Palstra, S. W. L.; Karstens, U.; Streurman, H. J.; Meijer, H. A. J.: Wine ethanol C-14 as a tracer for fossil fuel CO2 emissions in Europe: Measurements and model comparison. Journal of Geophysical Research: Atmospheres 113 (D21), p. 21305 (2008)
Trusilova, K.; Jung, M.; Churkina, G.; Karstens, U.; Heimann, M.; Claussen, M.: Urbanization impacts on the climate in Europe: Numerical experiments by the PSU-NCAR Mesoscale Model (MM5). Journal of Applied Meteorology and Climatology 47 (5), pp. 1442 - 1455 (2008)
Geels, C.; Gloor, M.; Ciais, P.; Bousquet, P.; Peylin, P.; Vermeulen, A. T.; Dargaville, R.; Aalto, T.; Brandt, J.; Christensen, J. H.et al.; Frohn, L. M.; Haszpra, L.; Karstens, U.; Rödenbeck, C.; Ramonet, M.; Carboni, G.; Santaguida, R.: Comparing atmospheric transport models for future regional inversions over Europe - Part 1: mapping the atmospheric CO2 signals. Atmospheric Chemistry and Physics 7 (13), pp. 3461 - 3479 (2007)
Levin, I.; Karstens, U.: Inferring high-resolution fossil fuel CO2 records at continental sites from combined 14CO2 and CO observations. Tellus, Series B - Chemical and Physical Meteorology 59 (2), pp. 245 - 250 (2007)
Gamnitzer, U.; Karstens, U.; Kromer, B.; Neubert, R. E. M.; Meijer, H. A. J.; Schroeder, H.; Levin, I.: Carbon monoxide: A quantitative tracer for fossil fuel CO2? Journal of Geophysical Research: Atmospheres 111 (22), p. D22302 (2006)
Karstens, U.; Gloor, M.; Heimann, M.; Rödenbeck, C.: Insights from simulations with high-resolution transport and process models on sampling of the atmosphere for constraining midlatitude land carbon sinks. Journal of Geophysical Research: Atmospheres 111 (12), p. D12301 (2006)
Chevillard, A.; Ciais, P.; Karstens, U.; Heimann, M.; Schmidt, M.; Levin, I.; Jacob, D.; Podzun, R.; Kazan, V.; Sartorius, H.et al.; Weingartner, E.: Transport of 222Rn using the regional model REMO: a detailed comparison with measurements over Europe. Tellus, Series B - Chemical and Physical Meteorology 54 (5), pp. 850 - 871 (2002)
Chevillard, A.; Karstens, U.; Ciais, P.; Lafont, S.; Heimann, M.: Simulation of atmospheric CO2 over Europe and western Siberia using the regional scale model REMO. Tellus, Series B - Chemical and Physical Meteorology 54 (5), pp. 872 - 894 (2002)
Lafont, S.; Kergoat, L.; Dedieu, G.; Chevillard, A.; Karstens, U.; Kolle, O.: Spatial and temporal variability of land CO2 fluxes estimated with remote sensing and analysis data over western Eurasia. Tellus, Series B - Chemical and Physical Meteorology 54 (5), pp. 820 - 833 (2002)
Rockel, B.; Karstens, U.: Development of the water budget for three extra-tropical cyclones with intense rainfall over Europe. Meteorology and Atmospheric Physics 77 (1-4), pp. 75 - 83 (2001)
Levin, I.; Karstens, U.: Quantifying fossil fuel CO2 over Europe. In: The continental-scale greenhouse gas balance of Europe, Vol. 203, pp. 53 - 72 (Eds. Dolman, A. J.; Freibauer, A.; Valentini, R.). Springer, New York [u.a.] (2008)
Thanks to FLUXCOM-X, the next generation of data driven, AI-based earth system models, scientists can now see the Earth’s metabolism at unprecedented detail – assessed everywhere on land and every hour of the day.
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).
A research team led by the German Centre for Integrative Biodiversity Research (iDiv) and Leipzig University has developed an algorithm that analyses observational data from the Flora Incognita app. The novel can be used to derive ecological patterns that could provide valuable information about the effects of climate change on plants.
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.
If rivers overflow their banks, the consequences can be devastating. Using methods of explainable machine learning, researchers at the Helmholtz Centre for Environmental Research (UFZ) have shown that floods are more extreme when several factors are involved in their development.
Plant observations collected with plant identification apps such as Flora Incognita allow statements about the developmental stages of plants - both on a small scale and across Europe.
We have gained a new external member: Prof. Dr. Christian Wirth has been appointed by the Senate of the Max Planck Society as External Scientific Member. As a former group leader and later fellow at the institute, Prof. Wirth initiated and supported the development of the TRY database, the world's largest collection on plant traits.
A new study shows a natural solution to mitigate the effects of climate change such as extreme weather events. Researchers found that a diverse plant community acts as a buffer against fluctuations in soil temperature. This buffer, in turn, can have a decisive influence on important ecosystem processes.
The plant identification app Flora Incognita receives this year's Sonja Bernadotte Award for its importance in nature education for all age groups and its high scientific standards and usefulness.