Impacts of Microphysics Schemes and Topography on the Prediction of the Heavy Rainfall in Western Myanmar Associated with Tropical Cyclone ROANU (2016) by Khin Win Maw, Jinzhong Min

“…The impacts of different microphysics and boundary schemes and terrain settings on the heavy rainfall over western Myanmar associated with the tropical cyclone (TC) ROANU (2016) are investigated using the Weather Research and Forecasting (WRF) model. The results show that the microphysics scheme of Purdue Lin (LIN) scheme produces the strongest cyclone. …”
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A Comprehensive Review of Zavegepant as Abortive Treatment for Migraine by Nazir Noor, Alexis Angelette, Abby Lawson, Anjana Patel, Ivan Urits, Omar Viswanath, Cyrus Yazdi, Alan D. Kaye

“…Triggers include stress, light, noise, menstruation, weather, changes in sleep pattern, hunger, dehydration, dietary factors, odors, and alcohol. …”
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Developing Train Station Parking Algorithms: New Frameworks Based on Fuzzy Reinforcement Learning by Wei Li, Kai Xian, Jiateng Yin, Dewang Chen

“…However, TSP is always subject to a series of uncertain factors such as extreme weather and uncertain conditions of rail track resistances. …”
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Impact of Climate Change on Individuals with Autism and the Role of Renewable Energy by Georgiou Ioanna, Xekalakis Georgios, Parlalis Stavros

“…Individuals with autism often exhibit unique sensory sensitivities and a preference for rigid routines, which can be severely disrupted by the environmental impacts of climate change, such as extreme weather conditions. This study delves into how the environmental changes brought on by climate change affect those with autism, with a focus on sensory sensitivities and the disruption of daily routines. …”
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Study on current climate change issues and response strategies by Li Jiayu, Tao Chongshuo, Zhang Yixian

“…Global warming, primarily caused by human-induced greenhouse gas emissions, has intensified due to feedback effects. Frequent extreme weather events and significant changes in ecosystems have profoundly affected agricultural production, socio-economic systems, and human health. …”
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Batavia in Crisis: Disease Outbreaks and Public Health Responses in the 20th Century by Wisnu Rega Aditiya, Endang Susilowati, Dewi Yuliati

“…The development of the outbreak was influenced, among other by the unhealthy lifestyle of the population, the lack of knowledge regarding handling existing outbreaks, as well as climate and weather factors in the Batavia region which supported the spread of the disease. …”
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SPI-Based Spatiotemporal Drought over Sri Lanka by N. S. Abeysingha, U. R. L. N. Rajapaksha

“…Status of drought in Sri Lanka was assessed using Standardized Precipitation Index (SPI) at 3, 6, and 12 months’ time scales using monthly rainfall (1970 to 2017) data of 54 weather stations. The frequency of drought events was evaluated using SPI, and trend of SPI was also detected using the Mann–Kendall (MK) test and Sen’s slope estimator. …”
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Sun, Wind and Light (Design Strategies in Consistent Architecture with Climate) Case Study: Yazd City by alireza entezari, fatemeh mayvaneh, froogh khazaeenejad

“…Also, according to the overall radiation pattern at different hours of the day, it was also shown that 25% of the daylight hours is very high and non-comfort, and 8% are in comfort conditions, which is more related to the cold weather of the year and the early hours And the end of the day. …”
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Regional Climate Variability Responses to Future Land Surface Forcing in the Brazilian Amazon by Tao Zhang, Jinyan Zhan, Feng Wu, Jiao Luo, Juan Huang

“…The underlying land surface changes between 2005 and 2100 are first projected based on the respectable output produced by Hurtt et al. Then the weather research and forecasting (WRF) model is applied to assess the impacts of future deforestation on regional climate during 2090–2100. …”
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Aggregate global features into separable hierarchical lane detection transformer by Mengyang Li, Qi Chen, Zekun Ge, Fazhan Tao, Zhikai Wang

“…In real driving scenarios, external factors inevitably interfere with the lane detection system, such as missing lane markings, harsh weather conditions, and vehicle occlusion. To enhance the accuracy and detection speed of lane detection in complex road environments, this paper proposes an end-to-end lane detection model with a pure Transformer architecture, which exhibits excellent detection performance in complex road scenes. …”
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The Applicability of Bipartite Graph Model for Thunderstorms Forecast over Kolkata by Sutapa Chaudhuri, Anirban Middey

“…The ranges of the threshold values obtained using ten year data (1997–2006) are considered as the reference range and the result is validated with the IMD (India Meteorological Department) observation, Doppler Weather Radar (DWR) Products, and satellite images of 2007. …”
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Analysis on Photovoltaic Energy-Assisted Drying of Green Peas by Onur Taşkın, Nazmi İzli, Ali Vardar

“…The dryer has been tested in various weather and working conditions with 3 kg of green peas from 75.6% initial moisture content to 20% final moisture content (w.b.). …”
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Advancement of emerging technologies for non-destructive measurement of water and non-aqueous phase liquid saturation in porous media: A review by Kapil Kumar, Harris Ramli

“…The paper also recommends further research into different soil conditions and weather patterns to enhance these methods. A review of over 250 publications underscores the growing preference for image analysis methods, particularly SIAM, for effectively measuring NAPL and water levels across various conditions. …”
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Numerical Simulation of the Effect of Cloud Condensation Nuclei Concentration on the Microphysical Processes in Typhoon Usagi by Xiying Ye, Qimin Cao, Baolin Jiang, Wenshi Lin

“…The Weather Research and Forecasting model version 3.2.1 with the Lin microphysics scheme was used herein to simulate super typhoon Usagi, which occurred in 2013. …”
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Modeling the Impacts of Boreal Deforestation on the Near-Surface Temperature in European Russia by Zhihui Li, Xiangzheng Deng, Qingling Shi, Xinli Ke, Yingcheng Liu

“…In this study, the regional temperature variation induced by future boreal deforestation in European Russia boreal forest region was simulated based on future land cover change and the Weather Research and Forecasting (WRF) model. This study firstly tested and validated the simulation results of the WRF model. …”
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Impact of Urban Surface Roughness Length Parameterization Scheme on Urban Atmospheric Environment Simulation by Meichun Cao, Zhaohui Lin

“…In this paper, the impact of urban surface roughness length z0 parameterization scheme on the atmospheric environment simulation over Beijing has been investigated through two sets of numerical experiments using the Weather Research and Forecasting model coupled with the Urban Canopy Model. …”
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Analysis of the Global Swell and Wind Sea Energy Distribution Using WAVEWATCH III by Kaiwen Zheng, Jian Sun, Changlong Guan, Weizeng Shao

“…In this paper, the European Centre for Medium-Range Weather Forecasts (ECMWF) Era-medium wind data is used to run the WAVEWATCH III model and the global wave fields in 2010 are reproduced. …”
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A Quantum Perceptron: A New Approach for Predicting Rice Prices at the Indonesian Wholesale Trade Level by Solikhun, Tri Yunita

“…These challenges are influenced by factors such as weather, government policies, global market conditions, and other economic variables. …”
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Scalable data assimilation with message passing by Oscar Key, So Takao, Daniel Giles, Marc Peter Deisenroth

“…Data assimilation is a core component of numerical weather prediction systems. The large quantity of data processed during assimilation requires the computation to be distributed across increasingly many compute nodes; yet, existing approaches suffer from synchronization overhead in this setting. …”
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A photovoltaic power ultra short-term prediction method integrating Hungarian clustering and PSO algorithm by Ting Wang

“…In addition, the clustering ensemble model shows significant improvement compared to other models on the Calinski-Harabasz index, and effectively reduces the overlap between clusters on the Davies-Bouldin index, improving the overall quality of clustering. Under different weather conditions, the convergence accuracy and speed of the multiverse optimization support vector machine, multiverse optimization support vector machine, and particle swarm optimization variational mode decomposition algorithms each have their own advantages, but the particle swarm optimization variational mode decomposition algorithm performs better. …”
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