Why Fuzzy Transform Is Efficient in Large-Scale Prediction Problems: A Theoretical Explanation by Irina Perfilieva, Vladik Kreinovich

“…In many practical situations like weather prediction, we are interested in large-scale (averaged) value of the predicted quantities. …”
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Flood Detection Based on Unmanned Aerial Vehicle System and Deep Learning by Kaixin Yang, Sujie Zhang, Xinran Yang, Nan Wu

“…Satellite remote sensing has been useful in emergency responses; however, with significant weakness due to long revisit period and unavailability during rainy/cloudy weather conditions. In recent years, unmanned aerial vehicle (UAV) systems have been widely used, especially in the fields of disaster monitoring and complex environments. …”
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Load Estimation of Complex Power Networks from Transformer Measurements and Forecasted Loads by Haina Rong, Francisco de León

“…An “effective temperature” reflecting complex weather conditions (sun irradiation, humidity, rain, etc.) is introduced to properly consider the effect on the power consumption of cooling and heating devices. …”
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Assessment of Flood Risk Based on ISO Clustering and Maximum Likelihood Method --Taking Wuchuan City as an Example by LIU Yang, SONG Feiyan, LIN Kairong, LIN Bo

“…Under the background of global climate change, extreme weather,especially heavy rainfall and storm surge, is becoming an important influencingfactor of flood disaster in coastal areas, endangering the safety of localpeople's lives and property. …”
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Progress and Challenge of Optical Remote Sensing Inversion on Soil Moisture by QIN Xiangdong, PANG Zhiguo, JIANG Wei

“…Soil moisture is an important parameter for influencing the land surface rainfall and runoff,and a key parameter for understanding the interaction of water and energy between the earth and the atmosphere.Monitoring of this parameter is of great significance to agricultural development and water resources management.As the main means for large-scale monitoring of soil moisture,the remote sensing inversion has received much attention in many studies in terms of method and accuracy.Among them,the research of optical remote sensing inversion on soil moisture lasts the longest,and many inversion methods have been developed currently.In order to sort out these inversion methods,this paper summarizes the commonly used remote sensing data for optical inversion on soil moisture at first,then classifies the inversion methods into reflectivity method,index method and thermal inertia method according to the different objects that correlates with soil moisture in the method and explains their principles,advantages,disadvantages and research progress,and finally discusses the main problems faced by the current optical remote sensing inversion methods as follow:The inversion methods are seriously affected by cloud and fog weather.The effective depth of soil moisture obtained by the inversion method is limited.The inversion methods take insufficient account of land surface heterogeneity.…”
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Exploring the climate-environment-health nexus: Insights for informed action by Harvey V. Fineberg

“…Climate change, as a pervasive force, impacts human health directly, for instance through extreme weather events, and indirectly through phenomena like air pollution from wildfires, and alterations to ecosystem services. …”
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Hyperchaos in a Conservative System with Nonhyperbolic Fixed Points by Aiguo Wu, Shijian Cang, Ruiye Zhang, Zenghui Wang, Zengqiang Chen

“…Chaotic dynamics exists in many natural systems, such as weather and climate, and there are many applications in different disciplines. …”
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Spatiotemporal Variation of Frost within Growing Periods by Mokhele Edmond Moeletsi, Mphethe Isaac Tongwane

“…The data used in the investigation was daily minimum temperature obtained from 55 weather stations located in and around the Free State Province with data from 1950 to 2010. …”
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Investigation of the Efficiency of Photovoltaic Thermal (PV/T) Hybrid Collector as Solution for Water Desalination Needs of Rural Areas in Niger by Mariama Alı Garba, Bulent YESILATA

“…The efficiency of SS (single slope) solar still integrated with a Photovoltaic-thermal collector (PVT) is investigated underneath Niamey’s climatic weather conditions. Thus, a theoretical study is conducted, and MATLAB software is used to simulate the equations and data of climatic conditions in Niamey. …”
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Assessment of hydromorphological conditions of the river using the MQI method (Case study area: JAJROOD River) by Maryam Ilanloo, Amir Karam

“…The JAJROOD and LATYAN-dam areas in the north east of Tehran due to the pleasant weather have always been and are in Eco tourists and nature interested people noteworthy. …”
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Decoding methane concentration in Alberta oil sands: A machine learning exploration by Liubov Sysoeva, Ilhem Bouderbala, Miles H. Kent, Esha Saha, B.A. Zambrano-Luna, Russell Milne, Hao Wang

“…Interpretable machine learning techniques, coupled with existing data from weather monitoring stations, offer a cost-effective alternative approach for modeling and understanding methane emissions sources. …”
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Composite Study of Relationships Between the Characteristics of Atlantic Cold Tongue: Onset, Duration, and Maximum Extent by Dianikoura Ibrahim Koné, Adama Diawara, Benjamin Komenan Kouassi, Fidele Yoroba, Kouakou Kouadio, Assi Louis Martial Yapo, Touré Dro Tiemoko, Mamadou Diarrassouba, Foungnigué Silué, Arona Diedhioune

“…This study analyzes the relationships between the onset, the duration, and the maximum extent of the Atlantic Cold Tongue (ACT) using ERA5 reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF) over the period 1979–2019. …”
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Assessment of a youth climate empowerment program: Climate READY by R. L. Wellman, A. Henderson, R. Coleman, C. Hill, B. T. Davey

“…Most student participants (<span class="inline-formula">∼80</span> %) were from Title 1 high schools in low socio-economic communities vulnerable to extreme weather and environmental hazards in Palm Beach County, Florida (see definition in Appendix A). …”
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WINTER CYCLING IN VERY COLD CLIMATE – A CASE STUDY IN CALGARY by Farnaz SADEGHPOUR, Shabtai ISAAC, Mona AMIRI

“…Instead, the majority of cyclists mentioned road surface conditions, rather than the weather itself, to be the major deterrent to winter cycling. …”
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Analysis of Spatiotemporal Dynamic Characteristics on Potential Evapotranspiration and Water Budget in Hebei Province by ZHENG Defeng, ZHAN Shiyao, CAO Yongqiang

“…The spatiotemporal dynamic characteristics of regional potential evapotranspiration can lay a theoretical foundation for regional rational crop planting and scientific agricultural irrigation.In the context of global warming and increasing evapotranspiration rates,the Penman-Monteith equation is used to calculate the potential evapotranspiration (ET₀) and water budget (K) of Hebei Province from1967 to 2019 according to the actual meteorological observation data of twelve weather stations in Hebei Province,and the characteristics of their spatiotemporal dynamic variations are analyzed.On this basis,the analysis method of the Morlet wavelet function is introduced for the cycle analysis of ET₀ and K in 53 years.The results show that ET₀ has obvious zonal characteristics,and it is generally on the rise while K is on the decline during this period.Moreover,the evapotranspiration variations vary with seasons:ET₀ shows an upward trend in spring,autumn,and winter but a downward trend in summer.The cycle of K has the most significant oscillation at 35 a,and the scope of the oscillation is prominent in summer and autumn.Therefore,obvious changes in seasonal characteristics of Hebei Province have a great impact on K.The results can provide a reliable theoretical basis for agricultural water-saving and planting structure adjustment in Hebei Province.…”
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Deep Learning-Enabled Automatic Detection of Bridges for Promoting Transportation Surveillance under Different Imaging Conditions by Peng Han, Xiaoxia Yang

“…However, the visual quality of observed images is often inevitably reduced owing to the adverse weather conditions, e.g., haze and low lightness. …”
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Database for a temperature model along urban Dâmbovița River by Gogoașe Nistoran Daniela-Elena, Ionescu Cristina Sorana, Opriș Ioana, Simionescu Ștefan-Mugur, Copilău Cristian

“…To this end, in the summers of 2020, 2021 and 2023 were acquired using multiple data of hydraulic and climate variables using temperature loggers equipped with bluetooth technology and remote sensing climate data retrieved from Open Weather. An hourly database including all the available hourly parameters of air and water for these periods, was created to be used in the development of a hydro-thermal model along Dâmbovița River.…”
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Low-Temperature Performance and Evaluation Index of Gussasphalt for Steel Bridge Decks by Hongyu Ye, Xuancang Wang, Naren Fang, Ziyuan Su

“…Finally, taking the strain energy density as the main control index and considering the fluidity, the high-temperature performance, fatigue characteristics, technical requirements for storage, and mixing time of gussasphalt in cold weather after two mixing procedures are discussed.…”
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Intelligent Control of a Photovoltaic Generator for Charging and Discharging Battery Using Adaptive Neuro-Fuzzy Inference System by El Hadji Mbaye Ndiaye, Alphousseyni Ndiaye, Mactar Faye, Samba Gueye

“…The simulation results under MATLAB/Simulink show that the method proposed in this work allows the PV system to function normally by charging and discharging the battery whatever the weather conditions.…”
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Integrating Indigenous Knowledge into Sustainable Forest Management for Climate Change Adaptation and Mitigation Strategies by Mokhamad Asyief Khasan Budiman, Hiroki Oue

“… Frequent natural disasters and extreme weather increase the vulnerability to climate change in rural communities living near forests. …”
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