Predicting Interplanetary Shock Occurrence for Solar Cycle 25: Opportunities and Challenges in Space Weather Research by Denny M. Oliveira, Robert C. Allen, Livia R. Alves, Séan P. Blake, Brett A. Carter, Dibyendu Chakrabarty, Giulia D’Angelo, Kevin Delano, Ezequiel Echer, Cristian P. Ferradas, Matt G. Finley, Bea Gallardo‐Lacourt, Dan Gershman, Jesper W. Gjerloev, John Bosco Habarulema, Michael D. Hartinger, Rajkumar Hajra, Hisashi Hayakawa, Liisa Juusola, Karl M. Laundal, Robert J. Leamon, Michael Madelaire, Miguel Martínez‐Ledesma, Scott M. McIntosh, Yoshizumi Miyoshi, Mark B. Moldwin, Emmanuel Nahayo, Dibyendu Nandy, Bhosale Nilam, Katariina Nykyri, William R. Paterson, Mirko Piersanti, Ermanno Pietropaolo, Craig J. Rodger, Trunali Shah, Andy W. Smith, Nandita Srivastava, Bruce T. Tsurutani, S. Tulasi Ram, Lisa A. Upton, Bhaskara Veenadhari, Sergio Vidal‐Luengo, Ari Viljanen, Sarah K. Vines, Vipin K. Yadav, Jeng‐Hwa Yee, James W. Weygand, Eftyhia Zesta

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Geomorphic imprint of high-mountain floods: insights from the 2022 hydrological extreme across the upper Indus River catchment in the northwestern Himalayas by A. Kashyap, K. L. Cook, M. D. Behera

“…The synoptic observations suggest that this meteorological condition involves the interaction of the Indian summer monsoon (ISM) and western-disturbance (WD) moisture fluxes. …”
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Perception and adaptation to climate change in vulnerable regions by A. Jiménez Bedoya, F. Fuentes Gandara, R. Paternina Uribe, J. Pinedo Hernández

“…Focus groups' perception aligned with historical meteorological data on flood and La Niña phenomena. Priorities for government intervention include response to early emergencies, community participation, and stakeholder collaboration in future planning. …”
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Effective rain rate model for analysing overestimated rain fade in short millimetre-wave terrestrial links due to distance factor by Asma Ali Budalal, Ibraheem Shayea, Md. Rafiqul Islam, Jafri Din, Abdulsamad Ebrahim Yahya, Yousef Ibrahim Daradkeh, Marwan Hadri Azmi

“…The findings emphasize the importance of developing region-specific models that consider local meteorological variations, potentially offering significant improvements to the reliability and design of mm-wave communication systems and realizing the future goal of 6G wireless mobile fronthaul.…”
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Quantification of Soil–Water Erosion Using the RUSLE Method in the Mékrou Watershed (Middle Niger River) by Rachid Abdourahamane Attoubounou, Hamidou Diawara, Ralf Ludwig, Julien Adounkpe

“…Several types of data were used, including rainfall data, sourced from meteorological stations and reanalysis datasets, which capture the temporal variability of erosive forces. …”
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Long-term Cd remediation mechanisms and potential risks in soil with biochar application under dry-wet cycling at different soil moisture levels by Shuang Huang, Zhuowen Meng, Jingwei Wu, Lei Xin, Qin Zhao

“…To reveal the long-term Cd remediation mechanisms and potential risks in soil under biochar treatment, 180 days of artificial dry-wet cycling was conducted at four soil moisture levels (40 % θs, 60 % θs, 80 % θs, and 100 % θs; θs, saturated water content, W/W) based on local meteorological data to simulate 30 years of natural dry-wet processes. …”
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Capturing the extent of climate's dynamic effects on runoff and nutrient yields across short- and long-term scales by Di Chang, Shuo Li

“…Moreover, TN outputs are more sensitive to comprehensive meteorological variability compared to TP. Hydrological and water quality responses to climate change varied dramatically and increase over decades. …”
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Analysis of PM10 trends in open-pit mining: Assessing emission controls and WHO guideline compliance by Roberto Rojano, Heli A. Arregocés, Gloria Restrepo

“…During the study period, we analyzed monthly data on temperature, relative humidity, precipitation, wind speed, and wind direction. Meteorological parameters showed no significant anomalies with yearly values for the region. …”
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Climate change and its impacts on hydrological regimes over the Bengal delta by M.H. Ali, P. Biswas, S.M.Q. Hassan, M.A. Islam

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Association between exposure to environmental pollutants and increased oral health risks, a comprehensive review by Li Zhu, Mengchen Tang, Yinyin Cai, Yinyin Cai, Panpan Wang, Panpan Wang

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Developing a semi-automated technique of surface water quality analysis using GEE and machine learning: A case study for Sundarbans by Sheikh Fahim Faysal Sowrav, Sujit Kumar Debsarma, Mohan Kumar Das, Khan Mohammad Ibtehal, Mahfujur Rahman, Noshin Tabassum Hridita, Atika Afia Broty, Muhammad Sajid Anam Hoque

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Variations in the physicochemical properties of soil, enzyme activities, and the characteristics of bacterial communities within algal biocrusts and subsoils across different plant... by Haonian Li, Zhongju Meng, Xiaomen Ren, Yanlong Han

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Numerical Simulation of Multi-point Corona Discharge Characteristics in Thunderstorms by Xu Dewang, Tan Yongbo

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Prediction of Dynamic Plasmapause Location Using a Neural Network by Deyu Guo, Song Fu, Zheng Xiang, Binbin Ni, Yingjie Guo, Minghang Feng, Jianguang Guo, Zejun Hu, Xudong Gu, Jianan Zhu, Xing Cao, Qi Wang

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Future Extreme Climate Events Threaten Alpine and Subalpine Woody Plants in China by Yongru Wu, Jian Shen, David C. Deane, Haibin Yu, Fangyuan Yu, Xuerong Wang, Zheng Cao, Rong Yu, Fuan Xiao, Tiejun Wang, Zhifeng Wu

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Comprehensive performance evaluation of satellite-based and reanalysis rainfall estimate products in Ethiopia: For drought, flood, and water resources applications. by Desta Yoseph Wodebo, Assefa M Melesse, Tekalegn Ayele Woldesenbet, Kirubel Mekonnen, Ahmed Amdihun, Diriba Korecha, Hailay Zeray Tedla, Gerald Corzo, Asaminew Teshome

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The Efficient Integration of Dust and Numerical Weather Prediction for Renewable Energy Applications by Xi Chen, Mei Chong, Shian‐Jiann Lin, Zhi Liang, Paul Ginoux, Yuan Liang, Bihui Zhang, Qian Song, Shengkai Wang, Jiawei Li, Yimin Liu

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Early warning systems (EWSs) for chikungunya, dengue, malaria, yellow fever, and Zika outbreaks: What is the evidence? A scoping review. by Laith Hussain-Alkhateeb, Tatiana Rivera Ramírez, Axel Kroeger, Ernesto Gozzer, Silvia Runge-Ranzinger

“…Key findings were the following: (1) a large number of studies showed the quality performance of their prediction models but except for dengue outbreaks, only few presented statistical prediction validity of EWS; (2) while entomological, epidemiological, and social media alarm indicators are potentially useful for outbreak warning, almost all studies focus primarily or exclusively on meteorological indicators, which tends to limit the prediction capacity; (3) no assessment of the integration of the EWS into a routine surveillance system could be found, and only few studies addressed the users' perspective of the tool; (4) almost all EWS tools require highly skilled users with advanced statistics; and (5) spatial prediction remains a limitation with no tool currently able to map high transmission areas at small spatial level.…”
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Farmers’ Perception of the Impacts of Climate Variability and Change on Food Security in Rubanda District, South Western Uganda by Willbroad, Byamukama, Bello N.J, Omoniyi T.E

“…Secondary data was obtained from Kabale Meteorological center (rainfall and temperature) between 1976 and 2016. …”
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Time-Series Forecasting of PM_2.5 and PM₁₀ Concentrations Based on the Integration of Surveillance Images by Yong Wu, Xiaochu Wang, Meizhen Wang, Xuejun Liu, Sifeng Zhu

“…Our model, which combines a single-channel hybrid network consisting of VGG16 and LSTM (named VGG16-LSTM) with a single-channel Long Short-Term Memory (LSTM) network, efficiently captures detailed spatiotemporal features from surveillance image sequences and temporal features from atmospheric, meteorological, and temporal data, enabling accurate time-series forecasting of PM_2.5 and PM₁₀ concentrations. …”
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