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Assessment of space weather modeling capabilities and transition to operations

  • Maria M. Kuznetsova
  • , Martin A. Reiss
  • , Edmund Henley
  • , Eric Adamson
  • , Suzy Bingham
  • , Mario M. Bisi
  • , François Xavier Bocquet
  • , Laura Boucheron
  • , Min Yang Chou
  • , Claudio Corti
  • , Gian Luca Delzanno
  • , Richard A. Fallows
  • , Biagio Forte
  • , Alexi Glover
  • , Alexa Halford
  • , Carl J. Henney
  • , K. D. Leka
  • , M. Leila Mays
  • , Mark Miesch
  • , Karin Muglach
  • Mathew Owens, Nikolai Pogorelov, Lutz Rastätter, Michelangelo Romano, Pete Riley, Christine Verbeke, Jack Wang, Kathryn Whitman, Jia Yue, Yihua Zheng, Charles N. Arge, Sean Bruinsma, Federico Da Dalt, Katherine Garcia-Sage, Joycelyn Jones, Maya Levisohn, Judit Palacios, Tuija Pulkkinen, Aaron Ridley, Liutauras Rusaitis, Evangelia Samara, Ioanna Tsagouri, Jonathan Vigh, Robert Weigel, Chiu Wiegand, Clayton Allison, Ricky Egeland, Dinesha V. Hegde, Michael Kirk, Adam Kubaryk, Dibyendu Nandi, Teresa Nieves-Chinchilla, Philip Quinn, Syed Raza, Elana Resnick, Talwinder Singh, Luke Stegeman
  • NASA Goddard Space Flight Center
  • Universities Space Research Association
  • Met Office
  • National Oceanic and Atmospheric Administration
  • Rutherford Appleton Laboratory
  • New Mexico State University College of Engineering
  • Catholic University of America
  • University of Hawai'i at Mānoa
  • Los Alamos National Laboratory
  • University of Bath, Department of Electronic & Electrical Engineering
  • European Space Operation Centre
  • Air Force Research Laboratory
  • NorthWest Research Associates, Inc.
  • Cooperative Institute for Research in Environmental Sciences
  • University of Reading
  • University of Alabama in Huntsville
  • Predictive Science Inc
  • KU Leuven
  • University of Houston
  • KBR, Inc
  • Centre National d’Etudes Spatiales
  • Starion Deutschland GmbH for European Space Agency
  • Telophase Corp.
  • University of Michigan
  • National Observatory of Athens
  • National Center for Atmospheric Research
  • George Mason University
  • Leidos Inc
  • NASA Johnson Space Center
  • Indian Institute of Science Education and Research
  • ASRC Federal
  • Georgia State University
  • Kansas State University

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Space environment models are imperative tools for space weather research and operational forecasting. Two major targets in the space weather enterprise are to advance predictive modeling capabilities and to promptly transition new models to space weather operations. Model assessments are essential to build credibility for potential users, while the approach to model validation depends on user priorities. Precise, transparent and up-to-date evaluations of strengths and limitations of space weather models provide vital guidance toward the progress in understanding of space environment phenomena. It also demonstrates potential of new models to improve state-of-the-art operational space weather forecasting. Therefore, a space weather capabilities assessment is one of the Overarching Activities of the COSPAR International Space Weather Action Teams (ISWAT) initiative. ISWAT Action Teams associated with ISWAT domain-focused (S – Space weather origins at the Sun, H − Heliosphere variability, G − coupled Geospace System, plus the newly established cross-domain Sun-to-Geospace − S2G) Clusters, provide pivotal progress in Assessment Overarching Activity. The ISWAT community-wide validation projects include both Modeling Challenges for historic time periods and pre-event real-time ensemble predictions. At the same time, operational space weather forecasting centers perform pre-operational and operational real-time continuous model validations and provide feedback to developers. This Roadmap paper presents a comprehensive overview of successes and lessons learned from validation projects and the transition to operations activities since the previous Space Weather Roadmap (Schrijver et al., 2015) and outlines recommendations for moving forward.

Original languageEnglish
JournalAdvances in Space Research
DOIs
StateAccepted/In press - 2026
Externally publishedYes

Keywords

  • Forecasting
  • Metrics
  • Models
  • Space weather
  • Uncertainty
  • Validation

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