Article
Environmental Sciences
Mijin Kim, Seung Hee Kim, Woogyung Vincent Kim, Yun Gon Lee, Jhoon Kim, Menas C. Kafatos
Summary: The study investigates the spatiotemporal variations of aerosol optical depth (AOD) under different conditions using AERONET and VIIRS observations. The results show seasonal variations and long-term trends differences in AOD among different regions.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Chaeyoon Cho, Sang-Woo Kim, Woosuk Choi, Man-Hae Kim
Summary: This study investigated the contribution of brown carbon (BrC) to the absorption aerosol optical depth (AAOD) in California during the August to October 2020 wildfires, finding a significant daily variation in BrC contribution correlated with fire pixel counts. The average BrC contribution to AAOD due to wildfires in Fresno, Monterey, and UCSB was approximately twice as high as sites without direct wildfire influence. Additionally, the BrC contribution from wildfires was approximately 20% greater than other BrC sources from various activities.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Md Arfan Ali, Muhammad Bilal, Yu Wang, Zhongfeng Qiu, Janet E. Nichol, Gerrit de Leeuw, Song Ke, Alaa Mhawish, Mansour Almazroui, Usman Mazhar, Birhanu Asmerom Habtemicheal, M. Nazrul Islam
Summary: Rapid industrialization, urbanization, and population growth in China have contributed significantly to air pollution. Evaluating long-term aerosol optical depth (AOD) data can enhance our understanding of spatiotemporal variations in air pollution. This study compared AOD values from different sources and found better correlations between MERRA-2 reanalysis AOD and MODIS DTB AOD than between CMIP6 AOD and MODIS DTB AOD in most regions of China. The study also observed increasing trends in AOD from 2000 to 2014, with air pollution control policies during the 12th Five Year Plan showing a greater reduction in AOD compared to the 11th Five Year Plan.
GEOSCIENCE FRONTIERS
(2022)
Article
Environmental Sciences
Laaziz El Amraoui, Matthieu Plu, Vincent Guidard, Flavien Cornut, Mickael Bacles
Summary: In this study, a pre-operational forecasting assimilation system of different types of aerosols is presented. The system utilizes MODIS data to predict and anticipate extreme events and their impacts on air quality and aviation safety. The system's outputs are validated using AERONET observations, and its ability to predict extreme events such as desert dust transport and biomass burning is tested and evaluated.
Article
Environmental Sciences
Mikalai Filonchyk, Michael Peterson
Summary: An intense dust storm in March 2021 originating from the Gobi Desert in Mongolia had a significant impact on northern, central, and eastern China, affecting air quality and visibility, and posing a threat to millions of lives.
Article
Veterinary Sciences
Xiaowen Li, Zhiqiang Hu, Mingyu Fan, Xiaogang Tian, Weisheng Wu, Wenchao Gao, Lujie Bian, Xiaoxue Jiang
Summary: African swine fever (ASF) is a highly contagious and economically devastating disease in China's pig industry. This study provides the first evidence of aerosol transmission of ASFV under field conditions, highlighting the importance of studying aerosol transmission and developing strategies for creating low-risk environments for pig herds.
FRONTIERS IN VETERINARY SCIENCE
(2023)
Article
Environmental Sciences
Tianning Zhang, Weihuan He, Hui Zheng, Yaoping Cui, Hongquan Song, Shenglei Fu
Summary: The study proposed a model using satellite data to estimate PM2.5 concentrations in China in 2017, showing good performance in temporal and spatial variability. The GBDT model excelled in estimating PM2.5 concentrations, especially in summer.
Article
Environmental Sciences
Weihuan He, Huan Meng, Jie Han, Gaohui Zhou, Hui Zheng, Songlin Zhang
Summary: This study used the MAIAC aerosol products and GBDT algorithm to retrieve PM2.5 concentration across China from 2015 to 2020 at a resolution of 1 km, achieving excellent performance. Overall, PM2.5 pollution in China showed a downward trend during the study period, with the greatest decrease observed in the Beijing-Tianjin-Hebei region. The results indicate significant improvement in the atmospheric environment, with an increase in areas meeting the national air quality standard.
Article
Environmental Sciences
Qian Cui, Feng Zhang, Shaoyun Fu, Xiaoli Wei, Yue Ma, Kun Wu
Summary: This study utilized high spatial-temporal resolution AOD data to estimate ground PM2.5 concentration through DBN algorithm, achieving better results than the original DBN. The final high-quality data can be applied for urban air quality monitoring and related PM2.5 exposure risk assessment, such as wildfires.
Article
Meteorology & Atmospheric Sciences
Stefan Becker, Ramesh Prasad Sapkota, Binod Pokharel, Loknath Adhikari, Rudra Prasad Pokhrel, Sujan Khanal, Basant Giri
Summary: Kathmandu has high levels of particulate matter pollution and the analysis of data reveals distinct annual patterns with winter peaks and summer lows. Despite variations throughout the day and year, public health guidelines are frequently exceeded, particularly during winter. Remote sensing data provides a valuable alternative approach to studying pollution levels and understanding their variability in the Kathmandu valley.
ATMOSPHERIC RESEARCH
(2021)
Article
Environmental Sciences
Nadine Grace Caido, Prane Mariel Ong, Ofelia Rempillo, Maria Cecilia Galvez, Edgar Vallar
Summary: Satellite remote sensing is a useful tool for assessing air quality, providing valuable information on the trends and impacts of human activities. This study focused on the spatiotemporal variations of aerosol optical depth (AOD) in Koronadal City and Quezon City using data collected from the MODIS Terra satellite from 2010 to 2020. The study found a strong correlation between MODIS AOD values and AERONET AOD values, with a low root mean square error. The results showed an annual variation in AOD, with a peak in 2015 due to biomass burning in Indonesia and a decrease in 2020 due to the COVID-19 lockdown. The findings highlight the importance of monitoring and mitigating poor air quality in the Philippines, and provide valuable insights for environmental management and health assessment studies.
Article
Geosciences, Multidisciplinary
Jatisankar Bandyopadhyay, Lal Mohammad, Ismail Mondal, Kunal Kanti Maiti, Nadhir Al-Ansari, Quoc Bao Pham, Khaled Mohamed Khedher, Duong Tran Anh
Summary: The study utilized remote sensing and GIS methods to measure the Aerosol Optical Depth in Jharkhand from 2011 to 2017, identifying higher aerosol loadings in the eastern and northern borders compared to the southern and western parts. Aerosol sources were categorized into primary, secondary, tertiary, and quaternary categories using the Analytic Hierarchical Process (AHP), with primary sources covering only 1.29% of the study area and being mainly associated with industrial zones, mining regions, thermal power plants, and cement industries.
GEOMATICS NATURAL HAZARDS & RISK
(2021)
Article
Environmental Sciences
Ling Liu, Shuning Li, Haotian Zu, Xiuhui Zhang
Summary: Using density functional theory combined with the Atmospheric Cluster Dynamics Code, the study investigated the stabilizing effect and specific mechanism of HIO2 on HIO3 nucleation under different atmospheric conditions. It was found that HIO2 can form clusters with HIO3 through strong hydrogen bonds, halogen bonds, and proton-transfer, significantly enhancing the stability of HIO3 clusters and reducing the energy barrier. The particle formation rate and cluster concentrations of HIO3-HIO2 nucleation were influenced by temperature and HIO2 concentration.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Thermodynamics
Jun Rong Lee, Ee Von Lau
Summary: Limited studies are currently available on the behavior of ionic wind under different air pressure conditions, resulting in opposing trends of discharge current and velocity at pressures above and below atmospheric pressure. Positive and negative ionic winds generally exhibit lower power consumption and more stable velocity at pressures below atmospheric pressure, but experience lower velocity and higher power consumption at pressures above atmospheric pressure.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2021)
Article
Green & Sustainable Science & Technology
Vasileios Salamalikis, Ioannis Vamvakas, Philippe Blanc, Andreas Kazantzidis
Summary: This study investigates the impact of aerosols on cloud-free DNI, revealing an overestimation of AOD in areas affected by volcanic eruptions, and underestimation and higher dispersion metrics in regions dominated by coarse aerosols such as mineral dust and biomass burning.
Article
Meteorology & Atmospheric Sciences
Kirsten N. Fossum, Jurgita Ovadnevaite, Dantong Liu, Michael Flynn, Colin O'Dowd, Darius Ceburnis
Summary: This study investigates the levels of air pollution in the Northeast Atlantic and Southern Ocean, finding that the air quality in the Southern Hemisphere is generally cleaner than in the Northern Hemisphere. The study uses BC as a tracer and identifies thresholds for distinguishing between natural and anthropogenic OM in the ocean.
ATMOSPHERIC RESEARCH
(2022)
Article
Environmental Sciences
Gang Chen, Francesco Canonaco, Anna Tobler, Wenche Aas, Andres Alastuey, James Allan, Samira Atabakhsh, Minna Aurela, Urs Baltensperger, Aikaterini Bougiatioti, Joel F. De Brito, Darius Ceburnis, Benjamin Chazeau, Hasna Chebaicheb, Kaspar R. Daellenbach, Mikael Ehn, Imad El Haddad, Konstantinos Eleftheriadis, Olivier Favez, Harald Flentje, Anna Font, Kirsten Fossum, Evelyn Freney, Maria Gini, David C. Green, Liine Heikkinen, Hartmut Herrmann, Athina-Cerise Kalogridis, Hannes Keernik, Radek Lhotka, Chunshui Lin, Chris Lunder, Marek Maasikmets, Manousos Manousakas, Nicolas Marchand, Cristina Marin, Luminita Marmureanu, Nikolaos Mihalopoulos, Grisa Mocnik, Jaroslaw Necki, Colin O'Dowd, Jurgita Ovadnevaite, Thomas Peter, Jean-Eudes Petit, Michael Pikridas, Stephen Matthew Platt, Petra Pokorna, Laurent Poulain, Max Priestman, Veronique Riffault, Matteo Rinaldi, Kazimierz Rozanski, Jaroslav Schwarz, Jean Sciare, Leila Simon, Alicja Skiba, Jay G. Slowik, Yulia Sosedova, Iasonas Stavroulas, Katarzyna Styszko, Erik Teinemaa, Hilkka Timonen, Anja Tremper, Jeni Vasilescu, Marta Via, Petr Vodicka, Alfred Wiedensohler, Olga Zografou, Maria Cruz Minguillon, Andre S. H. Prevot
Summary: The sources of organic aerosols in Europe are crucial for improving air quality, health impact, and climate models. This study developed a comprehensive protocol using advanced source apportionment strategies to analyze long-term OA mass spectrum data, resulting in robust and consistent source apportionment results.
ENVIRONMENT INTERNATIONAL
(2022)
Article
Geosciences, Multidisciplinary
Wei Xu, Jurgita Ovadnevaite, Kirsten N. Fossum, Chunshui Lin, Ru-Jin Huang, Darius Ceburnis, Colin O'Dowd
Summary: Sea spray aerosols (SSAs) have a significant impact on cloud formation and atmospheric radiative balance. Quantification of the contribution of SSAs to cloud condensation nuclei (CCN) is crucial for understanding the radiative budget. This study utilizes a unique dataset to show that previous estimates of SSA-derived CCN may have been underestimated.
Article
Meteorology & Atmospheric Sciences
Karam Mansour, Matteo Rinaldi, Jana Preissler, Stefano Decesari, Jurgita Ovadnevaite, Darius Ceburnis, Marco Paglione, Maria C. Facchini, Colin O'Dowd
Summary: This study demonstrates the impact of oceanic biota on the microphysical properties of stratiform clouds over the Northeast Atlantic Ocean using cloud remote sensing observations at Mace Head. The increase in cloud droplet number concentration and decrease in their radius due to enhanced oceanic biological activity leads to brighter clouds.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Environmental Sciences
Chunshui Lin, Darius Ceburnis, Colin O'Dowd, Jurgita Ovadnevaite
Summary: This study found that residential heating and long-range transport alternately influence the aerosol concentrations in the coastal city, requiring different mitigation strategies in different seasons.
Article
Multidisciplinary Sciences
Ru-Jin Huang, Thorsten Hoffmann, Jurgita Ovadnevaite, Ari Laaksonen, Harri Kokkola, Wen Xu, Wei Xu, Darius Ceburnis, Renyi Zhang, John H. Seinfeld, Colin O'Dowd
Summary: The gas-phase formation of new particles and their subsequent growth is significantly influenced by nucleated iodine oxide clusters, which provide unique sites for the accelerated growth of organic vapors. This heterogenous mechanism explains particle production events at lower organic vapor concentrations than previously thought.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Meteorology & Atmospheric Sciences
Fiona M. O'Connor, Ben T. Johnson, Omar Jamil, Timothy Andrews, Jane P. Mulcahy, James Manners
Summary: The increase in methane concentration leads to an effective radiative forcing, with direct methane contribution, indirect ozone and water vapor effects, and cloud radiative effect. There are improvements in the UKESM1 model in representing methane forcing compared to its predecessor model, highlighting the importance of chemistry-aerosol-cloud interactions in climate forcing.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Environmental Sciences
Bojan Cvetkovic, Pavla Dagsson-Waldhauserova, Slavko Petkovic, Olafur Arnalds, Fabio Madonna, Emmanouil Proestakis, Antonis Gkikas, Ana Vukovic Vimic, Goran Pejanovic, Marco Rosoldi, Darius Ceburnis, Vassilis Amiridis, Lenka Lisa, Slobodan Nickovic, Jugoslav Nikolic
Summary: Icelandic topsoil sediments are the largest and most important source of mineral dust in Europe. This study designed a dynamic coupled atmosphere-dust numerical modeling system to simulate and predict the Icelandic mineral dust process and assess its impacts on air quality, human health, transportation, climate, and marine ecosystems. The model demonstrated its capability to forecast major transport features and can be used as an operational forecasting system or a tool for assessing Icelandic dust impacts.
Article
Geosciences, Multidisciplinary
Man Mei Chim, Thomas J. Aubry, Nathan Luke Abraham, Lauren Marshall, Jane Mulcahy, Jeremy Walton, Anja Schmidt
Summary: Using ice-core and satellite records, we have designed stochastic eruption scenarios and found that there is a 95% probability that explosive eruptions could release more sulfur dioxide (SO2) into the stratosphere over 2015-2100 than current standard climate projections. Our simulations show that the average global-mean stratospheric aerosol optical depth (SAOD) from 2015-2100 is double that used in ScenarioMIP, with small-magnitude eruptions (<3 Tg of SO2) contributing 50% to SAOD perturbations. It is concluded that the underestimation of volcanic effects in ScenarioMIP is due to the lack of accounting for the recurrent frequency of volcanic eruptions of different magnitudes in current climate projections.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Meteorology & Atmospheric Sciences
Chunshui Lin, Darius Ceburnis, Aditya Vaishya, Anna Trubetskaya, Yue Tan, Tao Wang, William Smith, Robert Johnson, Wei Xu, Rory F. D. Monaghan, Colin O'Dowd, Jurgita Ovadnevaite
Summary: Renewable biomass is important for climate-friendly heating, but it has negative effects on local air quality due to the increase in residential heating appliances. A study found that solid-fuel residential heating haze contains firelighter smoke, which contributes additional black carbon. This combination results in high levels of submicron particulate matter and strong radiative forcing. A co-benefit policy is needed to address this issue.
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2023)
Article
Environmental Sciences
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, Ken S. Carslaw
Summary: Uncertainty in aerosol radiative forcing affects climate sensitivity estimates and model skill in climate projections. Efforts to improve physical process representation in climate models have not constrained possible aerosol forcing values. A better constraint can be achieved using global mean energy balance arguments based on observed temperature changes.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Ecology
George Manville, Thomas G. Bell, Jane P. Mulcahy, Rafel Simo, Marti Gali, Anoop S. Mahajan, Shrivardhan Hulswar, Paul R. Halloran
Summary: Dimethylsulfide (DMS) emitted from the ocean plays a significant role in our planet's climate. This study investigates the variability of DMS concentrations at local scales and identifies the mechanisms driving this variability. The results show that both physical and biogeochemical processes contribute to DMS variability, with mesoscale eddies playing an important role. The study also highlights the regional differences in DMS variability and suggests that submesoscale features should be considered in DMS models and parameterizations.
Article
Environmental Sciences
Edward Gryspeerdt, Adam C. Povey, Roy G. Grainger, Otto Hasekamp, N. Christina Hsu, Jane P. Mulcahy, Andrew M. Sayer, Armin Sorooshian
Summary: Atmospheric aerosols have a significant impact on cloud properties, but their effect remains uncertain. Aerosols affect cloud reflectivity by reducing droplet size, and this interaction is influenced by the diversity of cloud droplet responses to aerosols. The behavior of clouds under clean conditions is important in understanding the variability in estimates of aerosol forcing.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Geosciences, Multidisciplinary
Jane P. Mulcahy, Colin G. Jones, Steven T. Rumbold, Till Kuhlbrodt, Andrea J. Dittus, Edward W. Blockley, Andrew Yool, Jeremy Walton, Catherine Hardacre, Timothy Andrews, Alejandro Bodas-Salcedo, Marc Stringer, Lee de Mora, Phil Harris, Richard Hill, Doug Kelley, Eddy Robertson, Yongming Tang
Summary: Many CMIP6 models have shown a significant cold bias in the global mean surface temperature in the latter part of the 20th century, which is believed to be attributed to an overly strong negative aerosol forcing. The updated version 1.1 of UK Earth System Model (UKESM1.1) has been developed to reduce the historical cold bias by improving the representation of SO2 dry deposition and making other modifications. The simulations show a significant improvement in the historical GMST record with a reduction in the magnitude of the cold bias by over 50%.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)