Determination of the best time series model for forecasting annual rainfall of selected stations of Western Azerbaijan province by Somayeh Soltani gerdfaramarzi, Aref Saberi, Morteza Gheisouri

“…Limitations such as lack of sufficient information about the amount of rainfall in time and space scale and complexity of the relationship between meteorological elements related to rainfall, causes the calculation of these parameters using the conventional method not to be implemented. …”
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Environmental crises and climate change: Eco-anxiety among young people and the urgent need for a transformative response by Annamaria Lammel

“…It impacts mental health directly via extreme meteorological events, indirectly via consequences such as famine, and vicariously via the media. …”
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Analysis of the Effect of Precipitation Type on Flow Simulation in Talar and Khoramabad Watershed by Mohammad Golshan, Abdollah Pirneia, Payam Ebrahimi, Abazar Esmali Ouri

“…Therefore, the maps of land use, soil, digital elevation model and meteorological data were collected for each region. Hydrological response units (HRU) was determined in 223 in Talar and 265 HRU khorramabad watershed by overlapping spatial layers. …”
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Satellite-Driven Hydrological Modelling in Ungauged Moroccan bassins: Case study Ouzoud river by Zilali Abdessamad, Larabi Abdelkader, Ajdor Youssef

“…Over the past two decades, satellite-driven products, such as ERA5, have become crucial for enhancing precipitation and meteorological measurements, especially in complex terrains and changing climatic conditions. …”
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Comprehensive evaluation and attribution analysis of baseflow variation in a typical karst basin, Southwest China by Chongxun Mo, Changhao Jiang, Shiting Long, Weiyan Cen

“…An adaptive baseflow research system for karst basins was established in this study, including the application of nine baseflow separation methods to reduce uncertainty in baseflow simulations, a more rational determination of annual and intra-annual baseflow characteristics, and an assessment of the impacts of climate change and human activities combining key meteorological elements and socio-economic indicators through the double-mass curve and SCRCQ methods. …”
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PM2.5 Concentration Prediction Based on Markov Blanke Feature Selection and Hybrid Kernel Support Vector Regression Optimized by Particle Swarm Optimization by Lian-Hua Zhang, Ze-Hong Deng, Wen-Bo Wang

“…Abstract This study employed air quality and meteorological data as research materials and extracted the optimal feature subset by using the approximate Markov blanket-based normal maximum relevance minimum redundancy (nMRMR) algorithm to serve as the input data of the prediction model. …”
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Intelligence Based Controlling Models for Effective Power Tracking and Voltage Enhancement in Grid-PV Systems by I. E. S. Naidu, T. Padmavathi, S. Venkata Padmavathi, Budidi U. Kumar

“…The proposed control architecture presents a new Fractional Order Proportional-Integral-Derivative Control (FOPTC) technique and its adaptation mechanism for correct MPPT under dynamic variations of meteorological conditions. Consequently, it offers improved energy harvesting because it is able to identify the global maximum power point with higher speed and precision than traditional control techniques that apply hybrid approaches. …”
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Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range) by Behnam Sedaghat, Ali Javadzade khiavi, Babak Naeim, Erfan Khajavi, Amir Reza Taghavi Khanghah

“…However, it poses challenges in mountainous areas due to limited accessibility, diverse topographic and physiographic features, and insufficient meteorological stations. To overcome these limitations, remote sensing, which offers multiple advantages like providing information at different scales, extensive coverage, and cost-effectiveness, is employed to assess various snow cover extraction methods in mountainous regions. …”
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Analysis of Air Quality during the COVID-19 Pandemic Lockdown in Naples (Italy) by Alessia Sannino, Mariagrazia D’Emilio, Pasquale Castellano, Salvatore Amoruso, Antonella Boselli

“…The observed features have been associated to the strong meteorological interference from Saharan Dust in the Mediterranean area also affecting the city of Naples.…”
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Decomposition-Based Multistep Sea Wind Speed Forecasting Using Stacked Gated Recurrent Unit Improved by Residual Connections by Jupeng Xie, Huajun Zhang, Linfan Liu, Mengchuan Li, Yixin Su

“…Sea wind speed forecast is important for meteorological navigation system to keep ships in safe areas. …”
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Hydrometeorological Variability of Olive Ridley Sea Turtle (<i>Lepidochelys olivacea</i>) Nesting Beaches: Implications for Conservation Practices by Anatoliy Filonov, Enrique Godínez-Domínguez, Iryna Tereshchenko, Cesar O. Monzon, David Avalos-Cueva, María del Refugio Barba-López

“…Atmospheric parameters were modeled using Newton’s Cooling Law and solved with the finite difference method to estimate heat loss rates from beach sand to its surroundings, shedding light on microclimatic effects on incubation and embryonic development. Meteorological data were gathered from an automatic weather station, while sand temperatures were monitored with thermographs. …”
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The Artic Oscillation (AO) and its role on of wintertime monthly minimum temperatures variability in Northeastern region of Iran

“…The required statistics, including statistics monthly minimum temperatures for 17 synoptic stations of the under study area was provided from Iran Meteorological Organization’s (IRMO). Pearson correlation analysis as the main method used in this study Show an inverse relationship between minimum temperatures and most selected stations and AO index.The results of this study shows that there is a significant relationship between the AO teleconnection pattern and minimum temperatures of north-east of Iran during the cold season of the year. …”
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Effects of Climate Change on Agricultural Calendar in the North of Iran by mojtaba shahnazari, Zahra Hejazizadeh, Mohammad Saligheh

“…Abstract In this research, while studying climate conditions in the current period and analyzing changes in temperature, precipitation level, and the sunlight received, current conditions were also analyzed based on daily data from synoptic stations in the region, which had meteorological data recorded for at least 30 years. Given the environmental conditions necessary for the growth of rice, the availability of its phenological data, its high-low temperature thresholds, the Degree Day systems needed for the completion of its life cycle, and the phenological processes related to its economic production, a suitable agricultural calendar was specified. …”
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Evaluation of biases in mid-to-high-latitude surface snowfall and cloud phase in ERA5 and CMIP6 using satellite observations by F. Hellmuth, T. Carlsen, A. S. Daloz, R. O. David, H. Che, T. Storelvmo

“…The biases are very similar for ERA5 and the CMIP6 models, which indicates that the discrepancies in cloud phase and snowfall stem from differences in the representation of cloud microphysics rather than the representation of meteorological conditions. This, in turn, highlights the need for refinements in the models’ parameterizations of cloud microphysics in order for them to represent cloud phase and snowfall accurately. …”
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Development of a fixed-order $$H_{\infty }$$ controller for a robust P&O-MPPT strategy to control poly-crystalline solar PV energy systems by Moussa Sedraoui, Mohcene Bechouat, Ramazan Ayaz, Yahya Z. Alharthi, Abdelhalim Borni, Layachi Zaghba, Salah K. ElSayed, Yayehyirad Ayalew Awoke, Sherif S. M. Ghoneim

“…Performance assessments at STC compare the standard and robust P&O-MPPT strategies, demonstrating the proposed method’s superiority in performance and robustness, especially under sudden meteorological changes and varying loads. Experiment results confirm the new control strategy’s effectiveness over the standard approach.…”
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Temporal Probability Analysis of Flood Occurrence Using Peak Over Threshold Method for Extreme Rainfall Events by Oktaviana Pratnya Paramitha, Syafei Arie Dipareza, Kuswanto Heri, Hermana Joni

“…This study conducts the analysis of temporal probability of flood risk due to extreme rainfall in Jakarta by using data from meteorological stations in Kemayoran (for Central Jakarta) and Tanjung Priok (for North Jakarta) over 30 years (1994-2023). …”
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A Machine Learning-Based Model for Predicting Atmospheric Corrosion Rate of Carbon Steel by Ngoc-Long Tran, Trong-Ha Nguyen, Van-Tien Phan, Duy-Duan Nguyen

“…Accordingly, seven meteorological and chemical factors of corrosion, namely, the average temperature, the average relative humidity, the total rainfall, the time of wetness, the hours of sunshine, the average chloride ion concentration, and the average sulfur dioxide deposition rate, are used as input variables for the ANN model. …”
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A Practical Approach for Predicting Power in a Small-Scale Off-Grid Photovoltaic System using Machine Learning Algorithms by Aadyasha Patel, O. V. Gnana Swathika, Umashankar Subramaniam, T. Sudhakar Babu, Alok Tripathi, Samriddha Nag, Alagar Karthick, M. Muhibbullah

“…However, solar photovoltaic panel is heavily dependent on meteorological data of the installation site and weather fluctuations. …”
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Development of Optimal Tilt Angle Models of a Photovoltaic Module for Maximum Power Production: Ethiopia by Ahunim Abebe Ashetehe, Belachew Bantyirga Gessesse, Fekadu Shewarega

“…In this paper, generic models were developed that determine the seasonal and annual optimal tilt angle of the Photovoltaic module at any location in Ethiopia without using meteorological data. Both isotropic and anisotropic diffuse solar radiation models were used to estimate monthly, seasonal, and annual optimal tilt angles. …”
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Lessons from COVID-19 and Seoul: Effects of Reduced Human Activity from Social Distancing on Urban CO2 Concentration and Air Quality by Hayoung Park, Sujong Jeong, Ja-Ho Koo, Sojung Sim, Yeon Bae, Yeonsoo Kim, Chaerin Park, Jeongyeon Bang

“…Moreover, the insignificant change in wind speed and wind direction during the months of February and March 2020 compared to 2019 implies that CO2, CO, and NO2 concentrations have not been influenced by meteorological conditions, but mainly by changes in emissions from decreased human activity. …”
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