A Novel Big Data Collection System for Ship Energy Efficiency Monitoring and Analysis Based on BeiDou System by Xiangming Zeng, Mingzhi Chen

“…Using PCA, it turns out that the shaft power of the main engine is related to a certain ship speed, which is also affected by load and weather conditions, and is the biggest factor in determining fuel consumption. …”
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Suspended Particulates Concentration (PM10) under Unstable Atmospheric Conditions over Subtropical Urban Area (Qena, Egypt) by M. El-Nouby Adam

“…In addition, the effect of weather elements (air temperature, humidity and wind) on the concentration of PM10 was determined. …”
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Variation in Photovoltaic Energy Rating and Underlying Drivers Across Modules and Climates by Kevin S. Anderson, Joshua S. Stein, Marios Theristis

“…The performance of photovoltaic (PV) modules is determined by the interplay between their inherent characteristics and the prevailing weather conditions. Although the impacts of different characteristics (e.g., low-light behavior, spectral mismatch, temperature coefficient, etc) are known, they have not been quantified over large geographic regions. …”
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Drought Occurrence Pattern in Tigray Region, Northern Ethiopia by A.S. Tefera, J.O. Ayoade, N.J. Bello

“…In doing so, monthly climate data collected on selected stations, from the Dutch national weather service known as the Royal Netherlands Meteorological Institute (KNMI), was used to assess the drought trends and characterize the study area in terms of drought duration, severity, intensity, frequency, spatial extent as well as drought trend. …”
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Determining the Climate Classes and Producing GIS-Based Climate Boundary Maps of Bartın Province by Hülya Keskin Çıtıroğlu, Deniz Arca

“…Climate refers to the average of meteorological events and weather conditions observed over a long period of time for a region. …”
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Spatial Variation of Taxi Demand Using GPS Trajectories and POI Data by Xinmin Liu, Lu Sun, Qiuxia Sun, Ge Gao

“…Taxi as a door-to-door, all-weather way of travel is an important part of the urban transportation system. …”
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Modeling carbon dioxide emissions in power plants: a perspective on smart cities and low-carbon economy by Isa S. Qamber

“…CO2 emissions contribute significantly to global warming, leading to climate change and patterns of extreme weather. The data on CO2 emissions encompasses gases generated from burning fossil fuels, highlighting the importance of reducing reliance on these energy sources.…”
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A spatially explicit containment modelling approach for escaped wildfires in a Mediterranean climate using machine learning by Gbenga Lawrence Alawode, Pere Joan Gelabert, Marcos Rodrigues

“…The previous containment model in Catalonia failed to account for the crucial roles of weather conditions, lacked temporal prediction and could not forecast windows for containment opportunities, prompting this research. …”
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Impact du changement climatique sur les températures journalières minimales et maximales et les précipitations de la région de Tanger (nord-ouest du Maroc) quantifié à partir d’une... by Nabil Rifai, Abdellatif Khattabi, Laila Rhazi

“…Selected as climate variables for downscaling were measured daily maximum temperature, daily minimum temperature, and precipitation data (1961 - 2000) from the weather station of Tangier. The results show that the pattern of change and numerical values of the temperature can be simulated, with the coefficients of determination between observed and downscaled daily maximum temperature and daily minimum temperature that attain 90% and 81%, respectively. …”
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The Bushland, Texas, maize evapotranspiration, growth, and yield dataset Collection by Steven R. Evett, Gary W. Marek, Paul D. Colaizzi, Karen S. Copeland, Brice B. Ruthardt, Terry A. Howell

“…In-soil and above ground microclimate and ET data are presented on a 15-minute interval as are weather data for all days of the year. Data analysis determined ET, precipitation, irrigation, and dew and frost accumulation on a 15-minute basis from lysimeter mass data. …”
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Warped matrix-variate Gaussian processes with structured kernels for multi-step-ahead driving behaviour prediction by Seiya Takano, Tomohiko Jimbo

“…The increased integration of renewable energy, which is known to fluctuate owing to weather conditions, has necessitated power supply-demand adjustments using virtual power plants (VPPs) that utilize vehicle batteries. …”
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Multiplex genome editing for climate-resilient woody plants by Madhab Kumar Sen, Sunil Kanti Mondal, Rohit Bharati, Lucie Severova, Karel Šrédl

“…Climate change is severely impacting global forest ecosystems, stressing woody plants due to rising temperatures, shifting precipitation patterns, and extreme weather events. These pressures threaten biodiversity and disrupt the essential roles forests play in carbon sequestration, timber production, and ecosystem stability. …”
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Forecasting of Ionospheric Total Electron Content Data Using Multivariate Deep LSTM Model for Different Latitudes and Solar Activity by Nayana Shenvi, Hassanali Virani

“…The ionospheric state is becoming increasingly important to forecast for the reliable operation of terrestrial and space-based radio-communication systems which are influenced by ionospheric space weather. In this study, we have investigated and tested a multivariate long short-term memory (LSTM) deep learning model for its forecasting accuracy over different latitudinal regions during the solar quiet and solar active years. …”
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A novel wind power forecast diffusion model based on prior knowledge by Li Han, Yingjie Cheng, Shuo Chen, Shiqi Wang, Junjie Wang

“…Wind power forecast errors are related to forecast methods, weather conditions, and other factors, containing both random signals and certain regularity. …”
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Multi-hazard systems approach to overcome multi-hazard disaster in the northern coastal region of central jawa province by Muktiali Mohammad, Hadi Sudharto P., Purnaweni Hartuti

“…There are 21 types of natural disasters in the high category, such as floods, flash floods, extreme weather, extreme waves and abrasion, earthquakes, drought, several volcanic eruptions, liquefaction, tsunamis and landslides. …”
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Validity Identification and Rectification of Water Surface Fast Fourier Transform-Based Space-Time Image Velocimetry (FFT-STIV) Results by Zhen Zhang, Lin Chen, Zhang Yuan, Ling Gao

“…The proposed method was tested under various water levels, weather conditions, and lighting scenarios at the Panzhihua Hydrological Station. …”
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Prediction of Drought Risk Based on the WRF Model in Yunnan Province of China by Chunhong Zhao, Xiangzheng Deng, Yongwei Yuan, Haiming Yan, Hong Liang

“…Finally, the influencing factors of drought in Yunnan province were simulated with the Weather Research and Forecasting (WRF) model, and the risk of drought was spatially analyzed with the meteorological drought composite index. …”
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Automatic Cleaning of Time Series Data in Rural Internet of Things Ecosystems That Use Nomadic Gateways by Jerzy Dembski, Agata Kołakowska, Bogdan Wiszniewski

“…One is the intermittent collection of data from ground sensors governed by weather conditions for the UAV measurement missions. …”
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A Satisfaction Study of Waterfront Public Spaces in Winter Cities from a Demand Perspective: A KANO-IPA Model Analysis Based on Northeastern China by Ping Yu, Yu Zhang

“…However, rapid urbanization squeezes out blue and green spaces in cities, and extreme weather challenges exist in winter cities, resulting in unmet needs and a significant decline in citizens’ satisfaction. …”
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Evaluation of Cells Cracks Impact on PV Module’s Performance by Christine Abdel Nour, Julien Dupuis, Paul Lefillastre, Axel Becker

“…Cracks can occur during transportation, severe weather conditions such as hailstorms [1], poor installation practices and manufacturing [2]. …”
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