PUBLICATIONS
Stay tuned – We’re back soon! 🎉
By February 20, 2026, we’ll publish a month-by-month overview of all publications by our ELLIS Unit Jena members, featuring papers where they are first or last authors, starting from the founding of the unit in 2022.
January 2026 (12)
Globally synchronized changes in the biosphere, atmosphere, and society identified using public data
Wantong Li, Gregory Duveiller, Fabian Gans, Jeroen Smits, Guido Kraemer, Dorothea Frank, Miguel D Mahecha, Ulrich Weber, Mirco Migliavacca, Andrej Ceglar, Trevor F Keenan, Markus Reichstein
One Earth 9 (1)
16 January 2026
https://doi.org/10.1016/j.oneear.2025.101559
FreeStylo: An easy-to-use stylistic device detection tool for stylometry
Felix Schneider, Joachim Denzler
Journal of Open Source Software 11 (117), 7596
27 January 2026
https://joss.theoj.org/papers/10.21105/joss.07596
zelll: a fast, framework-free, and flexible implementation of the cell lists algorithm for the rust programming language
Vincent Messow, Christian Höner zu Siederdissen, Michael Habeck
Bioinformatics Advances, vbaf330
2 January 2026
https://doi.org/10.1093/bioadv/vbaf330
Modeling uncertainty with engression: A deep generative time‐series approach
Basil Kraft, Steven Stalder, William H Aeberhard, Nicolás Harrington Ruiz, Nicolai Meinshausen, Xinwei Shen, Lukas Gudmundsson
Geophysical Research Letters 53 (2), e2025GL120122
24 January 2026
https://doi.org/10.1029/2025GL120122
Inter–annual Variability of Model Parameters Improves Simulation of Annual Gross Primary Production
Ranit De, Alexander Brenning, Markus Reichstein, Ladislav Šigut, Borja Ruiz Reverter, Mika Korkiakoski, Eugenie Paul-Limoges, Peter D. Blanken, Thomas Andrew Black, Bert Gielen, Torbern Tagesson, Georg Wohlfahrt, Leonardo Montagnani, Sebastian Wolf, Jiquan Chen, Michael Liddell, Ankur Desai, Sujan Koirala, Nuno Carvalhais
ESS Open Archive
23 January 2026
https://doi.org/10.22541/essoar.174349993.30198378/v2
How Effective Are Foundation Models for Crop Type Mapping Using Hyperspectral Imaging? A Comparative Study of Machine Learning, Deep Learning, and Geospatial Foundation Models
Mohamed Bourriz, Ahmed Laamrani, Hamd Ait Abdelali, François Bourzeix, Ali El-Battay, Abdelhakim Amazirh, Abdelghani Chehbouni
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (48)
15 January 2026
https://doi.org/10.5194/isprs-archives-XLVIII-4-W17-2025-69-2026
Characteristics of agricultural droughts in CMIP6 historical simulations and future projections
Lukas Lindenlaub, Katja Weigel, Birgit Hassler, Colin Jones, Veronika Eyring
Earth System Dynamics
Earth System Dynamics 17 (1), 81-105
14 January 2026
https://doi.org/10.5194/esd-17-81-2026
Unveiling Spectral Attention Redundancy with Explainable AI
Chen Ma; Oscar J. Pellicer-Valero, Kai-Hendrik Cohrs, Jiaqi Yao, Junjun Jiang, Huayi Li, Gustau Camps-Valls
IEEE Geoscience and Remote Sensing Letters
14 January 2026
https://doi.org/10.1109/LGRS.2026.3654396
Perspectives on systematic cloud microphysics scheme development with machine learning
Kara D Lamb, Clare E Singer, Kaitlyn Loftus, Hugh Morrison, Margaret Powell, Joseph Ko, Jatan Buch, Arthur Z Hu, Marcus van Lier Walqui, Pierre Gentine
Journal of Advances in Modeling Earth Systems 18 (1), e2025MS005341
1 January 2026
https://doi.org/10.1029/2025MS005341
Generative emulation of chaotic dynamics with coherent prior
Juan Nathaniel, Pierre Gentine
Computer Methods in Applied Mechanics and Engineering 448, 118410
1 January 2026
https://doi.org/10.1016/j.cma.2025.118410
Physically consistent global atmospheric data assimilation with machine learning in latent space
Ben Fei, Yi Xiao, Kun Chen, Yubao Liu, Yongquan Qu, Fenghua Ling, Pierre Gentine
Science Advances 12 (1), eaea4248
1 January 2026
https://doi.org/10.1126/sciadv.aea4248
Water Stress Induces Diel Patterns of Root Growth
Richard Nair, Martin Strube, Javier Pacheco-Labrador, Marion Schrumpf Schrump, Mirco Migliavacca
bioRxiv, 2026.01. 12.698942
12 January 2026
https://doi.org/10.64898/2026.01.12.698942