Predictive Capabilities of Corotating Interaction Regions Using STEREO and Wind In‐Situ Observations by Yutian Chi, Chenglong Shen, Christopher Scott, Mengjiao Xu, Mathew Owens, Yuming Wang, Mike Lockwood

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Multi-Scale Building Load Forecasting Without Relying on Weather Forecast Data: A Temporal Convolutional Network, Long Short-Term Memory Network, and Self-Attention Mechanism Approach by Lanqian Yang, Jinmin Guo, Huili Tian, Min Liu, Chang Huang, Yang Cai

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Solar Wind With Field Lines and Energetic Particles (SOFIE) Model: Application to Historical Solar Energetic Particle Events by Lulu Zhao, Igor Sokolov, Tamas Gombosi, David Lario, Kathryn Whitman, Zhenguang Huang, Gabor Toth, Ward Manchester, Bart van derHolst, Nishtha Sachdeva, Weihao Liu

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Prediction of Dst During Solar Minimum Using In Situ Measurements at L5 by R. L. Bailey, C. Möstl, M. A. Reiss, A. J. Weiss, U. V. Amerstorfer, T. Amerstorfer, J. Hinterreiter, W. Magnes, R. Leonhardt

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Prediction of Dynamic Plasmapause Location Using a Neural Network by Deyu Guo, Song Fu, Zheng Xiang, Binbin Ni, Yingjie Guo, Minghang Feng, Jianguang Guo, Zejun Hu, Xudong Gu, Jianan Zhu, Xing Cao, Qi Wang

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Space Weather Environment During the SpaceX Starlink Satellite Loss in February 2022 by Tzu‐Wei Fang, Adam Kubaryk, David Goldstein, Zhuxiao Li, Tim Fuller‐Rowell, George Millward, Howard J. Singer, Robert Steenburgh, Solomon Westerman, Erik Babcock

Subjects: “…space weather forecast…”
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Utilization of a Lightweight 3D U-Net Model for Reducing Execution Time of Numerical Weather Prediction Models by Hyesung Park, Sungwook Chung

Subjects: “…weather forecast…”
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Forecasting Weather using Deep Learning from the Meteorological Stations Data : A Study of Different Meteorological Stations in Kaski District, Nepal by Supath Dhital, Kapil Lamsal, Sulav Shrestha, Umesh Bhurtyal

Subjects: “…weather forecast…”
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Machine Learning‐Based Emulator for the Physics‐Based Simulation of Auroral Current System by Ryuho Kataoka, Aoi Nakamizo, Shinya Nakano, Shigeru Fujita

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Refined Modeling of Geoeffective Fast Halo CMEs During Solar Cycle 24 by E. Yordanova, M. Temmer, M. Dumbović, C. Scolini, E. Paouris, A. L. E. Werner, A. P. Dimmock, L. Sorriso‐Valvo

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Space Weather Monitor at the L5 Point: A Case Study of a CME Observed with STEREO B by L. Rodriguez, C. Scolini, M. Mierla, A. N. Zhukov, M. J. West

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Employing the Coupled EUHFORIA‐OpenGGCM Model to Predict CME Geoeffectiveness by Anwesha Maharana, W. Douglas Cramer, Evangelia Samara, Camilla Scolini, Joachim Raeder, Stefaan Poedts

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Estimating and forecasting daily reference crop evapotranspiration in China with temperature-driven deep learning modelsMendeley Data by Jia Zhang, Yimin Ding, Lei Zhu, Yukuai Wan, Mingtang Chai, Pengpeng Ding

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Quantifying the Effect of ICME Removal and Observation Age for in Situ Solar Wind Data Assimilation by Harriet Turner, Mathew Owens, Matthew Lang, Siegfried Gonzi, Pete Riley

“…Abstract Accurate space weather forecasting requires advanced knowledge of the solar wind conditions in near‐Earth space. …”
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Weather identification using models based on deep learning by Afroza Nahar, Rifat Al Mamun Rudro, Bakhtiar Atiq Faisal, Md. Faruk Abdullah Al Sohan, Laveet Kumar

“…Researchers are working on precise weather forecasting to improve our preparedness, enabling fast response to any disaster. …”
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Hybrid Models for Weather Parameter Forecasting by Rashmi Bhardwaj, Varsha Duhoon

“…The study becomes significant as weather forecasting with accuracy is a complex task along with the reduction of prediction error by the application of different models and schemes. …”
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Sensitivity Study of WRF Parameterization Schemes and Initial Fields on Rainstorm Simulation in Minjiang River Basin by LIN Sinuo, ZHANG Yinchi, SUN Shao, GUAN Xiaojun, JIANG Caiying, GAO Lu

“…As one of the most dominant weather forecasting tools,numerical models have been widely employed for early warning and prediction of strong weather processes such as extreme rainfalls.In practical forecasting operations,numerical models are affected by initial fields,boundary conditions,and parameterization schemes,which makes it difficult to conduct long-time accurate forecasts.Based on the new-generation mesoscale numerical weather forecasting model,i.e.…”
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A Parametric Study of Performance of Two Solar Wind Velocity Forecasting Models During 2006–2011 by Sandeep Kumar, Nandita Srivastava

“…Abstract There is an increasing need for the development of a robust space weather forecasting framework. State‐of‐the‐art MHD space weather forecasting frameworks are based upon the Potential Field Source Surface (PFSS) and Schatten Current Sheet (SCS) extrapolation models for the magnetic field using synoptic magnetograms. …”
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Identifying Coronal Mass Ejection Active Region Sources: An Automated Approach by Julio Hernandez Camero, Lucie M. Green, Alex Piñel Neparidze

“…The resulting catalog of CME–source region associations is made publicly available, offering a valuable resource for statistical studies and machine learning applications in solar physics and space weather forecasting.…”
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Machine Learning for Predicting the Bz Magnetic Field Component From Upstream in Situ Observations of Solar Coronal Mass Ejections by M. A. Reiss, C. Möstl, R. L. Bailey, H. T. Rüdisser, U. V. Amerstorfer, T. Amerstorfer, A. J. Weiss, J. Hinterreiter, A. Windisch

“…Transitioning the tool to operations could lead to improved space weather forecasting.…”
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