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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Recently-posted preprints

21 Sep 2026
Feasibility study of atmospheric carbon dioxide satellite retrievals over snow in the context of the Copernicus Anthropogenic CO2 Monitoring Mission
Amanita Mikkonen, Hartmut Bösch, Jouni Peltoniemi, Leif Vogel, Antonio Di Noia, Ella Kivimäki, Miia Salminen, Maria Gritsevich, Yasjka Meijer, and Hannakaisa Lindqvist
EGUsphere, https://doi.org/10.5194/egusphere-2026-2722,https://doi.org/10.5194/egusphere-2026-2722, 2026
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21 Sep 2026
A new fast multivariate bias correction technique, EMBCCA-UNSEEN (v1.1.0): a case study of compound events in Hunan Province, China, using the UNSEEN approach
Yiwei Yang, James Bacon, Lanpeng Ji, Nadhir Ben Rached, Catherine D. Bradshaw, Jemma C. S. Davie, Thomas Crocker, and Laurence Bradshaw
EGUsphere, https://doi.org/10.5194/egusphere-2026-3932,https://doi.org/10.5194/egusphere-2026-3932, 2026
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21 Sep 2026
Wide-swath satellite altimetry and novel subsurface observations improve predictions in a dynamic western boundary current: Resolving complex fine-scale structures.
Colette Kerry, Moninya Roughan, and Shane Keating
EGUsphere, https://doi.org/10.5194/egusphere-2026-4125,https://doi.org/10.5194/egusphere-2026-4125, 2026
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21 Sep 2026
Cropping-system diversification drives long-term soil carbon gains more strongly than reduced tillage
Saurav Das, Hallie Spell, Andrew Smith, and Carolyn Garrity
EGUsphere, https://doi.org/10.5194/egusphere-2026-4553,https://doi.org/10.5194/egusphere-2026-4553, 2026
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21 Sep 2026
Machine Learning-Enhanced Aerosol Type Classification: Global Multi-Parameter Aerosol Modeling and an Automated Classifier Driven by Active–Passive Remote Sensing Parameters
Zhuo Yang, Qingshan Xu, and Chen Cheng
EGUsphere, https://doi.org/10.5194/egusphere-2026-4776,https://doi.org/10.5194/egusphere-2026-4776, 2026
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