Schaphoff, S.; von Bloh, W.; Rammig, A.; Thonicke, K.; Biemans, H.; Forkel, M.; Gerten, D.; Heinke, J.; Jägermeyr, J.; Knauer, J.et al.; Langerwisch, F.; Lucht, W.; Müller, C.; Rolinski, S.; Waha, K.: LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description. Geoscientific Model Development 11 (4), pp. 1343 - 1375 (2018)
Knauer, J.; Zaehle, S.; Reichstein, M.; Medlyn, B. E.; Forkel, M.; Hagemann, S.; Werner, C.: The response of ecosystem water-use efficiency to rising atmospheric CO2 concentrations: sensitivity and large-scale biogeochemical implications. New Phytologist 213 (4), pp. 1654 - 1666 (2017)
Filippa, G.; Cremonese, E.; Migliavacca, M.; Galvagno, M.; Forkel, M.; Wingate, L.; Tomelleri, E.; di Cella, U. M.; Richardson, A. D.: Phenopix: A R package for image-based vegetation phenology. Agricultural and Forest Meteorology 220, pp. 141 - 150 (2016)
Sippel, S.; Otto, F. E. L.; Forkel, M.; Allen, M. R.; Guillod, B. P.; Heimann, M.; Reichstein, M.; Seneviratne, S. I.; Thonicke, K.; Mahecha, M. D.: A novel bias correction methodology for climate impact simulations. Earth System Dynamics 7 (1), pp. 71 - 88 (2016)
Thurner, M.; Beer, C.; Carvalhais, N.; Forkel, M.; Santoro, M.; Tum, M.; Schmullius, C.: Large-scale variation in boreal and temperate forest carbon turnover rate is related to climate. Geophysical Research Letters 43 (9), pp. 4576 - 4585 (2016)
Forkel, M.; Migliavacca, M.; Thonicke, K.; Reichstein, M.; Schaphoff, S.; Weber, U.; Carvalhais, N.: Codominant water control on global interannual variability and trends in land surface phenology and greenness. Global Change Biology 21 (9), pp. 3414 - 3435 (2015)
Forkel, M.; Carvalhais, N.; Schaphoff, S.; Bloh, W. v.; Migliavacca, M.; Thurner, M.; Thonicke, K.: Identifying environmental controls on vegetation greenness phenology through model-data integration. Biogeosciences 11 (23), pp. 7025 - 7050 (2014)
Urban, M.; Forkel, M.; Eberle, J.; Hüttich, C.; Schmullius, C.; Herold, M.: Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981–2012). Remote Sensing 6 (3), pp. 2296 - 2316 (2014)
Urban, M.; Forkel, M.; Schmullius, C.; Hese, S.; Hüttich, C.; Herold, M.: Identification of land surface temperature and albedo trends in AVHRR pathfinder data from 1982 to 2005 for northern Siberia. International Journal of Remote Sensing 34 (12), pp. 4491 - 4507 (2014)
Forkel, M.; Carvalhais, N.; Verbesselt, J.; Mahecha, M. D.; Neigh, C. S.R.; Reichstein, M.: Trend change detection in NDVI time series: Effects of inter-annual variability and methodology. Remote Sensing 5 (5), pp. 2113 - 2144 (2013)
Forkel, M.; Thonicke, K.; Beer, C.; Cramer, W.; Bartalev, S.; Schmullius, C.: Extreme fire events are related to previous-year surface moisture conditions in permafrost-underlain larch forests of Siberia. Environmental Research Letters 7 (4), 044021 (2012)
Forkel, M.: Controls on Global Greening, Phenology and the Enhanced Seasonal CO2 Amplitude: Integrating Decadal Satellite Observations and Global Ecosystem Models. Dissertation, 323 pp., Friedrich Schiller University Jena, Jena (2015)
Extreme precipitation should increase with warmer temperatures. Data from tropical regions show that this correlation is obscured by the cooling effect of clouds. When cloud effects are corrected, the increase in extreme precipitation with rising temperatures becomes apparent.
More frequent strong storms are destroying ever larger areas of the Amazon rainforest. Storm damage was mapped between 1985 and 2020. The total area of affected forests roughly quadrupled in the period studied.
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
The Chinese Academy of Sciences (CAS) and the German National Academy of Sciences Leopoldina will hold a joint conference on the challenges of achieving carbon neutrality in Berlin on October 29-30, 2024.
Experts from science, journalism, local authorities and non-governmental organizations consider a change of course in communication on climate issues to be urgently needed. The appeal was published on the occasion of the K3 Congress on Climate Communication with around 400 participants in Graz.
Since the first measurement flight in 1994, the European research infrastructure IAGOS has developed a measurement technique that is used in commercial airplanes and regularly provide extensive climate data from the atmosphere.
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.
Thuringia is severely affected by climate change, which is already reflected in extreme weather events and rising temperatures. The Climate Council is calling for the consistent implementation and tightening of climate policy targets in order to achieve climate neutrality by 2045. The coming legislative period is crucial for the future of Thuringia.
When it comes to studying climate change, we generally assume that the total amount of carbon emissions determines how much the planet will warm. A new study suggests that not only the amount, but also the timing of those emissions controls the amount of surface warming that occurs on human time-scale.
Nitrogen fertilizers and nitrogen oxides from fossil fuels pollute the air and drinking water, lead to the over-fertilization of water bodies and terrestrial ecosystems, reduce biodiversity and damage the ozone layer. On balance, however, they have a cooling effect on the climate.