Bela, M. M.; Longo, K. M.; Freitas, S. R.; Moreira, D. S.; Beck, V.; Wofsy, S. C.; Gerbig, C.; Wiedemann, K.; Andreae, M. O.; Artaxo, P.: Ozone production and transport over the Amazon Basin during the dry-to-wet and wet-to-dry transition seasons. Atmospheric Chemistry and Physics 15, pp. 757 - 782 (2015)
Beck, V.; Gerbig, C.; Koch, T.; Bela, M.M.; Longo, K.M.; Freitas, S.R.; Kaplan, J.O.; Prigent, C.; Bergamaschi, P.; Heimann, M.: WRF-Chem simulations in the Amazon region during wet and dry season transitions: evaluation of methane models and wetland inundation maps. Atmospheric Chemistry and Physics 13, pp. 7961 - 7982 (2012)
Beck, V.; Chen, H.; Gerbig, C.; Bergamaschi, P.; Bruhwiler, L.; Houweling, S.; Rockmann, T.; Kolle, O.; Steinbach, J.; Koch, T.et al.; Sapart, C. J.; van der Veen, C.; Frankenberg, C.; Andreae, M. O.; Artaxo, P.; Longo, K. M.; Wofsy, S. C.: Methane airborne measurements and comparison to global models during BARCA. Journal of Geophysical Research: Atmospheres 117, D15310 (2012)
Andreae, M. O.; Artaxo, P.; Beck, V.; Bela, M.; Freitas, S.; Gerbig, C.; Longo, K.; Munger, J. W.; Wiedemann, K. T.; Wofsy, S. C.: Carbon monoxide and related trace gases and aerosols over the Amazon Basin during the wet and dry seasons. Atmospheric Chemistry and Physics 12 (13), pp. 6041 - 6065 (2012)
Pillai, D.; Gerbig, C.; Kretschmer, R.; Beck, V.; Karstens, U.; Neininger, B.; Heimann, M.: Comparing Lagrangian and Eulerian models for CO2 transport - a step towards Bayesian inverse modeling using WRF/STILT-VPRM. Atmospheric Chemistry and Physics 12, pp. 8979 - 8991 (2012)
Chen, H.; Winderlich, J.; Gerbig, C.; Höfer, A.; Rella, C. W.; Crosson, E. R.; Van Pelt, A. D.; Steinbach, J.; Kolle, O.; Beck, V.et al.; Daube, B. C.; Gottlieb, E. W.; Chow, V. Y.; Santoni, G. W.; Wofsy, S. C.: High-accuracy continuous airborne measurements of greenhouse gases (CO2 and CH4) using the cavity ring-down spectroscopy (CRDS) technique. Atmospheric Measurement Techniques 3 (2), pp. 375 - 386 (2010)
Beck, V.: Determination of the methane budget of the Amazon region utilizing airborne methane observations in combination with atmospheric transport and vegetation modeling. Dissertation, Friedrich-Schiller-Universität, Jena (2012)
In the annual ranking of the world's most cited and thus most influential scientists, five authors from our institute are once again represented in 2024.
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 Chapter of the Order has elected the writer, philosopher and filmmaker Alexander Kluge and the mathematician Gerd Faltings as domestic members of the Order and the geologist Susan Trumbore and the literary scholar Stephen Greenblatt as foreign members.
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.
On June 24, Prof. Dr. Henrik Hartmann, head of the Julius Kühn Institute for Forest Protection and former group leader at the Max Planck Institute for Biogeochemistry, received an important award for his scientific achievements in the field of forestry. Our warmest congratulations!
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.
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.