Publications

Ivanova, A.; Tang, W.; Simon, C.; Dührkop, K.; Böcker, S.; Gleixner, G.: Enhancing chimeric fragmentation spectra deconvolution using direct infusion–tandem mass spectrometry across high-resolution mass spectrometric platforms. Rapid Communications in Mass Spectrometry 40 (3), e10170 (2026)

Liu, J.; Qian, Y.; Wang, S.; Gu, W.; Guo, D.: Characterizing diurnal variations and driving factors of major gaseous pollutants across China. Atmospheric Environment 367, 121759 (2026)

Ivanova, K.; Virkkala, A.-M.; Brovkin, V.; Stacke, T.; Widhalm, B.; Bartsch, A.; Voigt, C.; Sonnentag, O.; Göckede, M.: High-resolution remote sensing and machine-learning-based upscaling of methane fluxes: a case study in the Western Canadian tundra. Biogeosciences 23 (1), pp. 233 - 262 (2026)

Pilz, L.; Lüken-Winkels, C.; Galkowski, M.; Ho, D.; Gerbig, C.; Chen, F.; Vardag, S. N.: Evaluation of high-resolution WRF simulation in urban areas — Effect of different physics schemes on simulation performance in the Rhine-Main-Neckar area. Atmospheric Research 328, 108435 (2026)

Hild, K.; Kwarkye, N.; Huang, C.; Harms, H.; Chatzinotas, A.; Ritschel, T.; Totsche, K. U.; Wick, L. Y.: Transport and survival of marine tracer phages in topsoil at field conditions. Environmental Science & Technology (2025)

Kim, S.; Huh, W.; Jeon, J.; Park, C.; Park, S.; Wookyung, S.; Park, Y.; Baek, J.; Lee, M.; Lee, H. et al.; Hong, J.; Kim, S.; Kim, K.; Oh, N.-H.; Chung, H.; Choe, H.; Kim, H. S.: Linking water and carbon use traits to drought and warming response strategies in three high-elevation species. Tree Physiology (accepted)

ElGhawi, R.; Reimers, C.; Schnur, R.; Reichstein, M.; Körner, M.; Carvalhais, N.; Winkler, A. J.: Hybrid‐modeling of land‐atmosphere fluxes using integrated machine learning in the ICON‐ESM modeling framework. Journal of Advances in Modeling Earth Systems 17 (12), e2025MS005102 (2025)

ElGhawi, R.; Winkler, A.; Reimers, C.; Schall, A.; Gensheimer, J.; Kraft, B.: Imitation or identification: limitations of deep learning in extrapolating to future climate-carbon cycle change. Machine Learning: Earth 1 (1), 01LT02 (2025)

Matos, R. R.; Craig, A.; Koch, B. P.; Hawkes, J.; Moodie, L. W. K.; Ivanova, A.; Gleixner, G.; Guth, P.; Knorr, K.-H.; Tebben, J. et al.; Reemtsma, T.; Zherebker, A.; Lechtenfeld, O. J.: Functional group distribution shapes chemical properties of degraded terrestrial and marine dissolved organic matter. Environmental Science & Technology 59 (49), pp. 26539 - 26549 (2025)

Pallandt, M.; Chatterjee, A.; Ott, L.; Marshall, J.; Göckede, M.: If the Yedoma thaws, will we notice? Quantifying detection limits of top-down methane monitoring infrastructures. Atmospheric Measurement Techniques 18 (22), pp. 7053 - 7073 (2025)

Tran, D. A.; de Arellano, J. V.-G.; Luijkx, I. T.; Gerbig, C.; Galkowski, M.; Botia, S.; Faassen, K.; Zaehle, S.: Increasing diurnal and seasonal amplitude of atmospheric methane mole fraction in Central Siberia between 2010–2021. Atmospheric Chemistry and Physics 25 (22), pp. 16553 - 16588 (2025)

Yazbeck, T.; Schlutow, M.; Bolek, A.; Triches, N. Y.; Wahl, E.; Heimann, M.; Göckede, M.: Quantifying landcover-specific fluxes over a heterogeneous landscape through coupling UAV-measured mixing ratios with a large-eddy simulation model and Eddy-covariance measurements. Atmospheric Measurement Techniques 18 (22), pp. 6917 - 6932 (2025)

Hellmann, S.; Gil-Díaz, T.; Corte-Rodríguez, M.; Merten, D.; Montes-Bayon, M.; Schaefer, T.: Improved single particle ICP-MS assessment using a novel Python-based data processing algorithm (Sparta) for nanoparticle quantification. Journal of Analytical Atomic Spectrometry (2025)

Pacheco-Labrador, J.; Gomarasca, U.; Pabon-Moreno, D. E.; Li, W.; Migliavacca, M.; Jung, M.; Duveiller, G.: BOSSE v1.0: the Biodiversity Observing System Simulation Experiment. Geoscientific Model Development 18 (21), pp. 8401 - 8422 (2025)

Chen, S.; Blougouras, G.; Calamita, E.; Lee, S.-C.; Fatecha, B.; Zheng, R.; Huang, J.; Jiang, S.: Diverse environmental factors shape patterns of terrestrial and riverine productivity decoupling. Geophysical Research Letters 52 (20), e2025GL118748 (2025)

Metzler, H.; Sierra, C. A.: Information content and maximum entropy of compartmental systems in equilibrium. Entropy 27 (10), 1085 (2025)

Heinze, B.; Schwab, V. F.; Küsel, K.; Schloemer, S.; Roskam, A.; Xu, X.; Trumbore, S. E.: Microbial oxidation significantly reduces methane export from global groundwaters. Proceedings of the National Academy of Sciences of the United States of America 122 (42), e2508773122 (2025)

Paulus, S.; Migliavacca, M.; Reichstein, M.; Orth, R.; Lee, S.-C.; Carrara, A.; Hildebrandt, A.; Nelson, J. A.: Insights into water vapor uptake by dry soils using a global eddy covariance observation network. Global Change Biology 31 (10), e70547 (2025)

Zhan, W.; Lian, X.; Liu, J.; Han, J.; Huang, Y.; Yang, H.; Zhan, C.; Winkler, A.; Gentine, P.: Reduced water loss rather than increased photosynthesis controls CO₂-enhanced water-use efficiency. Nature Ecology & Evolution 9, pp. 1571 - 1584 (2025)

Byron, J.; Pugliese, G.; Monteiro, C.; Robin, M.; Gomes Alves, E.; Schuettler, J.; Hartmann, S. C.; Krumm, B.; Zannoni, N.; Tsokankunku, A. et al.; Dias-Junior, C.; Quesada, C.; Hartwig, H. H.; Bourtsoukidis, E.; Lelieveld, J.; Williams, J.: Mirror image molecules expose state of rainforest stress. Communications Earth & Environment 6, 703 (2025)