Volume 19, issue 7

07 Apr 2026

DEEP-SEAM: an explainable semi-supervised deep learning framework for mineral prospectivity mapping

Zijing Luo, Ehsan Farahbakhsh, Stephen Hore, and R. Dietmar Müller

Geosci. Model Dev., 19, 2593–2625, https://doi.org/10.5194/gmd-19-2593-2026,https://doi.org/10.5194/gmd-19-2593-2026, 2026

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07 Apr 2026

| Highlight paper

The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7)

Detlef P. Van Vuuren, Brian C. O'Neill, Claudia Tebaldi, Benjamin M. Sanderson, Louise P. Chini, Pierre Friedlingstein, Tomoko Hasegawa, Keywan Riahi, Bala Govindasamy, Nico Bauer, Veronika Eyring, Cheikh M. N. Fall, Katja Frieler, Matthew J. Gidden, Laila K. Gohar, Annika Högner, Andrew D. Jones, Jarmo Kikstra, Andrew King, Reto Knutti, Elmar Kriegler, Peter Lawrence, Chris Lennard, Jason Lowe, Camilla Mathison, Shahbaz Mehmood, Zebedee Nicholls, Luciana F. Prado, Qiang Zhang, Steven K. Rose, Alex C. Ruane, Marit Sandstad, Carl-Friedrich Schleussner, Roland Seferian, Jana Sillmann, Chris Smith, Anna A. Sörensson, Swapna Panickal, Kaoru Tachiiri, Naomi Vaughan, Saritha S. Vishwanathan, Tokuta Yokohata, Marco Zecchetto, and Tilo Ziehn

Geosci. Model Dev., 19, 2627–2656, https://doi.org/10.5194/gmd-19-2627-2026,https://doi.org/10.5194/gmd-19-2627-2026, 2026

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07 Apr 2026

Validation strategies for deep learning-based groundwater level time series prediction using exogenous meteorological input features

Fabienne Doll, Tanja Liesch, Maria Wetzel, Stefan Kunz, and Stefan Broda

Geosci. Model Dev., 19, 2657–2675, https://doi.org/10.5194/gmd-19-2657-2026,https://doi.org/10.5194/gmd-19-2657-2026, 2026

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