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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Predicting turbidity dynamics in small reservoirs in central Kenya using remote sensing and machine learning by Stefanie Steinbach, Anna Bartels, Andreas Rienow, Bartholomew Thiong’o Kuria, Sander Jaap Zwart, Andrew Nelson

“…However, water quality in small reservoirs is often not monitored continuously, with the interlinkages between weather, land, and water remaining unknown. Turbidity is a prime indicator of water quality that can be assessed with remote sensing techniques. …”
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Comparison of aesthetic perception and acceptability of silver diamine fluoride staining between Spanish and Italian parents by Maria Chiara Cappiello, Ana Veloso Durán, Yasmi Ornelas Crystal, Simone Bagattoni, Francisco Guinot Jimeno

“…This study aimed to compare aesthetic perceptions and acceptance of SDF staining between Spanish and Italian parents, and assess weather acceptability is influenced by location, child’s cooperation, or demographic background. …”
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Optimizing Lightweight Recurrent Networks for Solar Forecasting in TinyML: Modified Metaheuristics and Legal Implications by Gradimirka Popovic , Zaklina Spalevic , Luka Jovanovic , Miodrag Zivkovic , Lazar Stosic , Nebojsa Bacanin 

“…While reliability holds great potential for improving energy production sustainability, the dependence of solar energy production plants on weather conditions can complicate the realization of consistent production without incurring high storage costs. …”
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Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…First, electricity usage and weather data from the UMass Smart Dataset are preprocessed, including steps such as data cleaning, standardization, and normalization. …”
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Flooding and child development: Evidence from Vietnam by My Tra Nguyen, Kien Le

“…Given children’s higher vulnerability to the threat of extreme weather events compared to the general population, it is important to study the impacts of flooding on child development. …”
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Wind Energy Resource Prediction and Optimal Storage Sizing to Guarantee Dispatchability: A Case Study in the Kenyan Power Grid by Hampfrey Odero, Cyrus Wekesa, George Irungu

“…Therefore, this study aims to utilize backpropagation neural network (BPNN) algorithm to conduct hourly prediction of the generation output of Lake Turkana Wind Power Plant (LTWPP), a 310 MW plant connected to the Kenyan power grid, and optimally size its battery energy storage system (BESS) using genetic algorithm (GA) to guarantee its dispatchability. The historical weather data, namely wind speed, ambient temperature, relative humidity, wind direction, and generation output from LTWPP, are employed in the training, testing, and validation of the neural network. …”
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Power generation expansion planning with high penetration of geothermal energy – Potential, prospects and policy by Muhammad Amir Raza, Mahmoud Ahmad Al-Khasawneh, Yahya Z. Alharthi, Muhammad Faheem, Raza Haider, Laveet Kumar

“…Climate is changing due to greater carbon emissions with observable effects like severe weather events, shifts in precipitation patterns, rising sea levels, and warming oceans. …”
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Impact of 21 June 2020 Annular Solar Eclipse on Meteorological Parameters, O3 and CO at a High Mountain Site in Taiwan by Saginela Ravindra Babu, Shantanu Kumar Pani, Chang-Feng Ou-Yang, Neng-Huei Lin

“…Compared to the control period (average of 13–20 June 2020), the weather parameters and trace gases show pronounced changes on the day of the eclipse (21 June 2020). …”
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Impact of Land-Use Change on Atmospheric Environment Using Refined Land Surface Properties in the Pearl River Delta, China by Anqi Lai, Yiming Liu, Xiaoyang Chen, Ming Chang, Qi Fan, Pakwai Chan, Xuemei Wang, Jianing Dai

“…We replaced the outdated land-use of the Weather Research and Forecasting-Chemistry (WRF-Chem) model with a refined dataset, the Global Land Cover 2009 (GLC2009) dataset, to investigate the impact of land-use change on the regional atmospheric environment in the Pearl River Delta (PRD) region. …”
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Numerical Study on the Thermal Performance of Trombe Wall for Passive Solar Building in Semiarid Climate by Maher Dhahri, Nima Khalilpoor, Hana Aouinet, Alibek Issakhov, Habib Sammouda, Sampath Emani

“…The air temperature gradient in the comfort ranges between the head and feet is 2.3°C; and (iii) the Trombe wall is an excellent solution for Sousse city weather; it is suggested that the passive system (TW-FR) will be examined for a whole year to have a precise evaluation of its efficiency.…”
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Investigation of Rheological Characteristics and Bleeding Behavior of PPA-Modified Bitumen Emulsion for Microsurfacing by Mohammadjavad AkhavanBahabadi, Mohammad Khabiri

“…It was also observed that the value of G*/sin ( ), as a measure of resistance to bleeding in hot weather, increases with PPA dosage in all samples, with the best performance obtained with the samples containing PPA at 0.8 and 1.2 wt.%. …”
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CBRN-p Hazards and Risks Triggered by Natural Events; Turkey Example by Ayşe Handan Dökmeci, Öznur Akduman

“…Considering that climate change increases the frequency and intensity of natural hazards related to weather, it is thought that knowing the inventory of hazards that may arise from existing CBRN-p substances can play a key role in reducing risks and preventing possible disasters. …”
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Case Study of Ground-Based Glaciogenic Seeding of Clouds over the Pyeongchang Region by Ha-Young Yang, Ki-Ho Chang, Sanghee Chae, Eunsil Jung, Seongkyu Seo, Jin-Yim Jeong, Jung-Ho Lee, Yonghun Ro, Baek-Jo Kim

“…The preseeding (NOSEED) and seeding (SEED) periods were defined based on the simulation results of AgI concentration (>10 L−1) in the Weather Research and Forecast (WRF) model with the modified Morrison scheme in microphysics. …”
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Diurnal variation in atmospheric pressure in Siedlce in 2001-2022 by Elżbieta Radzka, Marlena Radzka, Maria Markowska, Jozefína Pokrývková

“…Aim of the study: Rising and falling atmospheric pressure usually heralds changes in weather conditions such as temperature, air humidity, cloud cover, precipitation, and wind speed. …”
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Role of wave coupling in the simulation of tropical storm Choi-wan (2021) using a coupled ocean-atmosphere model by Haofeng Xia, Haofeng Xia, Haofeng Xia, Shuai Tang, Shuai Tang, Jie Chen, Shengtao Du, Wuhong Guo, Wuhong Guo

“…Overall, the wave dependent roughness parametrization demonstrated superior performance in reproducing storm-induced oceanic responses, emphasizing the critical role of wave coupling in simulating extreme weather events. This study underscores the importance of advanced coupled modeling systems in improving predictions of tropical cyclones and their impacts on the ocean and atmosphere.…”
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Identification of Saharan-Dust Intrusions over Sofia, Bulgaria, Using Near-Ground PM10 and PM2.5 Mass Concentration Measurements by Tsvetina Evgenieva, Elena Vakareeva, Ljuan Gurdev, Tanja Dreischuh

“…In the present work, results were analyzed of: concurrent measurements of near-ground aerosol PM10 and PM2.5 mass concentrations and the aerosol’s optical and microphysical characteristics as obtained by an AERONET Cimel CE318–TS9 sun/sky/lunar photometer, the MONARCH Saharan-dust forecasting model and the HYSPLIT air-mass back-trajectory-recovering model. Data on the weather conditions in Sofia Valley and the fires in Bulgaria and neighboring countries were also considered. …”
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Exploring the potential impacts of anthropogenic heating on urban climate during heatwaves by Ansar Khan, Konstantina Vasilakopoulou, Mattheos Santamouris

“…By investigating how varying levels of AH influence local urban climate conditions, this study addresses a critical gap in current urban climate study, particularly in the context of Sydney, an area that has not yet been extensively explored. Utilizing the weather research and forecasting (WRF) model coupled with building effect parameterization (BEP) and building energy model (BEM), i.e., the WRF/BEP + BEM model, four AH release scenarios were analyzed. …”
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Use of stepwise m5 model tree to forecast the P24max based on teleconnection indices by Golnar Ghanbarzadeh, Khalil Ghorbani, Meysam Salarijazi, Chooghi Bairam Komaki, Laleh Rezaei Ghaleh

“…Abstract In this study, the linear and non‐linear multivariate relationships between 25 teleconnection indices (tele‐indices) as independent variables and annual P24max as the dependent variable were analyzed using multivariate linear regression (MLR) and decision tree regression models (M5), in selected synoptic weather stations of Iran over a statistical period of 30 years (1992–2021). …”
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Modeling performances of maize cultivars under current and future climate scenarios in southern central Ethiopian rift valley by Daniel Markos, Walelign Worku, Girma Mamo

“…Methods Two set of independent crop, management and soil data were used for calibration and validation of genetic coefficients of maize cultivars (BH-540, BH-546, BH-547, Shala and Shone) under condition of historic weather (1990–2020). Later, we simulated the growth and yield of maize using twenty multimodel climate ensembles across RCP 4.5 and 8.5 during early, medium and late century across Shamana, Bilate, Hawassa and Dilla clusters using DSSATv4.8 model. …”
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