A spatiotemporal optimization engine for prescribed burning in the Southeast US by Reetam Majumder, Adam J. Terando, J. Kevin Hiers, Jaime A. Collazo, Brian J. Reich

“…By mining historical 3-day numerical weather forecasts and observation-based weather data for 2015–2021, we have developed a Bayesian hierarchical model for forecast verification that provides calibrated daily weather forecasts and joint uncertainty estimates on meteorological variables of interest, with the latter serving as a measure of risk associated with prescribed fire activities. …”
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Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal by Erica Shrestha, Suyog Poudyal, Anup Ghimire, Shrena Maharjan, Manoj Lamichhane, Sushant Mehan

“…The widely accepted Penman-Monteith (FAO-56PM) model is commonly used for ET0 estimation but relies on numerous weather variables that are often unavailable in developing countries like Nepal. …”
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Regional climatic changes and their impact on the level of avalanche hazard in East Kazakhstan by Olga Petrova, Natalya Denissova, Gulzhan Daumova, Yelena Ivashchenko, Evgeny Sergazinov

“…At the same time, the situation is complicated by not always predictable weather events, the frequency of which is increasing every year. …”
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Practice and Research of Floating Offshore Photovoltaic Intelligent Climate Early Warning Platform by Chengsheng ZHOU, Shidong FANG

“…Secondly, the intelligent monitoring system monitored ocean weather conditions in real-time and gave early warnings to improve the reliability of photovoltaic power generation. …”
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Large-scale acceleration algorithms for a deep convective physical parameterization scheme on GPU. by Yongfei Wang, Junping Wang, Jiarui Tian, Lin Li, Fangping Ma, Fang Peng, Hu Ke

“…Early warning of geological hazards requires monitoring extreme weather conditions, such as heavy rainfall. Atmospheric circulation models are used for weather forecasting and climate simulation. …”
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Improving Wind Speed Forecasting for Urban Air Mobility Using Coupled Simulations by Mounir Chrit, Marwa Majdi

“…Hazardous weather, turbulence, wind, and thermals pose a ubiquitous challenge to Unmanned Aircraft Systems (UAS) and electric-Vertical Take-Off and Landing (e-VTOL) aircrafts, and the safe integration of UAS into urban area requires accurate high-granularity wind data especially during landing and takeoff phases. …”
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Radio Detection of UHE Cosmic Rays and Neutrinos off the Moon with Two 30 m Telescopes by Linjie Chen, Jianli Zhang, Lihong Geng, Lingmei Cheng

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Hourly Forecasting of Solar Photovoltaic Power in Pakistan Using Recurrent Neural Networks by Sohrab Khan, Faheemullah Shaikh, Mokhi Maan Siddiqui, Tanweer Hussain, Laveet Kumar, Afroza Nahar

“…Furthermore, the bidirectional long-short-term memory RNN framework delivered high accuracy results in all weather conditions, especially under cloudy weather conditions where root mean square error (RMSE) was found lowest 0.0025, R square stands at 0.99, and coefficient of variation of root mean square error (RMSE) Cv was observed 0.0095%.…”
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Rice Price Prediction with Long Short-Term Memory (LSTM) Neural Network by Rahmat Hidayat, Irawan Wibisonya

“…In this study, LSTM was used to examine the relationship between weather variability, crop yields, and land area with rice prices. …”
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A Ship Domain-Based Method of Determining Action Distances for Evasive Manoeuvres in Stand-On Situations by Rafal Szlapczynski, Przemyslaw Krata, Joanna Szlapczynska

“…Additionally, stability-related phenomena and their impact on possible manoeuvres in heavy weather are taken into account. The method and applied models are illustrated in a series of simulation results. …”
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Impact of global warming in Latin America. There is much to do! by Ghiuliana Godo Vitate, Melissa Hernandez-Acapana, Brayan Flores Arandia, José Vela Ruíz, Ricardo Lama Morales

“…In Latin America, climate change presents various challenges for health systems due to extreme weather events, vector-borne diseases and changes in the availability of food and water. …”
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Fractional Theoretical Model for Gravity Waves and Squall Line in Complex Atmospheric Motion by Liguo Chen, Liangui Yang

“…The evolution of nonlinear gravity solitary waves in the atmosphere is related to the formation of severe weather. The nonlinear concentration of gravity solitary wave leads to energy accumulation, which further forms the disastrous weather phenomenon such as squall line. …”
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Seasonal and Regional Variability of Long-Wave Effective Radiation in China and Associated Modulating Factors by Qianrong Ma, Jie Zhang, Yu Gu, Yujun Ma, Yu Cao

“…There is a consistent downward trend in annual and seasonal variations of LER under different weather conditions in China especially after 2007. …”
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Advancing Horticultural Crop Loss Reduction Through Robotic and AI Technologies: Innovations, Applications, and Practical Implications by H. W. Gammanpila, M. A. Nethmini Sashika, S. V. G. N. Priyadarshani

“…Horticulture, a critical component of agriculture, encounters various challenges, including crop loss stemming from factors like pests, diseases, adverse weather conditions, and inefficient farming practices. …”
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Assimilation of MWHS-2/FY-3C 183 GHz Channels Using a Dynamic Emissivity Retrieval and Its Impacts on Precipitation Forecasts: A Southwest Vortex Case by Keyi Chen, Jiao Fan, Zhipeng Xian

“…In this paper, a typical precipitating case generated by the Southwest Vortex is selected and the Weather Research and Forecasting data assimilation (WRFDA) system is applied to examine the impacts of assimilating MWHS-2/FY-3C with the uses of the emissivity atlas and the dynamic emissivity on the forecasts. …”
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Analysis of Injury Severity of Drivers Involved Different Types of Two-Vehicle Crashes Using Random-Parameters Logit Models with Heterogeneity in Means and Variances by Qiang Wu, Dongdong Song, Chenzhu Wang, Fei Chen, Jianchuan Cheng, Said M. Easa, Yitao Yang, Wenchen Yang

“…The driver’s age and gender, speeding, sideswipes, presence of junctions, weekdays, unlit, and weather conditions significantly impact driver-injury severities in various types of vehicle crashes. …”
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An Empirical Assessment of Factors Influencing Injury Severities of Motor Vehicle Crashes on National Highways of Pakistan by Hanif Ullah, Asim Farooq, Akhtar Ali Shah

“…From the results, it was revealed that many factors such as overspeeding, driver dozing, driver carelessness, driver age <25 years, truck, rickshaw, single vehicle, horizontal curve, potholes, night without road lights, AM peak, Tuesday, weekdays, May, July, November, cloudy weather, clear weather, normal visibility, and wet road surface affect injury severity of the crash victims. …”
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Simulation of rainfall temporal distribution pattern using WRF Model (case study of Parsian dam basin) by Elaheh Ghasemi Karakani, Ebrahim Fattahi, Loabat Salehi Pak, Hooshang Ghaemi

“…The result of WRF numerical weather prediction model for these great storms compared with data loggers. …”
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Evaluation of the Rutting Performance of the Field Specimen Using the Hamburg Wheel-Tracking Test and Dynamic Modulus Test by Xiongwei Dai, Yanshun Jia, Shaoquan Wang, Ying Gao

“…Rutting is a major distress occurring in the service life of the asphalt pavement, especially in hot weather areas. A laboratory-produced specimen is widely used for rutting performance evaluation which may not be completely represented by the field situation. …”
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Temperature Regulation of Photovoltaic Module Using Phase Change Material: A Numerical Analysis and Experimental Investigation by Hasan Mahamudul, Md. Momtazur Rahman, H. S. C. Metselaar, Saad Mekhilef, S. A. Shezan, Rana Sohel, Sayuti Bin Abu Karim, Wan Nur Izzati Badiuzaman

“…Experiment as well as investigation has been carried out considering typical Malaysian weather. Obtained result has been validated by using experimental prototype and comparative analysis.…”
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