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Recommendations for Advancing Heliophysics and Space Weather Modeling Through Open Science

  • M. A. Reiss
  • , M. M. Kuznetsova
  • , C. Corti
  • , J. Yue
  • , J. Karpen
  • , C. N. Arge
  • , F. Bacchini
  • , C. Bard
  • , S. Bruinsma
  • , R. M. Caplan
  • , L. K.S. Daldorff
  • , P. J. Deka
  • , C. R. DeVore
  • , S. Elvidge
  • , N. Ganushkina
  • , J. D. Huba
  • , B. V. Jackson
  • , V. Jordanova
  • , J. A. Linker
  • , H. Liu
  • J. G. Luhmann, S. Markidis, P. Mayank, V. Merkin, N. Moens, D. Odstrcil, Y. A. Omelchenko, M. Palmroth, S. Poedts, A. J. Ridley, Y. Shou, V. Tenishev, D. R. Themens, G. Toth, W. Wang, R. P. Wilhelm, M. A. Young, B. Cecconi, M. Y. Chou, D. De Zeeuw, G. L. Delzanno, C. Didigu, M. El Alaoui, S. Fung, J. Green, Z. Huang, L. K. Jian, L. J. Landwer, M. Lesko, P. J. MacNeice, A. Masson, M. L. Mays, P. M. Mehta, M. S. Miesch, E. Palmerio, M. Petrenko, E. Provornikova, L. Rastätter, L. Rusaitis, N. Sachdeva, E. Samara, D. Sur, A. Taktakishvili, J. Topper, T. Tsui, C. Verbeke, J. Wang, C. Wiegand, M. Wiltberger, Y. Zheng, M. M. Bisi, M. K. Georgoulis, T. Kodikara, T. Pulkkinen, A. Chartier, D. da Silva, A. Faturahman, K. Garcia-Sage, D. Kondrashov, V. E. Ledvina, W. Liu, C. Pandey, E. Resnick, C. Shi, R. S. Weigel, K. Whitman, I. Zakharenkova, K. Zhang
  • NASA Goddard Space Flight Center
  • Universities Space Research Association
  • University of Hawai'i at Mānoa
  • Catholic University of America
  • KU Leuven
  • Centre national d'études spatiales
  • Predictive Science Inc
  • University of Birmingham
  • University of Michigan
  • Finnish Meteorological Institute
  • Syntek Technologies
  • University of California at San Diego
  • Los Alamos National Laboratory
  • University Corporation of Atmospheric Research
  • University of California at Berkeley
  • KTH Royal Institute of Technology
  • Johns Hopkins University Applied Physics Laboratory
  • George Mason University
  • Space Science Institute
  • University of Helsinki
  • Maria Curie-Skłodowska University in Lublin
  • NASA Marshall Space Flight Center
  • University of New Hampshire
  • Observatoire de Paris
  • Space Hazards Applications LLC
  • University of Science and Technology of China
  • University of Colorado Boulder
  • National Oceanic and Atmospheric Administration
  • European Space Astronomy Centre
  • West Virginia University
  • Rutherford Appleton Laboratory
  • Academy of Athens
  • German Aerospace Center
  • National Research and Innovation Agency Republic of Indonesia
  • University of California at Los Angeles
  • University of Alaska Fairbanks
  • Texas Christian University
  • Auburn University
  • KBR, Inc
  • NASA Johnson Space Center
  • Embry-Riddle Aeronautical University

Research output: Contribution to journalComment/debate

1 Scopus citations

Abstract

Numerical models are essential for advancing fundamental research in heliophysics and for operational forecasting of space weather events. Open science can accelerate progress, but applying an open science approach to numerical models requires careful consideration; models are not data analysis software and often demand substantial domain expertise, experience, and computational resources to be used correctly. This commentary distills the recommendations from Corti et al. (2026), https://doi.org/10.22541/essoar.176824639.92354528/v2 and proposes a pathway for advancing heliophysics and space weather modeling through open science. Rather than focusing on open science policies and practices, we recommend concrete actions to make models usable by the broader community (open use), increase confidence and transparency throughout the Research-to-Operations-to-Research (R2O2R) pipeline (open validation), enable collaborative model improvement (open development), and strengthen partnerships (open collaboration). Together, these recommendations address several of the open science challenges experienced by contributing authors in developing, validating, using, and hosting advanced models, as identified during the 2024 Open Science Workshop held at College Park, USA. The recommendations also highlight the importance of a culture of shared responsibility, adherence to best practices, and proper recognition of prior work. The Heliophysics Open Modeling Environment will serve as a platform for modelers and model users to work together, facilitate community modeling, and increase the scientific return on modeling investment.

Original languageEnglish
Article numbere2026SW005194
JournalSpace Weather
Volume24
Issue number6
DOIs
StatePublished - Jun 2026
Externally publishedYes

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