-15629-2023, 2023
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WRF-Chem modeling was conducted to assess impacts of Western Pacific Subtropical High Pressure (WPSH) on interannual fluctuations of O3 pollution in China. We find that, while precursor emissions dominated the long-term trend and magnitude of O3 from 1999 to 2017, WPSH determined interannual variation of summer O3. The response of O3 pollution to WPSH in major urban clusters depended on the proximity of these urban areas to WPSH. The results could help long-term O3 pollution mitigation planning.
Jim M. Haywood, Andy Jones, Anthony C. Jones, Paul Halloran, and Philip J. Rasch
Atmos. Chem. Phys., 23, 15305–15324, https://doi.org/10.5194/acp-23-15305-2023, https://doi.org/10.5194/acp-23-15305-2023, 2023
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The difficulties in ameliorating global warming and the associated climate change via conventional mitigation are well documented, with all climate model scenarios exceeding 1.5 °C above the preindustrial level in the near future. There is therefore a growing interest in geoengineering to reflect a greater proportion of sunlight back to space and offset some of the global warming. We use a state-of-the-art Earth-system model to investigate two of the most prominent geoengineering strategies.
Sampo Vepsäläinen, Silvia M. Calderón, and Nønne L. Prisle
Atmos. Chem. Phys., 23, 15149–15164, https://doi.org/10.5194/acp-23-15149-2023, https://doi.org/10.5194/acp-23-15149-2023, 2023
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Atmospheric aerosols act as seeds for cloud formation. Many aerosols contain surface active material that accumulates at the surface of growing droplets. This can affect cloud droplet activation, but the broad significance of the effect and the best way to model it are still debated. We compare predictions of six models to surface activity of strongly surface active aerosol and find significant differences between the models, especially with large fractions of surfactant in the dry particles.
Da Gao, Bin Zhao, Shuxiao Wang, Yuan Wang, Brian Gaudet, Yun Zhu, Xiaochun Wang, Jiewen Shen, Shengyue Li, Yicong He, Dejia Yin, and Zhaoxin Dong
Atmos. Chem. Phys., 23, 14359–14373, https://doi.org/10.5194/acp-23-14359-2023, https://doi.org/10.5194/acp-23-14359-2023, 2023
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Surface PM2.5 concentrations can be enhanced by aerosol–radiation interactions (ARIs) and aerosol–cloud interactions (ACIs). In this study, we found PM2.5 enhancement induced by ACIs shows a significantly smaller decrease ratio than that induced by ARIs in China with anthropogenic emission reduction from 2013 to 2021, making ACIs more important for enhancing PM2.5 concentrations. ACI-induced PM2.5 enhancement needs to be emphatically considered to meet the national PM2.5 air quality standard.
Miaoqing Xu, Jing Yang, Manchun Li, Xiao Chen, Qiancheng Lv, Qi Yao, Bingbo Gao, and Ziyue Chen
Atmos. Chem. Phys., 23, 14065–14076, https://doi.org/10.5194/acp-23-14065-2023, https://doi.org/10.5194/acp-23-14065-2023, 2023
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Although the temporal-scale effects on PM2.5–meteorology associations have been discussed, no quantitative evidence has proved this before. Based on rare 3 h meteorology data, we revealed that the dominant meteorological factor for PM2.5 concentrations across China extracted at the 3 h and 24 h scales presented large variations. This research suggests that data sources of different temporal scales should be comprehensively considered for better attribution and prevention of airborne pollution.
Calvin Howes, Pablo E. Saide, Hugh Coe, Amie Dobracki, Steffen Freitag, Jim M. Haywood, Steven G. Howell, Siddhant Gupta, Janek Uin, Mary Kacarab, Chongai Kuang, L. Ruby Leung, Athanasios Nenes, Greg M. McFarquhar, James Podolske, Jens Redemann, Arthur J. Sedlacek, Kenneth L. Thornhill, Jenny P. S. Wong, Robert Wood, Huihui Wu, Yang Zhang, Jianhao Zhang, and Paquita Zuidema
Atmos. Chem. Phys., 23, 13911–13940, https://doi.org/10.5194/acp-23-13911-2023, https://doi.org/10.5194/acp-23-13911-2023, 2023
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To better understand smoke properties and its interactions with clouds, we compare the WRF-CAM5 model with observations from ORACLES, CLARIFY, and LASIC field campaigns in the southeastern Atlantic in August 2017. The model transports and mixes smoke well but does not fully capture some important processes. These include smoke chemical and physical aging over 4–12 days, smoke removal by rain, sulfate particle formation, aerosol activation into cloud droplets, and boundary layer turbulence.
Michael Weger and Bernd Heinold
Atmos. Chem. Phys., 23, 13769–13790, https://doi.org/10.5194/acp-23-13769-2023, https://doi.org/10.5194/acp-23-13769-2023, 2023
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This study investigates the effects of complex terrain on air pollution trapping using a numerical model which simulates the dispersion of emissions under real meteorological conditions. The additionally simulated aerosol age allows us to distinguish areas that accumulate aerosol over time from areas that are more influenced by fresh emissions. The Dresden Basin, a widened section of the Elbe Valley in eastern Germany, is selected as the target area in a case study to demonstrate the concept.
Noora Hyttinen
Atmos. Chem. Phys., 23, 13809–13817, https://doi.org/10.5194/acp-23-13809-2023, https://doi.org/10.5194/acp-23-13809-2023, 2023
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Water activity in aerosol particles describes how particles respond to variations in relative humidity. Here, water activities were calculated for a set of 80 salts that may be present in aerosol particles using a state-of-the-art quantum-chemistry-based method. The effect of the dissociated salt on water activity varies with both the cation and anion. Most of the studied salts increase water uptake compared to pure water-soluble organic particles.
Lambert Delbeke, Chien Wang, Pierre Tulet, Cyrielle Denjean, Maurin Zouzoua, Nicolas Maury, and Adrien Deroubaix
Atmos. Chem. Phys., 23, 13329–13354, https://doi.org/10.5194/acp-23-13329-2023, https://doi.org/10.5194/acp-23-13329-2023, 2023
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Low-level stratiform clouds (LLSCs) appear frequently over southern West Africa during the West African monsoon. Local and remote aerosol sources (biomass burning aerosols from central Africa) play a significant role in the LLSC life cycle. Based on measurements by the DACCIWA campaign, large-eddy simulation (LES) was conducted using different aerosol scenarios. The results show that both indirect and semi-direct effects can act individually or jointly to influence the life cycles of LLSCs.
Matthias Kohl, Jos Lelieveld, Sourangsu Chowdhury, Sebastian Ehrhart, Disha Sharma, Yafang Cheng, Sachchida Nand Tripathi, Mathew Sebastian, Govindan Pandithurai, Hongli Wang, and Andrea Pozzer
Atmos. Chem. Phys., 23, 13191–13215, https://doi.org/10.5194/acp-23-13191-2023, https://doi.org/10.5194/acp-23-13191-2023, 2023
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Knowledge on atmospheric ultrafine particles (UFPs) with a diameter smaller than 100 nm is crucial for public health and the hydrological cycle. We present a new global dataset of UFP concentrations at the Earth's surface derived with a comprehensive chemistry–climate model and evaluated with ground-based observations. The evaluation results are combined with high-resolution primary emissions to downscale UFP concentrations to an unprecedented horizontal resolution of 0.1° × 0.1°.
Shiyi Lai, Ximeng Qi, Xin Huang, Sijia Lou, Xuguang Chi, Liangduo Chen, Chong Liu, Yuliang Liu, Chao Yan, Mengmeng Li, Tengyu Liu, Wei Nie, Veli-Matti Kerminen, Tuukka Petäjä, Markku Kulmala, and Aijun Ding
EGUsphere, https://doi.org/10.5194/egusphere-2023-1848, https://doi.org/10.5194/egusphere-2023-1848, 2023
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By combining in-situ measurements and chemical transport modeling, this study investigates new particle formation (NPF) in the southeastern Tibetan Plateau. We found that the NPF was driven by the presence of biogenic gases and the transport of anthropogenic precursors. The NPF was vertical heterogeneous and shaped by the vertical mixing. This study highlights the importance of anthropogenic-biogenic interactions and meteorological dynamics in NPF in this climate-sensitive region.
Huisheng Bian, Mian Chin, Peter R. Colarco, Eric C. Apel, Donald R. Blake, Karl Froyd, Rebecca S. Hornbrook, Jose Jimenez, Pedro Campuzano Jost, Michael Lawler, Mingxu Liu, Marianne Tronstad Lund, Hitoshi Matsui, Benjamin A. Nault, Joyce E. Penner, Andrew W. Rollins, Gregory Schill, Ragnhild B. Skeie, Hailong Wang, Lu Xu, Kai Zhang, and Jialei Zhu
EGUsphere, https://doi.org/10.5194/egusphere-2023-1966, https://doi.org/10.5194/egusphere-2023-1966, 2023
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This work studies sulfur in remote troposphere at global and seasonal scales using aircraft measurements and multi-model simulations. The goal is to understand the sulfur cycle over remote oceans, the spread of model simulations, and the observation-model discrepancies. Such understanding and comparison with real observations are crucial to narrow down the uncertainties in model sulfur simulation and improve our understanding of sulfur cycle in atmospheric air quality, climate, and ecosystems.
Jun-Wei Xu, Jintai Lin, Dan Tong, and Lulu Chen
Atmos. Chem. Phys., 23, 10075–10089, https://doi.org/10.5194/acp-23-10075-2023, https://doi.org/10.5194/acp-23-10075-2023, 2023
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This study highlights the necessity of a low-carbon pathway in foreign countries for China to achieve air quality goals and to protect public health. We find that adopting the low-carbon instead of the fossil-fuel-intensive pathway in foreign countries would prevent 63 000–270 000 transboundary PM2.5-associated mortalities in China in 2060. Our study provides direct evidence of the necessity of inter-regional cooperation for air quality improvement.
Xurong Wang, Qiaoqiao Wang, Maria Prass, Christopher Pöhlker, Daniel Moran-Zuloaga, Paulo Artaxo, Jianwei Gu, Ning Yang, Xiajie Yang, Jiangchuan Tao, Juan Hong, Nan Ma, Yafang Cheng, Hang Su, and Meinrat O. Andreae
Atmos. Chem. Phys., 23, 9993–10014, https://doi.org/10.5194/acp-23-9993-2023, https://doi.org/10.5194/acp-23-9993-2023, 2023
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In this work, with an optimized particle mass size distribution, we captured observed aerosol optical depth (AOD) and coarse aerosol concentrations over source and/or receptor regions well, demonstrating good performance in simulating export of African dust toward the Amazon Basin. In addition to factors controlling the transatlantic transport of African dust, the study investigated the impact of African dust over the Amazon Basin, including the nutrient inputs associated with dust deposition.
Athanasios Tsikerdekis, Otto P. Hasekamp, Nick A. J. Schutgens, and Qirui Zhong
Atmos. Chem. Phys., 23, 9495–9524, https://doi.org/10.5194/acp-23-9495-2023, https://doi.org/10.5194/acp-23-9495-2023, 2023
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Aerosols are tiny particles of different substances (species) that can be emitted into the atmosphere by natural processes or by anthropogenic activities. However, the actual aerosol emission amount per species is highly uncertain. Thus in this work we correct the aerosol emissions used to drive a global aerosol–climate model using satellite observations through a process called data assimilation. These more accurate aerosol emissions can lead to a more accurate weather and climate prediction.
Jani Strömberg, Xiaoyu Li, Mona Kurppa, Heino Kuuluvainen, Liisa Pirjola, and Leena Järvi
Atmos. Chem. Phys., 23, 9347–9364, https://doi.org/10.5194/acp-23-9347-2023, https://doi.org/10.5194/acp-23-9347-2023, 2023
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We conclude that with low wind speeds, solar radiation has a larger decreasing effect (53 %) on pollutant concentrations than aerosol processes (18 %). Additionally, our results showed that with solar radiation included, pollutant concentrations were closer to observations (−13 %) than with only aerosol processes (+98 %). This has implications when planning simulations under calm conditions such as in our case and when deciding whether or not simulations need to include these processes.
Guanyu Liu, Jing Li, and Tong Ying
Atmos. Chem. Phys., 23, 9217–9228, https://doi.org/10.5194/acp-23-9217-2023, https://doi.org/10.5194/acp-23-9217-2023, 2023
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Fires in Australia are positively correlated with the El Niño–Southern Oscillation (ENSO). However, the correlation between ENSO and the Australian Fire Weather Index (FWI) increases from 0.17 to 0.70 when the Atlantic Multidecadal Oscillation (AMO) shifts from a negative to positive phase. This is explained by the teleconnection effect through which the warmer AMO generates Rossby wave trains and results in high pressures and a weather condition conducive to wildfires.
Adriana Rocha-Lima, Peter R. Colarco, Anton S. Darmenov, Edward P. Nowottnick, Arlindo M. da Silva, and Luke D. Oman
EGUsphere, https://doi.org/10.5194/egusphere-2023-1325, https://doi.org/10.5194/egusphere-2023-1325, 2023
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Observations show increasing trend of AOD in the Middle East between 2003–2012. This study evaluates the ability of the NASA GEOS model to capture these dust trends and examines the meteorological and surface parameters that drive dust emissions. The results obtained highlight the importance of data assimilation to capture the long-term trends of atmospheric aerosols and support the hypothesis that the loss of vegetation cover may have contributed to the increase in dust emissions in the period.
Min Zhao, Tie Dai, Daisuke Goto, Hao Wang, and Guangyu Shi
EGUsphere, https://doi.org/10.5194/egusphere-2023-1581, https://doi.org/10.5194/egusphere-2023-1581, 2023
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During a springtime pollution input from South Asia to the Tibetan Plateau, we combined atmospheric chemistry modeling and data assimilation methods to assimilate and forecast aerosols from South Asia and the Tibetan Plateau. Assimilation of observations over a whole time window leads to a more reasonable distribution of daily variations in the aerosol forecast field. We also find that aerosol assimilation can improve the surface solar energy forecast in the Tibetan Plateau region.
Leighton A. Regayre, Lucia Deaconu, Daniel P. Grosvenor, David M. H. Sexton, Christopher Symonds, Tom Langton, Duncan Watson-Paris, Jane P. Mulcahy, Kirsty J. Pringle, Mark Richardson, Jill S. Johnson, John W. Rostron, Hamish Gordon, Grenville Lister, Philip Stier, and Ken S. Carslaw
Atmos. Chem. Phys., 23, 8749–8768, https://doi.org/10.5194/acp-23-8749-2023, https://doi.org/10.5194/acp-23-8749-2023, 2023
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Aerosol forcing of Earth’s energy balance has persisted as a major cause of uncertainty in climate simulations over generations of climate model development. We show that structural deficiencies in a climate model are exposed by comprehensively exploring parametric uncertainty and that these deficiencies limit how much the model uncertainty can be reduced through observational constraint. This provides a future pathway towards building models with greater physical realism and lower uncertainty.
Chenwei Fang, Jim M. Haywood, Ju Liang, Ben T. Johnson, Ying Chen, and Bin Zhu
Atmos. Chem. Phys., 23, 8341–8368, https://doi.org/10.5194/acp-23-8341-2023, https://doi.org/10.5194/acp-23-8341-2023, 2023
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The responses of Asian summer monsoon duration and intensity to air pollution mitigation are identified given the net-zero future. We show that reducing scattering aerosols makes the rainy season longer and stronger across South Asia and East Asia but that absorbing aerosol reduction has the opposite effect. Our results hint at distinct monsoon responses to emission controls that target different aerosols.
Steven Soon-Kai Kong, Saginela Ravindra Babu, Sheng-Hsiang Wang, Stephen M. Griffith, Jackson Hian-Wui Chang, Ming-Tung Chuang, Guey-Rong Sheu, and Neng-Huei Lin
EGUsphere, https://doi.org/10.5194/egusphere-2023-1245, https://doi.org/10.5194/egusphere-2023-1245, 2023
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In this study, we combined ground observations from the 7-SEAS Dongsha Experiment, MERRA-2 reanalysis, and MODIS satellite images for evaluation and improvement of the CMAQ dust model for cases of EAD reaching the Taiwan region, including Dongsha Island in the western Pacific. We proposed a better CMAQ dust treatment over East Asia and first time revealed the impact of Typhoons on dust transport.
Yue Peng, Hong Wang, Xiaoye Zhang, Zhaodong Liu, Wenjie Zhang, Siting Li, Chen Han, and Huizheng Che
Atmos. Chem. Phys., 23, 8325–8339, https://doi.org/10.5194/acp-23-8325-2023, https://doi.org/10.5194/acp-23-8325-2023, 2023
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This study demonstrates a strong link between local circulation, aerosol–radiation interaction (ARI), and haze pollution. Under the weak weather-scale systems, the typical local circulation driven by mountainous topography is the main cause of pollutant distribution in the Beijing–Tianjin–Hebei region, and the ARI mechanism amplifies this influence of local circulation on pollutants, making haze pollution aggravated by the superposition of both.
Yuan Zhao, Xu Yue, Yang Cao, Jun Zhu, Chenguang Tian, Hao Zhou, Yuwen Chen, Yihan Hu, Weijie Fu, and Xu Zhao
Atmos. Chem. Phys., 23, 7823–7838, https://doi.org/10.5194/acp-23-7823-2023, https://doi.org/10.5194/acp-23-7823-2023, 2023
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We project the future changes of dust emissions and loading using an ensemble of model outputs from the Coupled Model Intercomparison Project version 6 under four scenarios. We find increased dust emissions and loading in North Africa, due to increased drought and strengthened surface wind, and decreased dust loading over Asia, following enhanced precipitation. Such a spatial pattern remains similar, though the regional intensity varies among different scenarios.
Ryan Schmedding and Andreas Zuend
Atmos. Chem. Phys., 23, 7741–7765, https://doi.org/10.5194/acp-23-7741-2023, https://doi.org/10.5194/acp-23-7741-2023, 2023
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Aerosol particles below 100 nm in diameter have high surface-area-to-volume ratios. The enrichment of compounds in the surface of an aerosol particle may lead to depletion of that species in the interior bulk of the particle. We present a framework for modeling the equilibrium bulk–surface partitioning of mixed organic–inorganic particles, including cases of co-condensation of semivolatile organic compounds and species with extremely limited solubility in the bulk or surface of a particle.
Leena Kangas, Jaakko Kukkonen, Mari Kauhaniemi, Kari Riikonen, Mikhail Sofiev, Anu Kousa, Jarkko V. Niemi, and Ari Karppinen
EGUsphere, https://doi.org/10.5194/egusphere-2023-1194, https://doi.org/10.5194/egusphere-2023-1194, 2023
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Residential wood combustion is a major source of fine particulate matter. This study has evaluated the contribution of residential wood combustion to fine particle concentrations, and its year-to-year and seasonal variation in Helsinki Metropolitan Area. The average concentrations attributed to wood combustion in winter were up to 10- or 15-fold, compared to summer. Wood combustion caused 12 to 14 % of annual fine particle concentrations. In winter, the contribution ranged from 16 to 21 %.
Daniel P. Grosvenor and Kenneth S. Carslaw
Atmos. Chem. Phys., 23, 6743–6773, https://doi.org/10.5194/acp-23-6743-2023, https://doi.org/10.5194/acp-23-6743-2023, 2023
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We determine what causes long-term trends in short-wave (SW) radiative fluxes in two climate models. A positive trend occurs between 1850 and 1970 (increasing SW reflection) and a negative trend between 1970 and 2014; the pre-1970 positive trend is mainly driven by an increase in cloud droplet number concentrations due to increases in aerosol, and the 1970–2014 trend is driven by a decrease in cloud fraction, which we attribute to changes in clouds caused by greenhouse gas-induced warming.
Danny M. Leung, Jasper F. Kok, Longlei Li, Gregory S. Okin, Catherine Prigent, Martina Klose, Carlos Pérez García-Pando, Laurent Menut, Natalie M. Mahowald, David M. Lawrence, and Marcelo Chamecki
Atmos. Chem. Phys., 23, 6487–6523, https://doi.org/10.5194/acp-23-6487-2023, https://doi.org/10.5194/acp-23-6487-2023, 2023
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Desert dust modeling is important for understanding climate change, as dust regulates the atmosphere's greenhouse effect and radiation. This study formulates and proposes a more physical and realistic desert dust emission scheme for global and regional climate models. By considering more aeolian processes in our emission scheme, our simulations match better against dust observations than existing schemes. We believe this work is vital in improving dust representation in climate models.
Natalie Marie Mahowald, Longlei Li, Samuel Albani, Douglas Stephen Hamilton, and Jasper Kok
EGUsphere, https://doi.org/10.5194/egusphere-2023-1174, https://doi.org/10.5194/egusphere-2023-1174, 2023
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Estimating the past aerosol radiative effects and their uncertainties is an important topic in climate science. Aerosol radiative effects propagate into large uncertainties in estimates of how present and future climate evolves with changing greenhouse gas emissions. A deeper understanding of how aerosols interacted with the atmospheric energy budget under past climates is hindered in part by a lack of relevant paleo observations and in part because less attention has been paid to the problem.
Danny M. Leung, Jasper F. Kok, Longlei Li, Natalie M. Mahowald, David M. Lawrence, Simone Tilmes, Erik Kluzek, Martina Klose, and Carlos Pérez García-Pando
EGUsphere, https://doi.org/10.5194/egusphere-2023-823, https://doi.org/10.5194/egusphere-2023-823, 2023
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This study uses a premier Earth system model to evaluate a new desert dust emission scheme proposed in our companion paper. We show that our scheme accounts for more dust emission physics, hence matching better against observations than other existing dust emission schemes do. Our scheme's dust emissions also couple tightly with meteorology, hence likely improving the modeled dust sensitivity to climate change. We believe this work is vital for improving dust representation in climate models.
Neeldip Barman and Sharad Gokhale
Atmos. Chem. Phys., 23, 6197–6215, https://doi.org/10.5194/acp-23-6197-2023, https://doi.org/10.5194/acp-23-6197-2023, 2023
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The study shows that during the pre-monsoon season transported aerosols, especially from the Indo-Gangetic Plain (IGP), have a greater impact with respect to air pollution, radiative forcing and rainfall over north-east (NE) India than emissions from within NE India itself. Hence, controlling emissions in the IGP will be significantly more fruitful in reducing pollution as well as climatic impacts over this region.
Vincenzo Obiso, María Gonçalves Ageitos, Carlos Pérez García-Pando, Gregory L. Schuster, Susanne E. Bauer, Claudia Di Biagio, Paola Formenti, Jan P. Perlwitz, Konstantinos Tsigaridis, and Ronald L. Miller
EGUsphere, https://doi.org/10.5194/egusphere-2023-1166, https://doi.org/10.5194/egusphere-2023-1166, 2023
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We account for regionally varying soil mineral content to calculate the dust shortwave direct radiative effect. Compared to a model with uniform dust composition, our observationally constrained approach reduces dust absorption while increasing its spatio-temporal variation, in better agreement with AERONET. Explicit treatment of mineral content increases cooling by dust. Better measurements of soil minerals and refined modeling techniques are needed to improve estimates of dust-climate impacts.
Huan Yang, Ivo Neefjes, Valtteri Tikkanen, Jakub Kubečka, Theo Kurtén, Hanna Vehkamäki, and Bernhard Reischl
Atmos. Chem. Phys., 23, 5993–6009, https://doi.org/10.5194/acp-23-5993-2023, https://doi.org/10.5194/acp-23-5993-2023, 2023
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We present a new analytical model for collision rates between molecules and clusters of arbitrary sizes, accounting for long-range interactions. The model is verified against atomistic simulations of typical acid–base clusters participating in atmospheric new particle formation (NPF). Compared to non-interacting models, accounting for long-range interactions leads to 2–3 times higher collision rates for small clusters, indicating the necessity of including such interactions in NPF modeling.
Haihui Zhu, Randall V. Martin, Betty Croft, Shixian Zhai, Chi Li, Liam Bindle, Jeffrey R. Pierce, Rachel Y.-W. Chang, Bruce E. Anderson, Luke D. Ziemba, Johnathan W. Hair, Richard A. Ferrare, Chris A. Hostetler, Inderjeet Singh, Deepangsu Chatterjee, Jose L. Jimenez, Pedro Campuzano-Jost, Benjamin A. Nault, Jack E. Dibb, Joshua S. Schwarz, and Andrew Weinheimer
Atmos. Chem. Phys., 23, 5023–5042, https://doi.org/10.5194/acp-23-5023-2023, https://doi.org/10.5194/acp-23-5023-2023, 2023
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Particle size of atmospheric aerosol is important for estimating its climate and health effects, but simulating atmospheric aerosol size is computationally demanding. This study derives a simple parameterization of the size of organic and secondary inorganic ambient aerosol that can be applied to atmospheric models. Applying this parameterization allows a better representation of the global spatial pattern of aerosol size, as verified by ground and airborne measurements.
Arto Heitto, Cheng Wu, Diego Aliaga, Luis Blacutt, Xuemeng Chen, Yvette Gramlich, Liine Heikkinen, Wei Huang, Radovan Krejci, Paolo Laj, Isabel Moreno, Karine Sellegri, Fernando Velarde, Kay Weinhold, Alfred Wiedensohler, Qiaozhi Zha, Federico Bianchi, Marcos Andrade, Kari E. J. Lehtinen, Claudia Mohr, and Taina Yli-Juuti
EGUsphere, https://doi.org/10.5194/egusphere-2023-526, https://doi.org/10.5194/egusphere-2023-526, 2023
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Particle growth at Chacaltaya station in Bolivia was simulated based on measured vapor concentrations and ambient conditions. Major contributors to the simulated growth were low volatile organic compounds (LVOC). Also sulfuric acid had major role when volcanic activity was occurring in the area. This study provides insight on nanoparticle growth at this high-altitude Southern Hemispheric site and hence contributes to building the knowledge on early growth of atmospheric particles.
Mengjiao Jiang, Yaoting Li, Weiji Hu, Yinshan Yang, Guy Brasseur, and Xi Zhao
Atmos. Chem. Phys., 23, 4545–4557, https://doi.org/10.5194/acp-23-4545-2023, https://doi.org/10.5194/acp-23-4545-2023, 2023
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Relatively clean background aerosol over the Tibetan Plateau makes the study of aerosol–cloud–precipitation interactions distinctive. A convection on 24 July 2014 in Naqu was selected using the Weather Research Forecasting (WRF) model, including the Thompson aerosol-aware microphysical scheme. Our study uses a compromise approach to the limited observations. We show that the transformation of cloud water to graupel and the development of convective clouds are favored in a polluted situation.
Pantelis Kiriakidis, Antonis Gkikas, Georgios Papangelis, Theodoros Christoudias, Jonilda Kushta, Emmanouil Proestakis, Anna Kampouri, Eleni Marinou, Eleni Drakaki, Angela Benedetti, Michael Rennie, Christian Retscher, Anne Grete Straume, Alexandru Dandocsi, Jean Sciare, and Vasilis Amiridis
Atmos. Chem. Phys., 23, 4391–4417, https://doi.org/10.5194/acp-23-4391-2023, https://doi.org/10.5194/acp-23-4391-2023, 2023
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With the launch of the Aeolus satellite, higher-accuracy wind products became available. This research was carried out to validate the assimilated wind products by testing their effect on the WRF-Chem model predictive ability of dust processes. This was carried out for the eastern Mediterranean and Middle East region for two 2-month periods in autumn and spring 2020. The use of the assimilated products improved the dust forecasts of the autumn season (both quantitatively and qualitatively).
Ian Chang, Lan Gao, Connor J. Flynn, Yohei Shinozuka, Sarah J. Doherty, Michael S. Diamond, Karla M. Longo, Gonzalo A. Ferrada, Gregory R. Carmichael, Patricia Castellanos, Arlindo M. da Silva, Pablo E. Saide, Calvin Howes, Zhixin Xue, Marc Mallet, Ravi Govindaraju, Qiaoqiao Wang, Yafang Cheng, Yan Feng, Sharon P. Burton, Richard A. Ferrare, Samuel E. LeBlanc, Meloë S. Kacenelenbogen, Kristina Pistone, Michal Segal-Rozenhaimer, Kerry G. Meyer, Ju-Mee Ryoo, Leonhard Pfister, Adeyemi A. Adebiyi, Robert Wood, Paquita Zuidema, Sundar A. Christopher, and Jens Redemann
Atmos. Chem. Phys., 23, 4283–4309, https://doi.org/10.5194/acp-23-4283-2023, https://doi.org/10.5194/acp-23-4283-2023, 2023
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Abundant aerosols are present above low-level liquid clouds over the southeastern Atlantic during late austral spring. The model simulation differences in the proportion of aerosol residing in the planetary boundary layer and in the free troposphere can greatly affect the regional aerosol radiative effects. This study examines the aerosol loading and fractional aerosol loading in the free troposphere among various models and evaluates them against measurements from the NASA ORACLES campaign.
Ruth A. R. Digby, Nathan P. Gillett, Adam H. Monahan, Knut von Salzen, Antonis Gkikas, Qianqian Song, and Zhibo Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2023-432, https://doi.org/10.5194/egusphere-2023-432, 2023
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The COVID-19 lockdowns reduced aerosol emissions. We ask whether these reductions affected regional aerosol optical depth (AOD), and compare the observed changes to predictions from Earth System Models. Only India shows an observed AOD reduction outside of typical variability. Models overestimate the response, but when necessary factors have been accounted for, the agreement is improved. Our results suggest that current models can realistically predict the effects of future emission changes.
Juli I. Rubin, Jeffrey S. Reid, Peng Xian, Christopher M. Selman, and Thomas F. Eck
Atmos. Chem. Phys., 23, 4059–4090, https://doi.org/10.5194/acp-23-4059-2023, https://doi.org/10.5194/acp-23-4059-2023, 2023
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This work aims to quantify the covariability between aerosol optical depth/extinction with water vapor (PW) globally, using NASA AERONET observations and NAAPS model data. Findings are important for data assimilation and radiative transfer. The study shows statistically significant and positive AOD–PW relationships are found across the globe, varying in strength with location and season and tied to large-scale aerosol events. Hygroscopic growth was also found to be an important factor.
Gargi Sengupta, Minjie Zheng, and Nønne L. Prisle
EGUsphere, https://doi.org/10.5194/egusphere-2023-438, https://doi.org/10.5194/egusphere-2023-438, 2023
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The effect of organic acid aerosol on sulfur chemistry and cloud properties was investigated in an atmospheric model. Organic acid dissociation was considered using both bulk and surface related properties. We found that organic acid dissociation leads to increased hydrogen ion concentrations and sulfate aerosol mass in aqueous aerosols, increasing cloud formation. This could be important in large scale climate models as many organic aerosol components are both acidic and surface-active.
Christopher D. Wells, Matthew Kasoar, Nicolas Bellouin, and Apostolos Voulgarakis
Atmos. Chem. Phys., 23, 3575–3593, https://doi.org/10.5194/acp-23-3575-2023, https://doi.org/10.5194/acp-23-3575-2023, 2023
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The climate is altered by greenhouse gases and air pollutant particles, and such emissions are likely to change drastically in the future over Africa. Air pollutants do not travel far, so their climate effect depends on where they are emitted. This study uses a climate model to find the climate impacts of future African pollutant emissions being either high or low. The particles absorb and scatter sunlight, causing the ground nearby to be cooler, but elsewhere the increased heat causes warming.
Geeta G. Persad
Atmos. Chem. Phys., 23, 3435–3452, https://doi.org/10.5194/acp-23-3435-2023, https://doi.org/10.5194/acp-23-3435-2023, 2023
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Human-induced aerosol pollution has major impacts on both local and global precipitation. This study demonstrates using a global climate model that both the strength and localization of aerosols' precipitation impacts are highly dependent on which region the aerosols are emitted from. The findings highlight that the geographic distribution of human-induced aerosol emissions must be accounted for when quantifying their influence on global precipitation.
Tuuli Miinalainen, Harri Kokkola, Antti Lipponen, Antti-Pekka Hyvärinen, Vijay Kumar Soni, Kari E. J. Lehtinen, and Thomas Kühn
Atmos. Chem. Phys., 23, 3471–3491, https://doi.org/10.5194/acp-23-3471-2023, https://doi.org/10.5194/acp-23-3471-2023, 2023
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We simulated the effects of aerosol emission mitigation on both global and regional radiative forcing and city-level air quality with a global-scale climate model. We used a machine learning downscaling approach to bias-correct the PM2.5 values obtained from the global model for the Indian megacity New Delhi. Our results indicate that aerosol mitigation could result in both improved air quality and less radiative heating for India.
Peng Wang, Ruhan Zhang, Shida Sun, Meng Gao, Bo Zheng, Dan Zhang, Yanli Zhang, Gregory R. Carmichael, and Hongliang Zhang
Atmos. Chem. Phys., 23, 2983–2996, https://doi.org/10.5194/acp-23-2983-2023, https://doi.org/10.5194/acp-23-2983-2023, 2023
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In China, the number of vehicles has jumped significantly in the last decade. This caused severe traffic congestion and aggravated air pollution. In this study, we developed a new temporal allocation approach to quantify the impacts of traffic congestion. We found that traffic congestion worsens air quality and the health burden across China, especially in the urban clusters. More effective and comprehensive vehicle emission control policies should be implemented to improve air quality in China.
Ruth Price, Andrea Baccarini, Julia Schmale, Paul Zieger, Ian M. Brooks, Paul Field, and Ken S. Carslaw
Atmos. Chem. Phys., 23, 2927–2961, https://doi.org/10.5194/acp-23-2927-2023, https://doi.org/10.5194/acp-23-2927-2023, 2023
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Arctic clouds can control how much energy is absorbed by the surface or reflected back to space. Using a computer model of the atmosphere we investigated the formation of atmospheric particles that allow cloud droplets to form. We found that particles formed aloft are transported to the lowest part of the Arctic atmosphere and that this is a key source of particles. Our results have implications for the way Arctic clouds will behave in the future as climate change continues to impact the region.
Kevin Ohneiser, Albert Ansmann, Jonas Witthuhn, Hartwig Deneke, Alexandra Chudnovsky, Gregor Walter, and Fabian Senf
Atmos. Chem. Phys., 23, 2901–2925, https://doi.org/10.5194/acp-23-2901-2023, https://doi.org/10.5194/acp-23-2901-2023, 2023
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This study shows that smoke layers can reach the tropopause via the self-lofting effect within 3–7 d in the absence of pyrocumulonimbus convection if the
aerosol optical thickness is larger than approximately 2 for a longer time period. When reaching the stratosphere, wildfire smoke can sensitively influence the stratospheric composition on a hemispheric scale and thus can affect the Earth’s climate and the ozone layer.
Christer Johansson, Zhiguo Zhang, Magnuz Engardt, Massimo Stafoggia, and Xiaoliang Ma
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2023-38, https://doi.org/10.5194/acp-2023-38, 2023
Revised manuscript accepted for ACP
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Up-to-date information on present and coming days’ air quality help people avoid exposure to high levels of air pollution. We apply different machine learning models to significantly improve traditional forecasts of PM10, NOx, and O3 in Stockholm, Sweden. It is shown that forecasts of all air pollutants are improved by through the input of lagged measurements and taking into account calendar information. The final modelled errors are substantially smaller than uncertainties in the measurements.
Marios Chatziparaschos, Nikos Daskalakis, Stelios Myriokefalitakis, Nikos Kalivitis, Athanasios Nenes, María Gonçalves Ageitos, Montserrat Costa-Surós, Carlos Pérez García-Pando, Medea Zanoli, Mihalis Vrekoussis, and Maria Kanakidou
Atmos. Chem. Phys., 23, 1785–1801, https://doi.org/10.5194/acp-23-1785-2023, https://doi.org/10.5194/acp-23-1785-2023, 2023
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Ice formation is enabled by ice-nucleating particles (INP) at higher temperatures than homogeneous formation and can profoundly affect the properties of clouds. Our global model results show that K-feldspar is the most important contributor to INP concentrations globally, affecting mid-level mixed-phase clouds. However, quartz can significantly contribute and dominates the lowest and the highest altitudes of dust-derived INP, affecting mainly low-level and high-level mixed-phase clouds.
Cited articles
Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe, Official Journal of the European Union L 152, 11 June 2008, 1–44,
available at: http://data.europa.eu/eli/dir/2008/50/oj, last access: 18 May 2020.
Allen, G., Sioutas, C., Koutrakis, P., Reiss, R., Lurmann, F. W., and Roberts,
P. T.: Evaluation of the TEOM® Method for Measurement of
Ambient Particulate Mass in Urban Areas, JAPCA J. Air Waste
Ma., 47, 682–689, https://doi.org/10.1080/10473289.1997.10463923,
1997. a, b
Amato, F., Pandolfi, M., Escrig, A., Querol, X., Alastuey, A., Pey, J., Perez,
N., and Hopke, P.: Quantifying road dust resuspension in urban environment
by Multilinear Engine: A comparison with PMF2, Atmos. Environ., 43,
2770–2780, https://doi.org/10.1016/J.ATMOSENV.2009.02.039, 2009. a
Anderson, H.: Air pollution and mortality: A history, Atmos.
Environ., 43, 142–152, https://doi.org/10.1016/J.ATMOSENV.2008.09.026, 2009. a
Andreae, M. O., Jones, C. D., and Cox, P. M.: Strong present-day aerosol
cooling implies a hot future, Nature, 435, 1187–1190,
https://doi.org/10.1038/nature03671, 2005. a
AQMEII: AQMEII, available at: https://aqmeii.jrc.ec.europa.eu/ (last accessed: 2 February 2020),
2012. a
Baklanov, A., Schlünzen, K., Suppan, P., Baldasano, J., Brunner, D., Aksoyoglu, S., Carmichael, G., Douros, J., Flemming, J., Forkel, R., Galmarini, S., Gauss, M., Grell, G., Hirtl, M., Joffre, S., Jorba, O., Kaas, E., Kaasik, M., Kallos, G., Kong, X., Korsholm, U., Kurganskiy, A., Kushta, J., Lohmann, U., Mahura, A., Manders-Groot, A., Maurizi, A., Moussiopoulos, N., Rao, S. T., Savage, N., Seigneur, C., Sokhi, R. S., Solazzo, E., Solomos, S., Sørensen, B., Tsegas, G., Vignati, E., Vogel, B., and Zhang, Y.: Online coupled regional meteorology chemistry models in Europe: current status and prospects, Atmos. Chem. Phys., 14, 317–398, https://doi.org/10.5194/acp-14-317-2014, 2014. a
Baró, R., Jiménez-Guerrero, P., Balzarini, A., Curci, G., Forkel,
R., Grell, G., Hirtl, M., Honzak, L., Langer, M., Pérez, J. L.,
Pirovano, G., San José, R., Tuccella, P., Werhahn, J., and
Žabkar, R.: Sensitivity analysis of the microphysics scheme in
WRF-Chem contributions to AQMEII phase 2, Atmos. Environ., 115,
620–629, https://doi.org/10.1016/J.ATMOSENV.2015.01.047, 2015. a, b, c, d
Berge, E. and Jakobsen, H. A.: A regional scale multilayer model for the
calculation of long-term transport and deposition of air pollution in
Europe, Tellus B, 50, 205–223,
https://doi.org/10.3402/tellusb.v50i3.16097, 1998. a
Bernier, N. B. and Bélair, S.: High horizontal and vertical resolution
limited-area model: Near-surface and wind energy forecast applications,
J. Appl. Meteorol. Clim., 51, 1061–1078,
https://doi.org/10.1175/JAMC-D-11-0197.1, 2012. a
Blunden, J., Arndt, D. S., Scambos, T. A., Thiaw, W. M., Thorne, P. W., Weaver,
S. J., Willett, K. M., Diamond, H. J., Dolman, A. J., Fogt, R. L., Gregg,
M. C., Hall, B. D., Jeffries, M. O., Newlin, M. L., Renwick, J. A.,
Richter-Menge, J. A., and Sánchez-Lugo, A.: STATE OF THE CLIMATE IN
2011, B. Am. Meteorol. Soc., 93, S1–S264,
https://doi.org/10.1175/2012BAMSStateoftheClimate.1, 2012. a, b, c, d
Boadh, R., Satyanarayana, A., Rama Krishna, T., and Madala, S.: Sensitivity
of PBL schemes of the WRF-ARW model in simulating the boundary layer flow
parameters for their application to air pollution dispersion modeling over a
tropical station, Atmósfera, 29, 61–81,
https://doi.org/10.20937/ATM.2016.29.01.05, 2016. a
Chang, J. C. and Hanna, S. R.: Air quality model performance evaluation,
Meteorol. Atmos. Phys., 87, 167–196,
https://doi.org/10.1007/s00703-003-0070-7, 2004. a, b
Cindrić, K., Telišman Prtenjak, M., Herceg-Bulić, I.,
Mihajlović, D., and Pasarić, Z.: Analysis of the extraordinary
2011/2012 drought in Croatia, Theor. Appl. Climatol., 123, 503–522, https://doi.org/10.1007/s00704-014-1368-8, 2016. a
Dimitriou, K. and Kassomenos, P.: Indicators reflecting local and
transboundary sources of PM2.5 and PMCOARSE in Rome – impacts in air
quality, Atmos. Environ., 96, 154–162,
https://doi.org/10.1016/j.atmosenv.2014.07.029, 2014. a
EC: GuidANCE to the demonstration of equivalence of ambient air monitoring
methods, Tech. rep., European Commission Working Group on Guidance for the
Demonstration of Equivalence, 2010. a
EEA: AirBase, European Environmental Agency, available at: https://www.eea.europa.eu/data-and-maps/data/airbase-the-european-air-quality-database-7 (last access: 12 May 2020), 2012. a
EEA: Air quality in Europe – 2013 report, Tech. Rep. 9/2013, European
Environment Agency, https://doi.org/10.2800/92843, 2013. a, b, c, d
EEA: Air quality in Europe – 2015 report, Tech. Rep. 5/2015, European
Environment Agency, https://doi.org/10.2800/62459, 2015. a
Eisner, A. D. and Wiener, R. W.: Discussion and Evaluation of the Volatility
Test for Equivalency of Other Methods to the Federal Reference Method for
Fine Particulate Matter, Aerosol Sci. Tech., 36, 433–440,
https://doi.org/10.1080/027868202753571250, 2002. a
EMEP: EMEP, available at:
https://emep.int/publ/reports/2016/EMEP_Status_Report_1_2016.pdf
(last access: 2!February 2020), 2016. a
Emmons, L. K., Walters, S., Hess, P. G., Lamarque, J.-F., Pfister, G. G., Fillmore, D., Granier, C., Guenther, A., Kinnison, D., Laepple, T., Orlando, J., Tie, X., Tyndall, G., Wiedinmyer, C., Baughcum, S. L., and Kloster, S.: Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4), Geosci. Model Dev., 3, 43–67, https://doi.org/10.5194/gmd-3-43-2010, 2010. a
EVIRON: User's guide: comprehensive air quality model with extensions (CAMx),
Version 5.3., Tech. rep., ENVIRON International Corporation, Novato, CA,
2010. a
Forkel, R., Balzarini, A., Baró, R., Bianconi, R., Curci, G.,
Jiménez-Guerrero, P., Hirtl, M., Honzak, L., Lorenz, C., Im, U.,
Pérez, J. L., Pirovano, G., San José, R., Tuccella, P.,
Werhahn, J., Žabkar, R., Forkel, R., Balzarini, A., Bar, R., Hirtl, M.,
Honzak, L., Lorenz, C., Im, U., Jim, P., Tuccella, P., Werhahn, J., Pirovano,
G., San, R., and Juan, L. P.: Analysis of the WRF-Chem contributions to
AQMEII phase2 with respect to aerosol radiative feedbacks on meteorology and
pollutant distributions, Atmos. Environ., 115, 630–645,
https://doi.org/10.1016/j.atmosenv.2014.10.056, 2015. a, b, c, d
Forsberg, B., Hansson, H.-C., Johansson, C., Areskoug, H., Persson, K., and
Järvholm, B.: Comparative health impact assessment of local and
regional particulate air pollutants in Scandinavia., Ambio, 34, 11–9, 2005. a
Freitas, S. R., Longo, K. M., Alonso, M. F., Pirre, M., Marecal, V., Grell, G., Stockler, R., Mello, R. F., and Sánchez Gácita, M.: PREP-CHEM-SRC – 1.0: a preprocessor of trace gas and aerosol emission fields for regional and global atmospheric chemistry models, Geosci. Model Dev., 4, 419–433, https://doi.org/10.5194/gmd-4-419-2011, 2011. a
Gašparac, G., Jeričević, A., and Grisogono, B.: Influence of
WRF parameterization on coupled air quality modeling systems,
Springer Proceedings in Complexity, 24, 557–561,
https://doi.org/10.1007/978-3-319-24478-5_90, 2016. a, b, c, d
Gauss, M., Tsyro, S., Fagerli, H., Benedictow, A. C., Hjellbrekke, A., and Aas,
W.: Acidifying and eutrophying components, Tech. rep., The Norwegian
Meteorological Institute, Oslo, Norway, supplementary material to EMEP Status
Report 1/2016, available at: https://www.emep.int/ (last access: 12 May 2020), 2016. a, b, c
Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G., Skamarock,
W. C., and Eder, B.: Fully coupled “online” chemistry within the WRF
model, Atmos. Environ., 39, 6957–6975,
https://doi.org/10.1016/J.ATMOSENV.2005.04.027, 2005. a, b
Grgurić, S., Križan, J., Gašparac, G., Antonić, O.,
Špirić, Z., Mamouri, R. E., Christodoulou, A., Nisantzi, A.,
Agapiou, A., Themistocleous, K., Fedra, K., Panayiotou, C., and Hadjimitsis,
D.: Relationship between MODIS based Aerosol Optical Depth and PM10 over
Croatia, Cent. Eur. J. Geosci., 6, 2–16,
https://doi.org/10.2478/s13533-012-0135-6, 2013. a, b
Grisogono, B. and Belušić, D.: Improving mixing length-scale for
stable boundary layers, Q. J. Roy. Meteorol.
Soc., 134, 2185–2192, https://doi.org/10.1002/qj.347, 2008. a
Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181–3210, https://doi.org/10.5194/acp-6-3181-2006, 2006. a
Harrison, R. M. and Jones, A. M.: Multisite Study of Particle Number
Concentrations in Urban Air, Environ. Sci. Technol., 39,
6063–6070, https://doi.org/10.1021/ES040541E, 2005. a
Hauck, H., Berner, A., Gomiscek, B., Stopper, S., Puxbaum, H., Kundi, M., and
Preining, O.: On the equivalence of gravimetric PM data with TEOM and
beta-attenuation measurements, J. Aerosol Sci., 35, 1135–1149,
https://doi.org/10.1016/J.JAEROSCI.2004.04.004, 2004. a
Heal, M. R., Kumar, P., and Harrison, R. M.: Particles, air quality, policy
and health, Chem. Soc. Rev., 41, 6606, https://doi.org/10.1039/c2cs35076a,
2012. a
Heiman, G.: Understanding Research Methods and Statistics: An Integrated
Introduction for Psychology, v. 1, Houghton Mifflin,
available at: https://books.google.hr/books?id=r2UNAAAACAAJ (last access: 12 May 2020), 2001. a
Im, U., Bianconi, R., Solazzo, E., Kioutsioukis, I., Badia, A., Balzarini, A.,
Baró, R., Bellasio, R., Brunner, D., Chemel, C., Curci, G., Flemming,
J., Forkel, R., Giordano, L., Jiménez-Guerrero, P., Hirtl, M., Hodzic,
A., Honzak, L., Jorba, O., Knote, C., Kuenen, J. J., Makar, P. A.,
Manders-Groot, A., Neal, L., Pérez, J. L., Pirovano, G., Pouliot, G.,
San Jose, R., Savage, N., Schroder, W., Sokhi, R. S., Syrakov, D., Torian,
A., Tuccella, P., Werhahn, J., Wolke, R., Yahya, K., Zabkar, R., Zhang, Y.,
Zhang, J., Hogrefe, C., and Galmarini, S.: Evaluation of operational
on-line-coupled regional air quality models over Europe and North America in
the context of AQMEII phase 2. Part I: Ozone, Atmos. Environ., 115,
404–420, https://doi.org/10.1016/j.atmosenv.2014.09.042, 2015. a
Jeričević, A. and Večenaj, Ž.: Improvement of vertical
diffusion analytic schemes under stable atmospheric conditions,
Bound.-Lay. Meteorol., 131, 293–307, https://doi.org/10.1007/s10546-009-9367-5,
2009. a
Jeričević, A., Kraljević, L., Grisogono, B., Fagerli, H., and Večenaj, Ž.: Parameterization of vertical diffusion and the atmospheric boundary layer height determination in the EMEP model, Atmos. Chem. Phys., 10, 341–364, https://doi.org/10.5194/acp-10-341-2010, 2010. a, b, c
Jeričević, A., Ilyin, I., and Vidič, S.: Modelling of heavy
metals: study of impacts due to climate change, Springer, Dordrecht, Netherlands, 10, 175–189,
https://doi.org/10.1007/978-94-007-2430-3_15, 2012. a, b
Jiang, H., Liao, H., Pye, H. O. T., Wu, S., Mickley, L. J., Seinfeld, J. H., and Zhang, X. Y.: Projected effect of 2000–2050 changes in climate and emissions on aerosol levels in China and associated transboundary transport, Atmos. Chem. Phys., 13, 7937–7960, https://doi.org/10.5194/acp-13-7937-2013, 2013. a
Juda-Rezler, K., Reizer, M., and Oudinet, J.-P.: Determination and analysis of
PM10 source apportionment during episodes of air pollution in Central Eastern
European urban areas: The case of wintertime 2006, Atmos. Environ.,
45, 6557–6566, https://doi.org/10.1016/J.ATMOSENV.2011.08.020, 2011. a
Karppinen, A., Härkönen, J., Kukkonen, J., Aarnio, P., and Koskentalo, T.: Statistical model for assessing the portion of fine particulate matter transported regionally and long range to urban air,
Scandinavian Journal of Work, Environment & Health, 30, 47–53, available at: https://www.sjweh.fi/show_abstract.php?abstract_id=814 (last access: 18 May 2020), 2004. a
Kumar, P. and Goel, A.: Concentration dynamics of coarse and fine particulate
matter at and around signalised traffic intersections, Environ.
Sci.-Proc. Imp., 18, 1220–1235, https://doi.org/10.1039/C6EM00215C,
2016. a
Kumar, P., Khare, M., Harrison, R. M., Bloss, W. J., Lewis, A. C., Coe, H., and
Morawska, L.: New Directions: Air pollution challenges for developing
megacities like Delhi, Atmos. Environ., 122, 657–661,
https://doi.org/10.1016/j.atmosenv.2015.10.032, 2015. a
Kumar, P., de Fatima Andrade, M., Ynoue, R. Y., Fornaro, A., de Freitas,
E. D., Martins, J., Martins, L. D., Albuquerque, T., Zhang, Y., and Morawska,
L.: New directions: From biofuels to wood stoves: The modern and ancient air
quality challenges in the megacity of São Paulo, Atmos.
Environ., 140, 364–369, https://doi.org/10.1016/j.atmosenv.2016.05.059, 2016. a
Lacey, R. E. and Faulkner, W. B.: Uncertainty associated with the gravimetric
measurement of particulate matter concentration in ambient air, J.
Air Waste Manage., 65, 887–894,
https://doi.org/10.1080/10962247.2015.1038397, 2015. a
Laurent, O., Hu, J., Li, L., Kleeman, M. J., Bartell, S. M., Cockburn, M.,
Escobedo, L., and Wu, J.: A Statewide Nested Case-Control Study of Preterm
Birth and Air Pollution by Source and Composition: California, 2001–2008,
Environ. Health Persp., 124, 1479–1486, https://doi.org/10.1289/ehp.1510133,
2016. a
Luhana, L., Sokhi, R., Lynne, W., Mao, H., Boulter, P., McCrae, I., Wright, J.,
and Osborn, D.: Measurement of non-exhaust particulate matter., Tech. rep.,
European Commision 5th Framework Programme, 2004. a
Meteorological Synthesizing Centre – West (MSC-W): EMEP, available at: https://www.emep.int/mscw/mscw_models.html, last access: 12 May 2020. a
Miranda, A., Silveira, C., Ferreira, J., Monteiro, A., Lopes, D., Relvas, H.,
Borrego, C., and Roebeling, P.: Current air quality plans in Europe designed
to support air quality management policies, Atmos. Pollut. Res.,
6, 434–443, https://doi.org/10.5094/APR.2015.048, 2015. a
NOAA/ESRL/GDA: WRF-Chem, available at: https://ruc.noaa.gov/wrf/wrf-chem/, last access: 12 May 2020. a
Noble, C. A., Vanderpool, R. W., Peters, T. M., Mcelroy, F. F., Gemmill &
Russell, D. B., and Wiener, W. W.: Federal Reference and Equivalent Methods
for Measuring Fine Particulate Matter, Aerosol Sci. Tech., 34,
457–464, https://doi.org/10.1080/02786820121582, 2001. a
Pakkanen, T. A., Loukkola, K., Korhonen, C. H., Aurela, M., Mäkelä,
T., Hillamo, R. E., Aarnio, P., Koskentalo, T., Kousa, A., and Maenhaut, W.:
Sources and chemical composition of atmospheric fine and coarse particles in
the Helsinki area, Atmos. Environ., 35, 5381–5391,
https://doi.org/10.1016/S1352-2310(01)00307-7, 2001. a
Pang, Y., Eatough, N. L., and Eatough, D. J.: PM2.5 Semivolatile Organic
Material at Riverside, California: Implications for the PM2.5 Federal
Reference Method Sampler, Aerosol Sci. Tech., 36, 277–288,
https://doi.org/10.1080/027868202753504443, 2002. a
Patashnick, H. and Rupprecht, G.: New real-time monitoring instrument for
suspended particulate mass concentration – TEOM, J. Am.
Chem. Soc., 25, 188–193, 1980. a
Peters, A., Dockery, D. W., Muller, J. E., and Mittleman, M. A.: Increased
Particulate Air Pollution and the Triggering of Myocardial Infarction,
Circulation, 103, 2810–2815, https://doi.org/10.1161/01.CIR.103.23.2810, 2001. a
Pope, III. C., A., Burnett, R. T., Thun, M. J., Calle, E. E., Krewski, D., Ito,
K., and Thurston, G. D.: Lung Cancer, Cardiopulmonary Mortality, and
Long-term Exposure to Fine Particulate Air Pollution, J.
Amer. Med. Assoc., 287, 1132, https://doi.org/10.1001/jama.287.9.1132, 2002. a
Prank, M., Sofiev, M., Tsyro, S., Hendriks, C., Semeena, V., Vazhappilly Francis, X., Butler, T., Denier van der Gon, H., Friedrich, R., Hendricks, J., Kong, X., Lawrence, M., Righi, M., Samaras, Z., Sausen, R., Kukkonen, J., and Sokhi, R.: Evaluation of the performance of four chemical transport models in predicting the aerosol chemical composition in Europe in 2005, Atmos. Chem. Phys., 16, 6041–6070, https://doi.org/10.5194/acp-16-6041-2016, 2016. a, b, c, d
Putaud, J.-P., Raes, F., Van Dingenen, R., Brüggemann, E., Facchini,
M.-C., Decesari, S., Fuzzi, S., Gehrig, R., Hüglin, C., Laj, P.,
Lorbeer, G., Maenhaut, W., Mihalopoulos, N., Müller, K., Querol, X.,
Rodriguez, S., Schneider, J., Spindler, G., ten Brink, H., Tørseth, K.,
and Wiedensohler, A.: A European aerosol phenomenology – 2: chemical
characteristics of particulate matter at kerbside, urban, rural and
background sites in Europe, Atmos. Environ., 38, 2579–2595,
https://doi.org/10.1016/J.ATMOSENV.2004.01.041, 2004. a, b, c, d
Putaud, J. P., Van Dingenen, R., Alastuey, A., Bauer, H., Birmili, W., Cyrys,
J., Flentje, H., Fuzzi, S., Gehrig, R., Hansson, H. C., Harrison, R. M.,
Herrmann, H., Hitzenberger, R., Hüglin, C., Jones, A. M., Kasper-Giebl,
A., Kiss, G., Kousa, A., Kuhlbusch, T. A. J., Löschau, G., Maenhaut,
W., Molnar, A., Moreno, T., Pekkanen, J., Perrino, C., Pitz, M., Puxbaum, H.,
Querol, X., Rodriguez, S., Salma, I., Schwarz, J., Smolik, J., Schneider, J.,
Spindler, G., ten Brink, H., Tursic, J., Viana, M., Wiedensohler, A., and
Raes, F.: A European aerosol phenomenology – 3: Physical and chemical
characteristics of particulate matter from 60 rural, urban, and kerbside
sites across Europe, Atmos. Environ., 44, 1308–1320,
https://doi.org/10.1016/j.atmosenv.2009.12.011, 2010. a, b
Qu, y., An, J., Li, J., Chen, Y., Li, Y., Liu, X., and Hu, M.: Effects of NO x
and VOCs from five emission sources on summer surface O3 over the
Beijing-Tianjin-Hebei region, Adv. Atmos. Sci., 31,
https://doi.org/10.1007/s00376-013-3132-x, 2014. a, b
Querol, X., Alastuey, A., Viana, M., Rodriguez, S., Artiñano, B.,
Salvador, P., Garcia do Santos, S., Fernandez Patier, R., Ruiz, C., de la
Rosa, J., Sanchez de la Campa, A., Menendez, M., and Gil, J.: Speciation
and origin of PM10 and PM2.5 in Spain, J. Aerosol Sci., 35,
1151–1172, https://doi.org/10.1016/J.JAEROSCI.2004.04.002, 2004. a
Rao, S. T., Galmarini, S., Puckett, K., Rao, S. T., Galmarini, S., and Puckett,
K.: Air Quality Model Evaluation International Initiative (AQMEII):
Advancing the State of the Science in Regional Photochemical Modeling and Its
Applications, B. Am. Meteorol. Soc., 92, 23–30,
https://doi.org/10.1175/2010BAMS3069.1, 2011. a
Ritter, M.: Air pollution modeling over very complex terrain: An evaluation
of WRF-Chem over Switzerland for two 1-year periods, Atmos. Res.,
132–133, 209–222, https://doi.org/10.1016/j.atmosres.2013.05.021, 2013. a
Saarikoski, S., Frey, A., Mäkelä, T., and Hillamo, R.: Size
distribution measurement of carbonaceous particulate matter using a low
pressure impactor with quartz fiber substrates, Aerosol Sci.
Tech., 42, 603–612, https://doi.org/10.1080/02786820802227329, 2008. a
Saide, P. E., Carmichael, G. R., Spak, S. N., Gallardo, L., Osses, A. E.,
Mena-Carrasco, M. A., and Pagowski, M.: Forecasting urban PM10 and PM2.5
pollution episodes in very stable nocturnal conditions and complex terrain
using WRF-Chem CO tracer model, Atmos. Environ., 45, 2769–2780,
https://doi.org/10.1016/j.atmosenv.2011.02.001, 2011. a
Samet, J. M., Dominici, F., Curriero, F. C., Coursac, I., and Zeger, S. L.:
Fine Particulate Air Pollution and Mortality in 20 U.S. Cities,
1987–1994, New Engl. J. Med., 343, 1742–1749,
https://doi.org/10.1056/NEJM200012143432401, 2000. a
Samoli, E., Analitis, A., Touloumi, G., Schwartz, J., Anderson, H. R., Sunyer,
J., Bisanti, L., Zmirou, D., Vonk, J. M., Pekkanen, J., Goodman, P., Paldy,
A., Schindler, C., and Katsouyanni, K.: Estimating the Exposure–Response
Relationships between Particulate Matter and Mortality within the APHEA
Multicity Project, Environ. Health Persp., 113, 88–95,
https://doi.org/10.1289/ehp.7387, 2005. a
Schaap, M., Timmermans, R. M., Roemer, M., Boersen, G., Builtjes, P. J.,
Sauter, F. J., Velders, G. J., and Beck, J. P.: The LOTOS EUROS model:
description, validation and latest developments, Int. J.
Environ. Pollut., 32, 270–290, https://doi.org/10.1504/IJEP.2008.017106, 2008. a
Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., Jenkin, M. E., Nyíri, A., Richter, C., Semeena, V. S., Tsyro, S., Tuovinen, J.-P., Valdebenito, Á., and Wind, P.: The EMEP MSC-W chemical transport model – technical description, Atmos. Chem. Phys., 12, 7825–7865, https://doi.org/10.5194/acp-12-7825-2012, 2012. a, b, c, d
Skamarock, W., Klemp, J., Dudhia, J., Gill, D., Barker, D., Wang, W., and
Powers, J.: A description of the Advanced Research WRF Version 3, Tech. rep.,
National Center for Atmospheric Research, https://doi.org/10.5065/D68S4MVH, 2008. a
Skjøth, C., Werner, M., Adams-Groom, B., Alison, W., Lewis, M., and Kennedy,
R.: Quality of the Governing Temperature Variables in WRF in relation to
Simulation of Primary Biological Aerosols, Adv. Meteorol., 2015, 412658,
https://doi.org/10.1155/2015/412658, 2015. a
Sofiev, M., Galperin, M., and Genikhovich, E.: A Construction and Evaluation
of Eulerian Dynamic Core for the Air Quality and Emergency Modelling System
SILAM, in: Air Pollution Modeling and Its Application XIX,
Springer Netherlands, Dordrecht, 699–701, https://doi.org/10.1007/978-1-4020-8453-9_94, 2008. a
Solazzo, E., Bianconi, R., Pirovano, G., Matthias, V., Vautard, R., Moran,
M. D., Appel, K. W., Bessagnet, B., Brandt, J., Christensen, J. H., Chemel,
C., Coll, I., Ferreira, J., Forkel, R., Francis, X. V., Grell, G., Grossi,
P., Hansen, A. B., Miranda, A. I., Nopmongcol, U., Prank, M., Sartelet,
K. N., Schaap, M., Silver, J. D., Sokhi, R. S., Vira, J., Werhahn, J., Wolke,
R., Yarwood, G., Zhang, J., Rao, S. T., and Galmarini, S.: Operational model
evaluation for particulate matter in Europe and North America in the context
of AQMEII, Atmos. Environ., 53, 75–92,
https://doi.org/10.1016/j.atmosenv.2012.02.045, 2012. a, b, c, d
Spinoni, J., Naumann, G., Vogt, J., and Barbosa, P.: European drought
climatologies and trends based on a multi-indicator approach, Global
Planet. Change, 127, 50–57, https://doi.org/10.1016/J.GLOPLACHA.2015.01.012, 2015. a
Stahl, K., Kohn, I., Blauhut, V., Urquijo, J., De Stefano, L., Acácio, V., Dias, S., Stagge, J. H., Tallaksen, L. M., Kampragou, E., Van Loon, A. F., Barker, L. J., Melsen, L. A., Bifulco, C., Musolino, D., de Carli, A., Massarutto, A., Assimacopoulos, D., and Van Lanen, H. A. J.: Impacts of European drought events: insights from an international database of text-based reports, Nat. Hazards Earth Syst. Sci., 16, 801–819, https://doi.org/10.5194/nhess-16-801-2016, 2016. a
Syrakov, D., Prodanova, M., Georgieva, E., Etropolska, I., and Slavov, K.:
Simulation of European air quality by WRF–CMAQ models using AQMEII-2
infrastructure, J. Comput. Appl. Math., 293, 232–245,
https://doi.org/10.1016/j.cam.2015.01.032, 2015. a
Tuccella, P., Curci, G., Visconti, G., Bessagnet, B., Menut, L., and Park,
R. J.: Modeling of gas and aerosol with WRF/Chem over Europe: Evaluation and
sensitivity study, J. Geophys. Res., 117, 3303,
https://doi.org/10.1029/2011JD016302,
2012. a
University of Wyoming: Sounding data, available at: http://www.weather.uwyo.edu/upperair/sounding.html, last access: 12 May 2020. a
Valor, G. B. and López, D. J. M. G.: Ogimet, available at: https://www.ogimet.com (last access: 12 May 2020), 2005. a
Van Dingenen, R., Raes, F., Putaud, J.-P., Baltensperger, U., Charron, A.,
Facchini, M.-C., Decesari, S., Fuzzi, S., Gehrig, R., Hansson, H.-C.,
Harrison, R. M., Hüglin, C., Jones, A. M., Laj, P., Lorbeer, G.,
Maenhaut, W., Palmgren, F., Querol, X., Rodriguez, S., Schneider, J., ten
Brink, H., Tunved, P., Tørseth, K., Wehner, B., Weingartner, E.,
Wiedensohler, A., and Wåhlin, P.: A European aerosol phenomenology – 1:
physical characteristics of particulate matter at kerbside, urban, rural and
background sites in Europe, Atmos. Environ., 38, 2561–2577,
https://doi.org/10.1016/J.ATMOSENV.2004.01.040, 2004. a
Vautard, R., Builtjes, P., Thunis, P., Cuvelier, C., Bedogni, M., Bessagnet,
B., Honoré, C., Moussiopoulos, N., Pirovano, G., Schaap, M., Stern, R.,
Tarrason, L., and Wind, P.: Evaluation and intercomparison of Ozone and PM10
simulations by several chemistry transport models over four European cities
within the CityDelta project, Atmos. Environ., 41, 173–188,
https://doi.org/10.1016/J.ATMOSENV.2006.07.039, 2007. a
Werner, M., Kryza, M., Geels, C., Ellermann, T., and Ambelas Skjøth, C.: Spatial, temporal and vertical distribution of ammonia concentrations over Europe – comparing a static and dynamic approach with WRF-Chem, Atmos. Chem. Phys. Discuss., 15, 22935–22973, https://doi.org/10.5194/acpd-15-22935-2015, 2015. a
WHO: Health risks of particulate matter from long-range transboundary air
pollution, Pollution Atmospherique, p. 169, ISBN 978 92 890 42895,
2006. a
Willeke, K. and Baron, P. A.: Aerosol measurement: principles, techniques, and
applications, Van Nostrand Reinhold, https://doi.org/10.1017/CBO9781316117422, 1993. a
Willmott, C. J.: On the evaluation of model performance in physical geography, in: Spatial Statistics and Models, edited by: Gaile, G. L. and Willmott, C. J., Springer, Dordrecht, 443–460, https://doi.org/10.1007/978-94-017-3048-8_23, 1984. a
Winiwarter, W. and Simpson, D.: On the boundary between man-made and natural
emissions: Problems in defining European ecosystems, J. Geophys.
Res., 104, 8153–8159, https://doi.org/10.1029/1998JD100107, 1999. a
Short summary
Two different available air quality modelling systems were used to investigate physical and chemical processes that contributed to increased daily background PM10 in all of Europe (focusing on eastern and central Europe). Differentiation of modelling performance in respect to the terrain height was found. A strong influence of meteorological conditions on increased background PM10 and statically stable atmospheric conditions were recognized as a key factor in the build-up of background PM10.
Two different available air quality modelling systems were used to investigate physical and...
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