Intelligent methods for natural data analysis: application to space weather by O.V. Mandrikova

“…This work studies a highly relevant class of problems in this area, aimed at creating methods for space weather forecasting. The negative impact of space weather anomalies on human health and practically all modern infrastructure objects requires the development of methods and the creation of effective means of detecting anomalies. …”
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Optimizing photovoltaic power plant forecasting with dynamic neural network structure refinement by Dácil Díaz-Bello, Carlos Vargas-Salgado, Manuel Alcazar-Ortega, David Alfonso-Solar

“…Despite advances in weather forecasting, photovoltaic power prediction accuracy remains a challenge. …”
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Effective methods of rational water resource use in the agrarian sector of Kazakhstan by Yerzhan Amirbekuly, Adaskhan Daribayeva, Aigul Toxanova, Darima Zhenskhan, Nurzhamal Kurmankulova

“…Automated monitoring systems using soil moisture sensors and weather forecasting reduced water consumption by 25-50% and increased crop yields by 15-30%. …”
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Historical rainstorm in Hong Kong on 7–8 September 2023: Diagnosis, forecasting and nowcasting by Hiu Ching Tam, Yu‐Heng He, Pak Wai Chan, Shiwei Yu, Huisi Mo, Hui Su, Ling‐Feng Hsiao, Yangzhao Gong

“…While recent research of developing a regional risk‐based alerting system on the higher impact event of flooding associated with heavy rain might have potential to enhance the weather service, and emerging AI model showed some promising post‐simulations, predicting historical and record‐breaking rainstorms remains a challenge for operational weather forecasting and warning services.…”
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The Extreme-ultraviolet Precursors and Postcursors of Solar Flares by Larisza D. Krista

“…These results demonstrate the close connection between EUV signatures and flares and the significant potential EUV signatures have in improving space weather forecasting.…”
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Redefining seasons: Dynamic meteorological delineation unveils novel patterns in vegetation phenology responses to climate change by Xinyi Fan, Zhixin Hao, Yang Liu

“…This study systematically demonstrates, for the first time, the extensive influence of climate-driven seasonal changes on vegetation phenology, offering valuable insights for weather forecasting, climate zoning, and phenology management.…”
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Enhancing resilience to climate change: a comprehensive PRISMA review of agricultural and non-agricultural adaptation strategies for Ghana by Silas Uwumborge Takal, Abdul-Wahab Tahiru, IM Rizwanul Fattah, Samuel Jerry Cobbina, Wilhemina Asare, Samuel Kojo Abanyie

“…Farming in Ghana is highly vulnerable to climate change due to factors such as limited financial resources, inadequate land availability, lack of access to technology, and insufficient public infrastructure, including roads, weather forecasting systems, and extension services. Adaptation serves as a critical first line of defense, reducing the impact of climate‑induced challenges in agriculture. …”
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HARNESSING ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AGRICULTURE: A COMPREHENSIVE REVIEW OF AFRICAN APPLICATIONS IN SPATIAL ANALYSIS AND PRECISION AGRICULTURE by Obasi S.N, Tenebe V. A, Obasi C.C, Jokthan G.E, Adjei E.A, Keyagha E.R

“…Using AI to precisely monitor crops, evaluate soil health, and improve decision-making through weather forecasting are some of the main areas of focus. …”
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How Do Climate and Nonclimatic Variables Influence the Production of Agricultural Staple Crops in Vulnerable Rural Communities in the Bawku Municipality of Northern Ghana? by Rashida Ayumah, Felix Asante, Lawrence Guodaar, Gabriel Eshun

“…We conclude that to ease the burden of climate on production, better irrigation facilities be provided for the Municipality and weather forecasting information on the pending growing season be made available to farmers to enable them take informed decision. …”
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Baroclinic instability from an experimental perspective by Harlander, Uwe, Kurgansky, Michael V., Speer, Kevin, Vincze, Miklos

“…., regime transitions and the route to turbulence in the presence of rotation, or geostrophic turbulence, internal wave generation at baroclinic fronts, tests of operational weather forecasting methods, extreme value distributions with regard to climate, and more. …”
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Comparative experimental validation of microwave hyperspectral atmospheric soundings in clear-sky conditions by L. Liu, N. Bliankinshtein, Y. Huang, J. R. Gyakum, P. M. Gabriel, S. Xu, M. Wolde

“…<p>Accurate observations of atmospheric temperature and water vapor profiles are essential for weather forecasting and climate change detection. Hyperspectral radiance measurements afford a useful means to retrieve these thermodynamic variable fields by harnessing the rich information contained in the electromagnetic wave spectrum of the atmospheric radiation. …”
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A High-Precision Real-Time PWV Grid Model for the China Region and Its Preliminary Performance in WRF Assimilation by Pengfei Xia, Biyan Chen, Ning Huang, Xin Xie, Qinglan Zhang

“…The developed model provides valuable insights into atmospheric moisture variations and enhances the accuracy of weather forecasting and climate research in the China region.…”
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Bridging the gap: rescuing and digitizing historical meteorological records by Kofi Asare, Nana Ama Browne Klutse, Stephen Aboagye-Ntow, Caroline Edinam Doe, Antwi-Boasiako Amoah, Eric Asuman, Martin Addi, Benjamin Adjetey Wemegah

“…These measures are essential for improving the robustness and reliability of meteorological data collection in Ghana, which is critical for accurate weather forecasting, climate monitoring, and informed decision-making across various sectors.…”
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Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction by Suraj Kumar Bhagat, Tiyasha Tiyasha, Zainab Al-khafaji, Patrick Laux, Ahmed A. Ewees, Tarik A. Rashid, Sinan Salih, Roland Yonaba, Ufuk Beyaztas, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

“…Air temperature (AT) prediction can play a significant role in studies related to climate change, radiation and heat flux estimation, and weather forecasting. This study applied and compared the outcomes of three advanced fuzzy inference models, i.e., dynamic evolving neural-fuzzy inference system (DENFIS), hybrid neural-fuzzy inference system (HyFIS), and adaptive neurofuzzy inference system (ANFIS) for AT prediction. …”
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Establishment and Evaluation of Atmospheric Water Vapor Inversion Model Without Meteorological Parameters Based on Machine Learning by Ning Liu, Yu Shen, Shuangcheng Zhang, Xuejian Zhu

“…This shows that the PWV inverted by the new model can respond well to extreme rainstorm events, which proves the feasibility and reliability of the new model and provides a reference method for meteorological monitoring and weather forecasting.…”
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Tropical cyclone intensity estimation based on YOLO-NAS using satellite images in real time by Priyanka Nandal, Prerna Mann, Navdeep Bohra, Ghadah Aldehim, Asma Abbas Hassan Elnour, Randa Allafi

“…The meteorological significance of this work lies in its ability to offer a reliable, real-time tool for cyclone intensity prediction, which could be integrated into operational weather forecasting systems. The finding shows that there is potential for practical use of this method.…”
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Synoptic and Mesoscale Atmospheric Patterns That Triggered the Natural Disasters in the Metropolitan Region of Belo Horizonte, Brazil, in January 2020 by Thaís Aparecida Cortez Pinto, Enrique Vieira Mattos, Michelle Simões Reboita, Diego Oliveira de Souza, Paula S. S. Oda, Fabrina Bolzan Martins, Thiago Souza Biscaro, Glauber Willian de Souza Ferreira

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Diagnosis and Numerical Simulation of Low-level Wind Shear over the Hengduan Mountains in Winter by Ren Juzhang, Yang Xue, Tao Yun, Fu Zhijia, Chen Yan, Zhong Yahan, Wang Man, Jin Yan

“…It is also a key problem in refined weather forecasting and early warning under complex terrain. …”
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Distinctive dust weather intensities in North China resulted from two types of atmospheric circulation anomalies by Q. Huo, Q. Huo, Z. Yin, Z. Yin, Z. Yin, X. Ma, X. Ma, H. Wang, H. Wang, H. Wang

“…These findings contribute to enhancing the comprehension of dust weather in NC and offer insights for both dust weather forecasting and climate prediction.</p>…”
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Evaluation of CORDEX ERA5-forced NARCliM2.0 regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2 by G. Di Virgilio, G. Di Virgilio, F. Ji, F. Ji, E. Tam, J. P. Evans, J. P. Evans, J. Kala, J. Andrys, C. Thomas, D. Choudhury, C. Rocha, Y. Li, M. L. Riley

“…This is the first evaluation of the NARCliM2.0 ensemble of seven Weather Forecasting and Research RCMs driven by ECMWF Reanalysis v5 (ERA5) over Australia at 20 km resolution contributing to CORDEX-CMIP6 Australasia and southeastern Australia at convection-permitting resolution (4 km). …”
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