Contributions of Biomass Burning and Other Sources to Fine Particle Level and Oxidative Potential in Suburban Tokyo, Japan by Akihiro Fushimi, Ana M. Villalobos, Akinori Takami, Kiyoshi Tanabe, James J. Schauer

“…The PM2.5 oxidative potentials were highest in spring and summer. Correlation and meteorological analyses suggest that emissions from ships (or other residual oil combustion) and anthropogenic SOA originating from the Tokyo Metropolitan Area, and biogenic SOA contribute to an increase in PM2.5 oxidative potential during the warm season in the suburbs of Tokyo. …”
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Seasonal Particle Size Distribution and its Influencing Factors in a Typical Polluted City in North China by Wenxin Wang, Xiaohua Wang, Xue Li, Chao Chen, Yu Wang, Zhiwen Xing, Kun Li, Min Wei, Xiao Sui, Houfeng Liu

“…Moreover, there was also a strong correlation between PM2.5 concentration and meteorological-air pollutant factors interactions. PM2.5-10 was found to be positively correlated with gaseous pollutants such as NO2, SO2, and CO, as well as RH and air pressure. …”
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Climate variability can outweigh the influence of climate mean changes for extreme precipitation under global warming by K. Nordling, K. Nordling, N. L. S. Fahrenbach, B. H. Samset

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Evaluation of the Cost of Intelligent Upgrades of Transportation Infrastructure for Intelligent Connected Vehicles by Zongwei Liu, Haokun Song, Hong Tan, Han Hao, Fuquan Zhao

“…The results show that the intelligent transportation infrastructure for advanced ICVs mainly includes communication base stations, roadside units (RSUs), vision sensors, millimeter-wave radars, laser radars (LiDARs), meteorological sensors, intelligent signal machines, edge computing servers, and cloud computing centers. …”
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Catastrophic and violent tornadoes: a detailed review of physical-mathematical models by Sergey A. Arsen’yev, Lev V. Eppelbaum

“…When a gravity wave reaches a thunderstorm supercell that has already formed inside the atmospheric front, it is captured by the supercell because upward air movements destroy its inversion. As meteorological conditions adapt to weather conditions, the pressure within the thunderstorm cell decreases, and wind speed increases, resulting in a violent tornado. …”
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Long-term reconstructed vegetation index dataset in China from fused MODIS and Landsat data by Xiangqian Li, Qiongyan Peng, Ruoque Shen, Wenfang Xu, Zhangcai Qin, Shangrong Lin, Si Ha, Dongdong Kong, Wenping Yuan

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Wind farms reduce grassland plant community diversity and lead to plant community convergence by Xuancheng Zhao, Fengshi Li, Yuan Yuan, Guna Ari, Yongzhi Yan, Qing Zhang, Aruhan Olhnuud, Pengtao Liu

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Combining ability of CMS-lines of grain sorghum based on A1, A2, A3, A4, 9E and M-35-1A types of сytoplasmic male sterility by O. P. Kibalnik

“…The tests were conducted on the experimental field of “Rossorgo” in 2015–2016. Meteorological conditions during the studies differed in the amount of precipitation and the sum of active temperatures. …”
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An explainable Bayesian gated recurrent unit model for multi-step streamflow forecasting by Lizhi Tao, Yueming Nan, Zhichao Cui, Lei Wang, Dong Yang

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Impact of Tibetan plateau warming amplification on the interannual variations in East Asia Summer precipitation by XiaoJing Jia, XinHai Chen, Wei Dong, Hao Ma, JingWen Ge, QiFeng Qian

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Using multivariate generalized linear latent variable models to measure the difference in event count for stranded marine animals by R.E. Caraka, R.C. Chen, Y. Lee, T. Toharudin, C. Rahmadi, M. Tahmid, A.S. Achmadi

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Zoning atmospheric Hazards in North West of Iran by batool zeinali, sima khalili, saideh eiyni

“…The aim of current research is atmospheric hazards climate zoning in Iran Northwest. So meteorological organization data were used in cases such as mean temperature , minimum temperature , maximum temperature, precipitation in monthly and daily scale for 13 synoptic stations in range of East Azerbaijan province, West Azerbaijan province) and Ardebil province during 26 years. (1990-2015) in this research , it was investigated 10 main atmospheric hazards such as famine or drought , hailstone,, heavy snow , thunder storm, severe precipitation, margin precipitation , blizzard , fogging , dust storm in range of Northwest bound. …”
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Attribution of a record-breaking cold event in the historically warmest year of 2023 and assessing future risks by Yangbo Ye, Cheng Qian, Aiguo Dai, Yuting Zhang, Jiacheng Jiang, Xiaoye Zhang

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A Comparative Spatiotemporal Analysis for Long-Term Trends of Hydrometeorological Variables in Maritsa River Basin by Mehmet Seren Korkmaz, Kevser Merkür Başkesen, Ertuğrul Sunan

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Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach. by Rodrigue Govan, Romane Scherrer, Baptiste Fougeron, Christine Laporte-Magoni, Roman Thibeaux, Pierre Genthon, Philippe Fournier-Viger, Cyrille Goarant, Nazha Selmaoui-Folcher

“…The analysis encompasses a broad spectrum of variables, including meteorological, topographic, and socio-demographic factors. …”
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Parameter Uncertainty Analysis for Streamflow Simulation Using SWAT Model in Nashe Watershed, Blue Nile River Basin, Ethiopia by Megersa Kebede Leta, Dessalegn Geleta Ebsa, Motuma Shiferaw Regasa

“…The required input data for this study were digital elevation model, land use, soil map and data, meteorological data (precipitation, minimum and maximum temperature, wind speed, solar radiation, and relative humidity), and streamflow data. …”
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Design of a Solar Dryer for Tomatoes. by Bwire, Samlex Sibagaya

“…The design was based on the geographical location which is kabale and meteorological data were obtained for proper design specification. …”
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The effect of short-term of fine particles on daily respiratory emergency in cities contaminated with wood smoke by R. Torres, N. Baker, G. Bernal, F. Peres, A. Maldonado, D.D. Caceres

“…<br /> <strong>METHODS: </strong>Association was assessed using both distributed lag linear and non-linear Poisson models constrained to a 7-day lag period, adjusting for temporal trends and meteorological variables and stratifying seasonally into cold and warm periods.…”
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Phytoplankton growth and succession driven by topography and hydrodynamics in seasonal ice-covered lakes by Ziyue Zhao, Yanfeng Wu, Y. Jun Xu, Yexiang Yu, Guangxin Zhang, Dehua Mao, Xuemei Liu, Changlei Dai

“…An integrated underwater topographic-hydrodynamic model was constructed based on topographic data from 597 exploration points and long-term hydrological and meteorological observational data. The dominant algal species and their three-dimensional distribution and succession processes during different periods were studied in detail. …”
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A Mobile Image-Driven PM2.5 Estimation Framework Using Deep Learning Techniques by Anupam Kamble, Somrawee Aramkul, Paskorn Champrasert

“…Met-EfficientNet-B1-BiLSTM was designed and implemented to incorporate the meteorological features - temperature, wind speed, and humidity to further improve the estimation accuracy. …”
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