Effect of Emission Penalty and Annual Interest Rate on Cogeneration of Electricity, Heat, and Hydrogen in Karachi: 3E Assessment and Sensitivity Analysis by Mehdi Jahangiri, Ali Mostafaeipour, Habib Ur Rahman Habib, Hamed Saghaei, Asad Waqar

“…To this end, 4500000 possible cases were analyzed, simulated, and optimized with the HOMER software using 20-year average meteorological data from the NASA website. A sensitivity analysis was performed on this system for the first time in Pakistan. …”
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Completion of the Central Italy daily precipitation instrumental data series from 1951 to 2019 by Gamal AbdElNasser Allam Abouzied, Guoqiang Tang, Simon Michael Papalexiou, Martyn P. Clark, Eleonora Aruffo, Piero Di Carlo

“…It is also an essential meteorological variable used as input for hydroclimatic models and projections. …”
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Adapting Ensemble‐Calibration Techniques to Probabilistic Solar‐Wind Forecasting by N. O. Edward‐Inatimi, M. J. Owens, L. Barnard, H. Turner, M. Marsh, S. Gonzi, M. Lang, P. Riley

“…Ensemble forecasting generates sets of outputs to create probabilistic forecasts which quantify forecast uncertainty, vital for reliable/actionable forecasts. We adapt meteorological methods to create a calibrated solar‐wind ensemble and probabilistic forecast for ambient solar wind, a prerequisite for accurate coronal mass ejection (CME) forecasting. …”
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A Study on Dust Storm Pollution and Source Identification in Northwestern China by Hongfei Meng, Feiteng Wang, Guangzu Bai, Huilin Li

“…The study found that PM₁₀ played a dominant role in the storm, and the AOD values during the storm in Lanzhou were significantly higher than the annual average, highlighting the severe impact on regional air quality. Key meteorological conditions influencing the storm’s occurrence were analyzed, including the formation and eastward movement of a high-potential ridge, convection driven by diurnal temperature variations, and surface temperature increases coupled with decreased relative humidity, which together promoted the generation and development of dust. …”
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The necessity of gestational vitamin D supplementation depends on ambient temperature: concern for infant vitamin D status by Wanjun Yin, Wanjun Yin, Wanjun Yin, Wanjun Yin, Lei Zhang, Lei Zhang, Peng Zhu, Peng Zhu

“…The daily mean temperature of Hefei was obtained from the China Meteorological Data Sharing Service System. Individual information on sociodemographic characteristics, perinatal health status, lifestyle, and birth outcomes was collected prospectively.ResultsThe best-fit relationship was observed in the regression model using a quadratic function to describe the association between the ambient temperature of the eighth gestational month (29–32 gestational weeks) and cord blood 25(OH)D concentrations (R2 = 0.358, p < 0.001). …”
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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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Zooming into Berlin: tracking street-scale CO2 emissions based on high-resolution traffic modeling using machine learning by Max Anjos, Fred Meier

“…Using data-driven algorithms, traffic counts, spatio-temporal features, and meteorological data, our model predicted hourly traffic flow, average speed, and CO2 emissions for passenger cars (PC) and heavy-duty trucks (HDT) at the street scale in Berlin. …”
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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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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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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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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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Spatiotemporal Changes of Extreme Precipitation and Its Teleconnection Analysis with Climate Circulation Indices in Three Gorges Reservoir Area in Recent 60 Years by ZENG Huiqi, TENG Shunlin, SHAO Meng, ZHANG Lu, WANG Yuefeng

“…Analyzing the correlation between large-scale climate circulation and extreme precipitation is of great significance for regional flood and drought warnings and extreme weather management.Previous studies have well revealed the influence of a single climate circulation index,while the influence characteristics of multiple climate circulation indices are still unclear.According to the daily precipitation in 21 meteorological stations in Three Gorges Reservoir Area (TGRA) from 1960 to 2019,eight extreme precipitation indices (CDD,CWD,R10,R20,Rx1d,Rx5d,R95p,and R99p) were constructed in terms of precipitation duration and absoluteness,and Mann-Kendall (M-K) trend test,Spearman correlation analysis,and multiple linear regression (MLR) were used to analyze the spatiotemporal changes during extreme precipitation in the TGRA.Then the correlation between extreme precipitation and climate circulation was revealed in terms of single and multiple factors.The results showed that:①The R10,R20,Rx1d,Rx5d,R95p,and R99p in the TGRA spatially decreased from northwest to southeast from 1960 to 2019,which was similar to the spatial trend of multi-year average precipitation;②the CWD,CDD,R10,and Rx5d generally decreased,while R20,Rx1d,R95p,and R99p increased.The duration of continuous precipitation events in the TGRA shortened,but the frequency and intensity of short-term strong precipitation events increased;③in terms of teleconnection analysis of extreme precipitation and climate circulation index,the multiple factor regression analysis could better explain the extreme precipitation index than the single factor regression analysis.Specifically,the combination of the East Asian Summer Monsoon Index (EASMI) and the South Asian Summer Monsoon Index (SASMI) had the best performance in explaining the extreme precipitation index.This study can provide a scientific basis for coping with extreme climate change and weather disaster prediction and warning in the TGRA.…”
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Decade-Long Analysis: Unravelling the Spatio-Temporal Dynamics of PM10 Concentrations in Malaysian Borneo by Salwa Naidin, Justin Sentian, Farrah Anis Fazliatul Adnan, Franky Herman, Siti Rahayu Mohd Hashim

“…Biomass burning is identified as the primary source of emissions, contributing to the significant monthly and seasonal variations in this region. Meteorological conditions and the El Niño phenomenon were observed to exert a significant influence on the concentration and distribution of PM10 in this area. …”
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Attribution analysis of water-sediment variation under the influence of climate change and human activities in the Kuye River Basin by Jiankang ZHANG, Jiping WANG, Jiansheng SHI

“…To understand the change patterns of water and sediment in the Kuye River Basin and provide scientific basis for water resources management and ecological protection under the impacts of climate change and human activities, based on hydrological and meteorological observation data, NDVI (normalized difference vegetation index), and land use change data, this study quantitatively analyzed the trends of water and sediment changes in the basin and their attributed influences using the Mann-Kendall non-parametric test, double mass curve method, cumulative anomaly analysis, sliding rank-sum test, and cumulative quantity slope change rate analysis. …”
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Harnessing AI for Enhanced Weather Prediction: A Focus on Rainfall by Hira Farman, Noman Islam, Noman Hasany

“…Existing models may struggle to reflect the dynamic and complicated character of meteorological systems, making it challenging to build effective flood protection techniques and predict accurate rainfall. …”
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Techno-environmental optimal sizing and dynamic behavior of a hybrid system feeding a large-scale SWRO desalination system: The case of Djerba Island, Tunisia by Mohamed Hamdi, Oumayma Gtari, Majdi Hazami

“…The dynamic behavior of the optimal architecture is designed by considering the real meteorological data of Djerba Island. In terms of productivity, the maximum photovoltaic and wind energy production reached 11.31 GWh in July and 0.51 GWh in April, respectively. …”
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Divergent Responses of Grassland Productivity to Large-Scale Atmospheric Circulations Across Ecoregions on the Mongolian Plateau by Cuicui Jiao, Xiaobo Yi, Ji Luo, Ying Wang, Yuanjie Deng, Xiao Guo

“…In this study, we analyzed the spatial and temporal variations of ANPP and their response to local meteorological and large-scale climatic variabilities across the MPG from 1982 to 2015. …”
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Long-term hydrological drought monitoring and trend analysis in Blue Nile River basin by Kassa Abera Tareke

“…Nevertheless, the study highlighted the imperative role of soil and water conservation measures in upstream countries, such as the Ethiopian highlands, in mitigating the prolonged effects of meteorological drought which gradually propagates into severe hydrological drought. …”
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