Publications

Refereed Journals

T. Schneider von Deimling, M. Meinshausen, A. Levermann, V. Huber, K. Frieler, D. M. Lawrence, and V. Brovkin, Estimating the near-surface permafrost-carbon feedback on global warming, Biogeosciences, 9, 649-665, 2012, http://www.biogeosciences.net/9/649/2012/bg-9-649-2012.pdf

Frieler, K., Meinshausen, M., Schneider von Deimling, T. Andrews, and P. Forster (2011), Changes in global-mean precipitation in response to warming, greenhouse gas forcing and black carbon, Geophys. Res. Lett., 38, L04702, doi:10.1029/2010GL045953.
A. Lorenz, H. Held, E. Bauer, T. Schneider von Deimling: "Constraining Ocean Diffusivities from the 8.2 ka event." Climate Dynamcis, Vol. 34 (5), p. 719 (2010).
DOI 10.1007/s00382-009-0590-z Climate Dynamics
A. Ganopolski and T. Schneider von Deimling. Comment on „Aerosol radiative forcing and climate sensitivity deduced from the Last Glacial Maximum to Holocene transition” by Petr Chylek and Ulrike Lohmann, Geophysical Research Letters 35, (2008).

T. Schneider von Deimling, H. Held, A. Ganopolski, S. Rahmstorf. Climate sensitivity estimated from ensemble simulations of glacial climate, Climate Dynamics 27, (2006).

H. Held, T. Schneider von Deimling, Transformation of Possibility Functions in a Climate Model of Intermediate Complexity, Advances in Soft Computing 6, 337-345 (2006).

T. Schneider von Deimling, A. Ganopolski, H. Held, S. Rahmstorf, How cold was the Last Glacial Maximum?, Geophys. Res. Lett. 33, L14709, (2006).

Other

T. Schneider von Deimling, "Estimating climate sensitivity", In: K. Richardson, W. Steffen, D. Livermann: Climate Change: Global Risks, Challenges and Decisions, CUP, Feb. 2011. link
DFG Abschlussbericht (2010) Projekt ASSERT.

T. Schneider von Deimling, S. Rahmstorf, "Die Wetterzurücksage", DFG Magazin FORSCHUNG, 4/2009.

T. Schneider von Deimling, A. Ganopolski, H. Held, S. Rahmstorf. Are paleo-proxy data helpful for constraining future climate change?, PAGES News, 16, (2008).

PhD thesis

Constraining uncertainty in climate sensitivity, An ensemble simulation approach based on glacial climate, University of Potsdam (2006)