%0 Conference Paper %1 roeber2021ocean %A Röber, Niklas %A Böttinger, Michael %A Ziemen, Florian %A Esch, Monika %A Haak, Helmuth %A Hohenegger, Cathy %A Klocke, Daniel %A Korn, Peter %A Linardakis, Leonidas %A Redler, Rene %A Stevens, Bjorn %A Mauritsen, Thorsten %A Brownlee, Carson %A Günther, Johannes %A Jeffers, Jim %D 2021 %K marinescience oceanresearch visualization %T Putting the Ocean into the Center: A coupled ICONAtmosphere/Ocean Simulation in Spilhaus Projection %U https://sc21.supercomputing.org/proceedings/sci_viz/sci_viz_files/svs103s2-file1.pdf %X Climate simulations are one of the most data intensive scientific disciplines. We have performed another DYAMOND++ experiment using our globally coupled Earth system model ICON-ESM, which allows global simulations at a resolution of 5km to study a wide range of Earth's weather and climate phenomena. The handling of the data and the visualization is not trivial, as in this visualization we look at the full time varying 3D ocean and 3D atmospheric data. The simulation was running for one model year, from which we chose the months May, June and July for visualization. Opposed to the majority of other global climate visualizations, we chose the Spilhaus projection to put the oceans into the center and visualize them as one body of water, without cut outs, clipping planes and only minor distortions. We thereby focus on 3D atmospheric and 3D ocean data, and the interaction in between.

@inproceedings{roeber2021ocean, abstract = {Climate simulations are one of the most data intensive scientific disciplines. We have performed another DYAMOND++ experiment using our globally coupled Earth system model ICON-ESM, which allows global simulations at a resolution of 5km to study a wide range of Earth's weather and climate phenomena. The handling of the data and the visualization is not trivial, as in this visualization we look at the full time varying 3D ocean and 3D atmospheric data. The simulation was running for one model year, from which we chose the months May, June and July for visualization. Opposed to the majority of other global climate visualizations, we chose the Spilhaus projection to put the oceans into the center and visualize them as one body of water, without cut outs, clipping planes and only minor distortions. We thereby focus on 3D atmospheric and 3D ocean data, and the interaction in between.}, added-at = {2021-12-13T10:20:20.000+0100}, author = {Röber, Niklas and Böttinger, Michael and Ziemen, Florian and Esch, Monika and Haak, Helmuth and Hohenegger, Cathy and Klocke, Daniel and Korn, Peter and Linardakis, Leonidas and Redler, Rene and Stevens, Bjorn and Mauritsen, Thorsten and Brownlee, Carson and Günther, Johannes and Jeffers, Jim}, biburl = {https://www.bibsonomy.org/bibtex/299ed23a65a275e397fd3106fb7441518/abernstetter}, eventtitle = {Supercomputing Conference 2021}, interhash = {443cf4a7dfeed6d1a6324303053c251b}, intrahash = {99ed23a65a275e397fd3106fb7441518}, keywords = {marinescience oceanresearch visualization}, month = nov, timestamp = {2021-12-13T10:21:55.000+0100}, title = {Putting the Ocean into the Center: A coupled ICONAtmosphere/Ocean Simulation in Spilhaus Projection}, url = {https://sc21.supercomputing.org/proceedings/sci_viz/sci_viz_files/svs103s2-file1.pdf}, year = 2021 }