Lee, H. T.; Jung, M.; Carvalhais, N.; Reichstein, M.; Forkel, M.; Bloom, A. A.; Pacheco-Labrador, J.; Koirala, S.: Spatial attribution of temporal variability in global land-atmosphere CO2 exchange using a model-data integration framework. Journal of Advances in Modeling Earth Systems 17 (3), e2024MS004479v (2025)
Metz, E.-M.; Vardag, S. N.; Basu, S.; Jung, M.; Butz, A.: Seasonal and interannual variability in CO2 fluxes in southern Africa seen by GOSAT. Biogeosciences 22 (2), pp. 555 - 584 (2025)
Mauder, M.; Jung, M.; Stoy, P.; Nelson, J. A.; Wanner, L.: Energy balance closure at FLUXNET sites revisited. Agricultural and Forest Meteorology 358, 110235 (2024)
Pallandt, M.; Jung, M.; Arndt, K. A.; Natali, S. M.; Rogers, B.; Virkkala, A.-M.; Göckede, M.: High-latitude eddy covariance temporal network design and optimization. Journal of Geophysical Research: Biogeosciences 129 (19), e2024JG008406 (2024)
Xie, J.; Liu, X.; Jasechko, S.; Berghuijs, W. R.; Wang, K.; Liu, C.; Reichstein, M.; Jung, M.; Koirala, S.: Majority of global river flow sustained by groundwater. Nature Geoscience 17, pp. 770 - 777 (2024)
Wanner, L.; Jung, M.; Paleri, S.; Butterworth, B. J.; Desai, A. R.; Sühring, M.; Mauder, M.: Towards energy-balance closure with a model of dispersive heat fluxes. Boundary-Layer Meteorology 190, 25 (2024)
Zhang, W.; Nelson, J. A.; Miralles, D. G.; Mauder, M.; Migliavacca, M.; Poyatos, R.; Reichstein, M.; Jung, M.: A new post-hoc method to reduce the energy imbalance in eddy covariance measurements. Geophysical Research Letters 51 (2), e2023GL107084 (2024)
Kunik, L.; Raczka, B.; Smith, K. R.; Bowling, D.; Frankenberg, C.; Köhler, P.; Cheng, R.; Goulden, M. L.; Jung, M.; Lin, J. C.: Satellite-based solar-induced fluorescence tracks seasonal and elevational patterns of photosynthesis in California's Sierra Nevada mountains. Environmental Research Letters 19 (1), 014008 (2024)
Trautmann, T.; Koirala, S.; Guentner, A.; Kim, H.; Jung, M.: Calibrating global hydrological models with GRACE TWS: does river storage matter? Environmental Research Communications 5 (8), 081005 (2023)
Metz, E.-M.; Vardag, S. N.; Basu, S.; Jung, M.; Ahrens, B.; El-Madany, T. S.; Sitch, S.; Arora, V. K.; Briggs, P. R.; Friedlingstein, P.et al.; Goll, D. S.; Jain, A. K.; Kato, E.; Lombardozzi, D.; Nabel, J. E. M. S.; Poulter, B.; Séférian, R.; Tian, H.; Wiltshire, A.; Yuan, W.; Yue, X.; Zaehle, S.; Deutscher, N. M.; Griffith, D. W. T.; Butz, A.: Soil respiration–driven CO2 pulses dominate Australia’s flux variability. Science 379, 6639, pp. 1332 - 1335 (2023)
Zhang, W.; Jung, M.; Migliavacca, M.; Poyatos, R.; Miralles, D. G.; El-Madany, T. S.; Galvagno, M.; Carrara, A.; Arriga, N.; Ibrom, A.et al.; Mammarella, I.; Papale, D.; Cleverly, J. R.; Liddell, M.; Wohlfahrt, G.; Markwitz, C.; Mauder, M.; Paul-Limoges, E.; Schmidt, M.; Wolf, S.; Brümmer, C.; Arain, M. A.; Fares, S.; Kato, T.; Ardö, J.; Oechel, W.; Hanson, C.; Korkiakoski, M.; Biraud, S.; Steinbrecher, R.; Billesbach, D.; Montagnani, L.; Woodgate, W.; Shao, C.; Carvalhais, N.; Reichstein, M.; Nelson, J. A.: The effect of relative humidity on eddy covariance latent heat flux measurements and its implication for partitioning into transpiration and evaporation. Agricultural and Forest Meteorology 330, 109305 (2023)
Henry, R. C.; Arneth, A.; Jung, M.; Rabin, S. S.; Rounsevell, M. D.; Warren, F.; Alexander, P.: Global and regional health and food security under strict conservation scenarios. Nature Sustainability 5, pp. 303 - 310 (2022)
Kraft, B.; Jung, M.; Körner, M.; Koirala, S.; Reichstein, M.: Towards hybrid modeling of the global hydrological cycle. Hydrology and Earth System Sciences 26 (6), pp. 1579 - 1614 (2022)
The BIOMASS satellite was successfully launched into orbit on 29 April 2025. The BIOMASS mission is designed to map and monitor global forests. It will map the structure of different forest types and provide data on above-ground biomass.
David Hafezi Rachti was awarded twice: for his EGU poster with this year’s “Outstanding Student and PhD candidate Presentation” (OSPP) and for his Bachelor thesis, he received the 1st prize of the “Young Climate Scientist Award 2024”.
The Global Carbon Project shows that fossil CO2 emissions will continue to rise in 2024. There is no sign of the rapid and substantial decline in emissions that would be needed to limit the impact of climate change
A recent study by scientists from the Max Planck Institute for Biogeochemistry and the University of Leipzig suggests that increasing droughts in the tropics and changing carbon cycle responses due to climate change are not primarily responsible for the strong tropical response to rising temperatures. Instead, a few particularly strong El Niño events could be the cause.
A study by Leipzig University, the German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig (iDiv) and the MPI for Biogeochemistry shows that gaps in the canopy of a mixed floodplain forest have a direct influence on the temperature and moisture in the forest soil, but only a minor effect on soil activity.
EU funds the international research project AI4PEX to further improve Earth system models and thus scientific predictions of climate change. Participating scientists from 9 countries met at the end of May 2024 to launch the project at the MPI for Biogeochemistry in Jena, which is leading the project.
From the Greek philosopher Aristotle to Charles Darwin to the present day, scientists have dealt with this fundamental question of biology. Contrary to public perception, however, it is still largely unresolved. Scientists have now presented a new approach for the identification and delimitation of species using artificial intelligence (AI).
The 73rd Lindau Nobel Laureate Meeting was dedicated to physics and was held from June 30 to July 5, 2024. It brought together around 40 Nobel Laureates and 635 young scientists from more than 90 nations.
Tropical forests are continuously being fragmented and damaged by human influences. Using remote sensing data and cutting-edge data analysis methods, researchers can now show for the first time that the impact of this damage is greater than previously estimated.
The new research project "PollenNet" aims to use artificial intelligence to accurately predict the spread of pollen. In order to improve allergy prevention, experts are bringing together the latest interdisciplinary findings from a wide range of fields.