Optimizing the PM2.5 Tradeoffs: The Case of Taiwan by Shihping Kevin Huang, Sin-Yao Chen, Kuei-Lan Chou, Wei Chung Hsu, Kang-Hua Lai, Tung-Hung Chueh, Lopin Kuo, William Lu

“…We propose a LSTM-XGBoost model composing both socioeconomic and geo-meteorological factors together to improve the PM2.5 monitoring system. …”
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Unexpected Impact of COVID-19 Lockdown on the Air Quality in the Metro Atlanta, USA Using Ground-based and Satellite Observations by Guanyu Huang, Reyla Ponder, Amber Bond, Hailey Brim, Akua Temeng, Aaron R. Naeger, Lei Zhu

“…Abstract We studied the impact of COVID-19 (coronavirus disease 2019) lockdown on the air quality over the Atlanta area using satellite and ground-based observations, meteorological reanalysis data and traffic information. …”
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Fluctuations in Seminal Quality throughout the Year: How do Temperature, Humidity and Atmospheric Pressure Impact on Human Sperm Quality? by Nicolás David Ramírez, Andrea Tissera, Rosa Molina, Jose Olmedo, Héctor Guillermo Molina, Arnaldo Mangeaud, Ana Carolina Martini

“…Aims: To assess possible seasonality in sperm quality and associations between semen parameters and several meteorological variables (temperature, humidity, apparent temperature and atmospheric pressure) in a large cohort of andrological patients. …”
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Soot Particle Agglomeration Inlet (SPAI) for Enabling Online Chemical Composition Measurement of Nanoparticles with the Aerosol Mass Spectrometer by Sampsa Martikainen, Sanna Saarikoski, Paxton Juuti, Hilkka Timonen, Jorma Keskinen, Panu Karjalainen

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A Large-Scale Snow Depth Retrieval Method for Alaska Based on Point-Surface Fusion and Random Forest Model by Ningjun Wang, Tiantian Liu

“…However, due to the sparse distribution of meteorological stations and the limited accuracy of passive microwave remote sensing data, the retrieval accuracy of large-scale snow depth in regions with complex terrain and variable climate conditions has faced significant challenges. …”
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Relationship between weather parameters and risk of exertional heat injuries during military training by Beng Hoong Poon, Alexander Wilhelm Gorny, Kaiyuan Zheng, Wee Kiong Cheong

“…Introduction: The Singapore Armed Forces (SAF) collaborated with the Meteorological Service Singapore (MSS) to study the relationship between weather parameters and the incidents of exertional heat injury (EHI) to mitigate the risk of EHI in a practical manner. …”
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Machine Learning Applications to Dust Storms: A Meta-Analysis by Reem K. Alshammari, Omer Alrwais, Mehmet Sabih Aksoy

“…Different methods are used to predict dust storms, such as observing satellite images, analyzing meteorological data, and using numerical weather prediction model forecasts. …”
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Impact of COVID-19 Event on the Air Quality in Iran by Parya Broomandi, Ferhat Karaca, Amirhossein Nikfal, Ali Jahanbakhshi, Mahsa Tamjidi, Jong Ryeol Kim

“…In terms of the national air quality, SO2 and NO2 levels decreased while AOD increased during the lockdown. Unfavourable meteorological conditions hindered pollutant dispersion. …”
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Key Factors Controlling Number Concentrations of Non-charged Particles: An Experimental Study by Tatsuhiro Mori, Ayumi Iwata, Ryoya Tabata, Tomoaki Okuda

“…A decrease in the Nnon-charge/Ntotal ratio with an increase in the negative ion concentration (nion–) and the nion–/Ntotal ratio under stable meteorological conditions showed an increase in the number of charged particles by collisions between aerosols and ions. …”
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Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal by Erica Shrestha, Suyog Poudyal, Anup Ghimire, Shrena Maharjan, Manoj Lamichhane, Sushant Mehan

“…Two strategies were applied: (1) the proposed ML models were tested at each weather station using leave-one-out cross-validation (LOOCV), (2) meteorological stations were grouped into three clusters using the K-means clustering and model performance were evaluated on each cluster. …”
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Influences of a Quasi-stationary Front on Particulate Matter in the Low-latitude Plateau Region in China by Wenxuan Fan, Jian Wu, Xiaopeng Li, Fangyuan Yang, Bing Chen, Jun Guo

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Characterizing Traffic-Related Ultrafine Particles in Roadside Microenvironments: Spatiotemporal Insights from Industrial Parks by Sultan F.I. Abdillah, Sheng-Jie You, Ya-Fen Wang

“…Both pollutants at IN and RS were significantly influenced by traffic activities, while at UB, they were associated with meteorological conditions and secondary emission. Elevated levels of pollutants identified in this study have exceeded typical “high-level” UFPs according to WHO AQG 2021, indicating an intensified exposure risk for pedestrians and residents. …”
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Advances in the Research on Brown Carbon Aerosols: Its Concentrations, Radiative Forcing, and Effects on Climate by Shuai Li, Hua Zhang, Zhili Wang, Yonghang Chen

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Effect of Future Climate Change on Stratosphere-to-Troposphere-Exchange Driven Ozone in the Northern Hemisphere by Shovan Kumar Sahu, Lei Chen, Song Liu, Jia Xing, Rohit Mathur

“…Comparison of STE and non-STE meteorological process contributions to O3 due to climate change revealed that contributions of non-STE processes were highest in summer while STE contributions were highest in winter. …”
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Changes in Tropospheric Nitrogen Dioxide Vertical Column Densities over Japan and Korea during the COVID-19 Using Pandora and MAX-DOAS by Yongjoo Choi, Yugo Kanaya, Hisahiro Takashima, Kihong Park, Haebum Lee, Jihyo Chong, Jae Hwan Kim, Jin-Soo Park

“…This result confirmed that the reduction in NO2 can be largely explained by the NOx emission reduction resulting from social distancing for COVID-19 rather than annual meteorological differences; however, in December 2020, NO2 recovered suddenly to its previous level due to an increase in human activities.…”
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Extreme precipitation associated with atmospheric rivers over West Antarctic ice shelves: insights from kilometre-scale regional climate modelling by E. Gilbert, D. Pishniak, J. A. Torres, A. Orr, M. Maclennan, M. Maclennan, N. Wever, K. Verro, K. Verro

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Analysis of Air Quality Changes and Influencing Factors in Changchun during the COVID-19 Pandemic in 2020 by Hanbo Gao, Ju Wang, Tongnan Li, Chunsheng Fang

“…Abstract To study the air quality changes during the Corona Virus Disease 2019 (COVID-19) lockdown in Changchun, we analyzed the changes in pollution of six major pollutants (PM2.5, PM10, SO2, NO2, O3, CO) and correlated them with meteorological parameters, using meteorological data and pollutants concentration data. …”
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Formation and Evolution Mechanisms of Severe Haze Pollution in the Sichuan Basin, Southwest China by Xianyu Yang, Yaqiong Lu, Xinsheng Zhu, Jianjun He, Qi Jiang, Kai Wu, Haolin Wang, Xiaoling Zhang, Shigong Wang

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Investigating the Effect of Seasonal Variation on Road Traffic Accident Occurance Along Selected Routes in Western Uganda. by Kwesiga, Ivan

“…Secondary data on RTAs and mean monthly rainfall were collected for the period covered by the study from the Uganda Traffic Police Force and the Uganda National Meteorological Authority, Kabale Meteorological Station. …”
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A holistic stochastic model for precipitation events by Alexander Weyant, Alexander Gershunov, Anna K. Panorska, Tomasz J. Kozubowski, Julie Kalansky

“…This characterization opens the door to further understanding of risk associated with out-of-sample meteorological events.…”
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