EGUsphere – The preprint repository hosted by the European Geosciences Union

EGUsphere, the not-for-profit open scientific repository of the European Geosciences Union (EGU), brings together preprints in the domain of Earth, Space, and Planetary sciences in a diverse, inclusive, and systematic collection of contributions, including:

EGUsphere is transparent and interactive, giving authors of presentations and preprints the opportunity to receive attributed comments from the public aimed at stimulating discussion, cooperation, and to revise their materials in open review.

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Get engaged in EGUsphere, screen newly-submitted preprints before they are posted on the platform, and gain review experiences. We are looking forward to receiving your application. Apply now!

Recently-posted preprints

06 Nov 2026
SWEDE v1.0: emulating dynamically downscaled snow water equivalent across the western United States depends on training data composition
Fanghe Zhao, Stefan Rahimi, Melissa Bukovsky, Karandeep Singh, Chad Thackeray, Jesse Norris, Alex Hall, and Weichen Liu
EGUsphere, https://doi.org/10.5194/egusphere-2026-5377,https://doi.org/10.5194/egusphere-2026-5377, 2026
Discussion: open, 0 comments
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06 Nov 2026
Technical Note: Ionospheric Boundaries Derived from Partial Auroral Images
Angeline Burrell, Gareth Chisham, Bruce Fritz, Yun-Ju Chen, and Kate Zawdie
EGUsphere, https://doi.org/10.5194/egusphere-2026-5594,https://doi.org/10.5194/egusphere-2026-5594, 2026
Discussion: open, 0 comments
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06 Nov 2026
GLAMODAT (v1.0): a model-data comparison tool for assessing transient palaeoglacier simulations
Andreas Henz, Sarah Kamleitner, Samuel U. Nussbaumer, Tancrède P. M. Leger, Guillaume Jouvet, and Andreas Vieli
EGUsphere, https://doi.org/10.5194/egusphere-2026-5635,https://doi.org/10.5194/egusphere-2026-5635, 2026
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06 Nov 2026
Implementation of MEGAN v3.2 in SURFEX v9.0: A new framework for global biogenic emission simulations
Romain Salignat, Jonathan Améric, and Joaquim Arteta
EGUsphere, https://doi.org/10.5194/egusphere-2026-5773,https://doi.org/10.5194/egusphere-2026-5773, 2026
Discussion: open, 0 comments
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06 Nov 2026
Review article: using machine learning for snow remote sensing: trends and future directions for global snow measurements
Catherine Marina Breen, Kehan Yang, Justin Pflug, Sujay Kumar, Nicoleta Cristea, Ibrahim Alabi, and Carrie Vuyovich
EGUsphere, https://doi.org/10.5194/egusphere-2026-5868,https://doi.org/10.5194/egusphere-2026-5868, 2026
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