Exploring the Earth System
We contribute to the understanding of how living organisms – including humans - exchange fundamental resources like water, carbon, nitrogen and energy with their environment, and how this affects and responds to global climate and environmental change.
News
 | Artificial Intelligence to boost Earth system scienceFebruary 14, 2019Artificial intelligence (AI) can make a significant contribution to improving climate and Earth system models and related predictions. more |
 | Wind energy supplies almost three quarters of expected electrical energyFebruary 06, 2019Is the contribution of wind energy to the electricity mix correctly estimated? Scientists from the MPI-BGC investigated the expected efficiency of wind turbines and compared it with the real values. more |
 | How predatory plankton created modern ecosystems after ‘Snowball Earth’ January 29, 2019Tiny amounts of ancient molecules provide clues as to how living creatures on our planet formed after 50 million years of ice cover. more |
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Recent Publications
| Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty Tian, H., Yang, J., Xu, R., Lu, C., Canadell, J. G., Davidson, E. A., Jackson, R. B., Arneth, A., Chang, J., Ciais, P., Gerber, S., Ito, A., Joos, F., Lienert, S., Messina, P., Olin, S., Pan, S., Peng, C., Saikawa, E., Thompson, R. L., Vuichard, N., Winiwarter, W., Zaehle, S., Zhang, B. (2019) Global Change Biology. 25, 640-659. doi:10.1111/gcb.14514. |
| Flood hazard assessment of the Rhône river revisited with reconstructed discharges from lake sediments Evin, G., Wilhelm, B., Jenny, J.-P. (2019) Global and Planetary Change. 172, 114-123. doi:10.1016/j.gloplacha.2018.09.010. |
| Have wind turbines in Germany generated electricity as would be expected from the prevailing wind conditions in 2000-2014? Germer, S., Kleidon, A. (2019) PLoS One. 14, e0211028. doi:10.1371/journal.pone.0211028. |
| Extreme anomaly event detection in biosphere using linear regression and a spatiotemporal MRF model García, Y. G., Shadaydeh, M., Mahecha, M. D., Denzler, J. (2018) Natural Hazards. doi:10.1007/s11069-018-3415-8. |
| An image transform based on temporal decomposition Cremer, F., Urbazaev, M., Berger, C., Mahecha, M. D., Schmullius, C., Thiel, C. (2018) IEEE Geoscience and Remote Sensing Letters. 15, 537-541. doi:10.1109/LGRS.2018.2791658. |