Temporal shifts in dengue epidemic in Guangdong Province before and during the COVID-19 pandemic: a Bayesian model study from 2012 to 2022. by Jiaqing Xu, Xiaohua Tan, Yi Quan, Dexin Gong, Hui Deng, Jianguo Zhao, Xing Huang, Yingtao Zhang, Zhoupeng Ren, Zuhua Rong, Weilin Zeng, Xing Li, Wenyuan Zheng, Shu Xiao, Jianpeng Xiao, Meng Zhang

“…<h4>Methods</h4>Based on the data of dengue reported cases, meteorological factors, and mosquito vector density in Guangdong Province from 2012 to 2022, wavelet analysis was applied to investigate the relationship between the dengue incidence in Southeast Asian (SEA) countries and the local dengue incidence in Guangdong Province. …”
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PM2.5 in Sri Lanka: Trend Analysis, Low-cost Sensor Correlations and Spatial Distribution by Ranil Dhammapala, Ashani Basnayake, Sarath Premasiri, Lakmal Chathuranga, Karen Mera

“…The influence of meteorological variables and the performance of different statistical models were considered and the regression coefficients of the most applicable models are presented. …”
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Constructing Ubudehe? Farmers’ perceptions of drought impacts and resilience capacities in Bugesera, Rwanda by Lazare Nzeyimana, Åsa Danielsson, Veronica Brodén-Gyberg, Lotta Andersson

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Chemical and sensory properties of young cabernet sauvignon and marselan wines from subregions on the eastern foothills of helan mountains in ningxia, China: Terroir effect by Xue Zhang, Hui Yang, Na Liu, Jian Sun, Ruijia Yao, Fangzhou Shi, Jiming Li, Wenguang Jiang, Hongying Li, Qingchen Zhang, JunXiang Zhang

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Present-day mass loss rates are a precursor for West Antarctic Ice Sheet collapse by T. van den Akker, W. H. Lipscomb, G. R. Leguy, J. Bernales, C. J. Berends, W. J. van de Berg, R. S. W. van de Wal, R. S. W. van de Wal

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Spatiotemporal Characteristics of Extreme Precipitation and Its Future Trend Analysis in Huaihe River Basin by GUO Wei, YE Wen, ZHU Xuchao, WU Wei, WANG Lu, GAO Huamin, ZHANG Haiming, SHI Shaohui

“…To investigate the extreme precipitation change characteristics in the Huaihe River Basin in history (1961‒2022) and in the future, this paper employs historical observation precipitation data from meteorological stations, CMIP6 model simulations, and atmospheric circulation observation data. …”
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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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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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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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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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