credit: GEOMAR / J. Hasenclever
Paleoclimate data synthesis and analysis of associated uncertainty
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Recent Publications out of PalMod
Expanding Greenland Ice Sheet Enhances Sensitivity of Plio-Pleistocene Climate to Obliquity Forcing in the Kiel Climate Model
Citation: Song Z., Latif M. & Park W. (2017). Expanding Greenland Ice Sheet Enhances Sensitivity of Plio-Pleistocene Climate to Obliquity Forcing in the Kiel Climate Model. Geophysical Research Letters, 44. https://doi.org/10.1002/2017GL074835
Citation: Mark A. Torres, Nils Moosdorf, Jens Hartmann, Jess F. Adkins, and A. Joshua West: Glacial weathering, sulfide oxidation, and global carbon cycle feedbacks, PNAS, 114(33), 8716–8721, 2017 (doi: 10.1073/pnas.1702953114)
Parallel-in-time: A comment by M. Hinze and T. Slawig
A recent article by Paul Davis in the Society of Industrial and Applied Mathematics’ SIAM news features the topic Climate Prediction, Exascale Computing and Time Parallelism.
The text reflects the increasing importance that time-parallel methods experience in high performance computing in the last years. It refers to the 2017 SIAM Conference on Computational Science and Engineering, held in Atlanta this February. There, a minisymposium was organized on the topic.