Ocean stratification impedes particulate transport to the plumes of Enceladus by Flynn Ames, David Ferreira, Arnaud Czaja, Adam Masters

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Ambient Atmospheric Aerosol Extinction Coefficient Reconstruction from PM2.5 Mass Concentrations and Application to Haze Identification in China by Lina Gao, Peng Yan, Jietai Mao, Xiaochun Zhang, Xiaoling Zhang, Yongxue Wu, Junshan Jing, Jianming Xu, Xuejiao Deng, Wenxue Chi

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Year-long Concurrent MAX-DOAS Observations of Nitrogen Dioxide and Formaldehyde at Pune: Understanding Diurnal and Seasonal Variation Drivers by Mriganka Sekhar Biswas, Anoop S. Mahajan

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Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

“…This research aimed to assess the feasibility of short-term PMx forecasting via machine learning (ML) and the subsequent identification of the primary meteorological covariates. The data comprised 10 years of hourly winter PM10 and PM2.5 concentrations measured at 11 urban air quality monitoring stations, including background, traffic, and industrial sites, in four large Polish agglomerations, viz., Poznań, Kraków, Łódź, and Gdańsk, which cover areas with high population density and diverse environments that extend from the Baltic Sea coast (Tricity) through the lowlands (Poznań and Łódź) to the highlands (Kraków). …”
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Interpretable Machine Learning Approaches for Forecasting and Predicting Air Pollution: A Systematic Review by Anass Houdou, Imad El Badisy, Kenza Khomsi, Sammila Andrade Abdala, Fayez Abdulla, Houda Najmi, Majdouline Obtel, Lahcen Belyamani, Azeddine Ibrahimi, Mohamed Khalis

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Vertical distribution of ice nucleating particles over the boreal forest of Hyytiälä, Finland by Z. Brasseur, J. Schneider, J. Lampilahti, V. Vakkari, V. Vakkari, V. A. Sinclair, C. J. Williamson, C. J. Williamson, C. Xavier, C. Xavier, D. Moisseev, D. Moisseev, M. Hartmann, P. Poutanen, M. Lampimäki, M. Kulmala, T. Petäjä, K. Lehtipalo, K. Lehtipalo, E. S. Thomson, K. Höhler, O. Möhler, J. Duplissy

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Magmatic volatiles control the sub-plinian basaltic eruptions at Ambae volcano, Vanuatu by Philipson Bani, Alessandro Aiuppa, Diego Coppola, Simon Carn, Dominique Cluzel, Estelle Rose-Koga, Etienne Medard, François Nauret, Yves Moussallam, Dan Tari, Iuma Bani

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Assessment of Reductions in Emission-driven Air Pollution during the Beijing Olympic Games, Shanghai World Expo, Guangzhou Asian Games and Wuhan COVID-19 Lockdown by Ying Li, Haoxiang Xu

“…In our previous work, we developed a wind-pollution decomposition (WPD) method that provides a robust tool to quantify meteorology-driven and emission-driven impacts on changes in air quality. …”
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Aerosol Opto-physical Properties: Temporal Variation, Aerosol Type Discrimination and Source Identification by Amol R. Kolhe, Gajanan Raghunath Aher, Pawan S. Soyam, Sachin D. Ralegankar, Sumita Kedia, Laxman M. Chaudhari, Vivek V. Antad, Sachin D. Ghude, Pramod D. Safai, Sanjay D. Chakane, Panuganti C. S. Devara

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Impact of COVID-19 Control Measures on Trace Gases (NO2, HCHO and SO2) and Aerosols over India during Pre-monsoon of 2020 by Mriganka Sekhar Biswas, D. C. Ayantika

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Investigating Two-dimensional Horizontal Mesh Grid Effects on the Eulerian Atmospheric Transport Model Using Artificial Neural Network by Amine Ajdour, Brahim Ydir, Houria Bouzghiba, Ishaq Dimeji Sulaymon, Anas Adnane, Dris Ben Hmamou, Kenza Khomsi, Jamal Chaoufi, Gábor Géczi, Radouane Leghrib

“…Transport chemistry models like CHIMERE operate deterministically, utilizing meteorological factors, emissions data, boundary conditions, and various physical processes such as transport and Horizontal Mesh-Grid to influence inputs and outputs. …”
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Modulation of western North Pacific tropical cyclone decadal variability by the Victoria mode by Tao Wen, Jianping Li, Shifei Tu, Ruiqiang Ding, Quanjia Zhong, Xumin Li

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Evaluating the Performance of Low-cost PM Sensors over Multiple COALESCE Network Sites by Vishal R. Dharaiya, Vasudev Malyan, Vikas Kumar, Manoranjan Sahu, Chandra Venkatraman, Pratim Biswas, Kajal Yadav, Diksha Haswani, Ramya Sunder Raman, Ruqia Bhat, Tanveer Ahmad Najar, Arshid Jehangir, Rohit P. Patil, G. Pandithurai, Sandeep Singh Duhan, Jitendra Singh Laura

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Design and Construction of an Anemometer. by Mukhangu, Paul

“…This research report examined the advancements in anemometer technology and their implications for meteorology and renewable energy. Anemometers play a crucial role in measuring wind speed and direction, essential for weather forecasting, environmental monitoring, and optimizing wind energy systems. …”
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Estimating the Prevalence of Opioid use Disorder in the Cincinnati Region using Probabilistic Multiplier Methods and Model Averaging by Peter J. Mallow, Nila Sathe, Michael Topmiller, Jennifer Chubinski, Dillon Carr, Roni Christopher

“…In other fields such as meteorology, finance, sports, and politics, model averaging is commonly employed to improve estimates and forecasts. …”
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Impacts of Floods on the Indoor Air Microbial Burden by Akila Muthalagu, Yang Lian, Rekha M Ravindran, Asif Qureshi

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Assessment of Air Quality and Noise around Okrika Communities, Rivers State, Nigeria by AE Gobo, TJK Ideriah, TE Francis, HO Stanley

“…@JASEM Keywords: Air quality, Okrika, Digital monitors, meteorology, Noise …”
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Rapid Built-up of PM10 in the Ambient Air of the Leeward Side Resulting from Strong Pressure Gradient Force Associated with Density Current by Wei-Kuo Soong, Chung-Hsuang Hung

“…Abstract Meteorological factors can result in air pollution. Some studies have indicated that the leeward side effect’s weak flow and subsidence play major roles in inducing high PM10 (particulate matter with a diameter of ≤ 10 µm) in southern Taiwan during winter due to topographic blocking. …”
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Exploring the typhoon intensity forecasting through integrating AI weather forecasting with regional numerical weather model by Hongxiong Xu, Yang Zhao, Zhao Dajun, Yihong Duan, Xiangde Xu

“…Our analysis underscores the potential of AI weather forecasting models as a viable alternative for driving regional models, suggesting a promising avenue for future research in meteorology.…”
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