The Use of Ensembles in Space Weather Forecasting by J. A. Guerra, S. A. Murray, E. Doornbos

“…The aim of this workshop was to bring together space weather scientists from academic institutions and operational centers and experts in ensemble techniques in terrestrial weather forecasting. Ensembles are currently used across all the subfields of space weather; however, there seems to be no community‐wide consensus about how to best utilize them. …”
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Weather forecast for simulation models of agroecosystem production by Eugenija Žiniauskaitė, Vitalijus Denisovas

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Machine Learning Methods for Weather Forecasting: A Survey by Huijun Zhang, Yaxin Liu, Chongyu Zhang, Ningyun Li

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Verification of a Real Time Weather Forecasting System in Southern Italy by Luca Tiriolo, Rosa Claudia Torcasio, Stefania Montesanti, Stefano Federico

“…The model is initialized from the 12 UTC operational analysis/forecasting cycle of the European Centre for Medium range Weather Forecasts (ECMWF). The forecast is issued for the following three days. …”
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Downscaling Global Weather Forecast Outputs Using ANN for Flood Prediction by Nam Do Hoai, Keiko Udo, Akira Mano

“…Downscaling global weather prediction model outputs to individual locations or local scales is a common practice for operational weather forecast in order to correct the model outputs at subgrid scales. …”
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Patterns and Variation in the Weather Forecast: Can Prosodic Features be Predicted Too? by Susan Moore Mauroux

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Conductance Model for Extreme Events: Impact of Auroral Conductance on Space Weather Forecasts by Agnit Mukhopadhyay, Daniel T. Welling, Michael W. Liemohn, Aaron J. Ridley, Shibaji Chakraborty, Brian J. Anderson

“…The performance analysis indicates overall improvement in the ionospheric feedback to ground‐based space weather forecasts. Specifically, the model is able to improve the prediction of ionospheric currents, which impact the simulated dB/dt and ΔB, resulting in substantial improvements in dB/dt predictive skill.…”
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Spatial-Temporal Fusion Graph Neural Networks With Mixed Adjacency for Weather Forecasting by Ang Guo, Yanghe Liu, Shiyu Shao, Xiaowei Shi, Zhenni Feng

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No more flying blind: Leveraging weather forecasting for clear-cut risk-based decisions by Manuel Lombardi, David Sladek, Francesco Simone, Riccardo Patriarca

“…Having detailed weather forecasts within operational areas can help avoid unwanted outcomes while assuring safe operations and mission success. …”
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Space Weather Forecasts of Ground Level Space Weather in the UK: Evaluating Performance and Limitations by A. W. Smith, I. J. Rae, C. Forsyth, J. C. Coxon, M.‐T. Walach, C. J. Lao, D. S. Bloomfield, S. A. Reddy, M. K. Coughlan, A. Keesee, S. Bentley

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R2O2R Improvements Identified by United States Space Weather Forecasters by E. C. Butler, J. M. Keller

“…To provide this communication space, we surveyed a group of US civilian space weather forecasters on their needed improvements, use of available resources, and interactions with researchers, via a combination of questionnaire and focus group discussions. …”
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Exploring the typhoon intensity forecasting through integrating AI weather forecasting with regional numerical weather model by Hongxiong Xu, Yang Zhao, Zhao Dajun, Yihong Duan, Xiangde Xu

“…Abstract Recent advancements in artificial intelligence (AI) have notably enhanced global weather forecasting, yet accurately predicting typhoon intensity remains challenging. …”
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CMEs and SEPs During November–December 2020: A Challenge for Real‐Time Space Weather Forecasting by Erika Palmerio, Christina O. Lee, M. Leila Mays, Janet G. Luhmann, David Lario, Beatriz Sánchez‐Cano, Ian G. Richardson, Rami Vainio, Michael L. Stevens, Christina M. S. Cohen, Konrad Steinvall, Christian Möstl, Andreas J. Weiss, Teresa Nieves‐Chinchilla, Yan Li, Davin E. Larson, Daniel Heyner, Stuart D. Bale, Antoinette B. Galvin, Mats Holmström, Yuri V. Khotyaintsev, Milan Maksimovic, Igor G. Mitrofanov

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On the use of kolmogorov–arnold networks for adapting wind numerical weather forecasts with explainability and interpretability: application to madeira international airport by Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias

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Medium‐Range Forecasting of Solar Wind: A Case Study of Building Regression Model With Space Weather Forecast Testbed (SWFT) by Chunming Wang, I. Gary Rosen, Bruce T. Tsurutani, Olga P. Verkhoglyadova, Xing Meng, Anthony J. Mannucci

“…Abstract The Space Weather Forecast Testbed (SWFT) is developed by a team of space weather scientists and mathematicians at the University of Southern California (USC) and Jet Propulsion Laboratory (JPL) to foster the creation of models for space weather forecast by exploration of existing historic data using techniques of machine learning. …”
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Uncertainty Quantification for Machine Learning‐Based Ionosphere and Space Weather Forecasting: Ensemble, Bayesian Neural Network, and Quantile Gradient Boosting by Randa Natras, Benedikt Soja, Michael Schmidt

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Short- to Medium-Term Weather Forecast Skill of the AI-Based Pangu-Weather Model Using Automatic Weather Stations in China by Siyi Xu, Yize Zhang, Junping Chen, Yunlong Zhang

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Solar Wind Data Assimilation in an Operational Context: Use of Near‐Real‐Time Data and the Forecast Value of an L5 Monitor by Harriet Turner, Matthew Lang, Mathew Owens, Andy Smith, Pete Riley, Mike Marsh, Siegfried Gonzi

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The Influence of Spacecraft Latitudinal Offset on the Accuracy of Corotation Forecasts by Harriet Turner, Mathew J. Owens, Matthew S. Lang, Siegfried Gonzi

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Local-Scale Weather Forecasts over a Complex Terrain in an Early Warning Framework: Performance Analysis for the Val d’Agri (Southern Italy) Case Study by Giuseppe Giunta, Alessandro Ceppi, Raffaele Salerno

“…The present study concerns the performance of a weather forecast model in the framework of an early warning system (EWS) application, which supports the integrity management of oil and gas pipelines. …”
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