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  Visualization of 2D uncertainty in decadal climate predictions

Böttinger, M., Pohlmann, H., Röber, N., Meier-Fleischer, K., & Spickermann, D. (2015). Visualization of 2D uncertainty in decadal climate predictions. In EuroVis Workshop on Visualization in Environmental Sciences (EnvirVis 2015). doi:10.2312/envirvis.20151083.

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 Creators:
Böttinger, Michael1, Author           
Pohlmann, Holger2, Author           
Röber, N., Author
Meier-Fleischer, Karin1, Author
Spickermann, Daniela, Author
Affiliations:
1I 5 - Visualization, Integrated Activities, The CliSAP Cluster of Excellence, External Organizations, ou_1863496              
2Decadal Climate Predictions - MiKlip, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society, ou_1479671              

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 Abstract: In recent years, climate prediction systems based on coupled climate models are used for investigating the climate predictability on a decadal time scale. Based on ensemble simulation techniques applied and hindcast experiments carried out first, the predictive skill of a system can be derived. The ensemble simulations used for the decadal climate predictions enable the issuing of probabilistic information along with the quantities predicted. In this work, we focus on the concurrent visualization of three related 2D fields: the forecast variable, here the 2m temperature anomaly, along with the corresponding predictive skill and the ensemble spread. We show exemplary solutions produced with three different visualization systems: NCL, Avizo Green and ParaView.

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Language(s): eng - English
 Dates: 2015-02-252015-052015-052015
 Publication Status: Issued
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.2312/envirvis.20151083
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Title: Workshop on Visualization in Environmental Sciences (EnvirVis 2015)
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Title: EuroVis Workshop on Visualization in Environmental Sciences (EnvirVis 2015)
Source Genre: Proceedings
 Creator(s):
Middel, A., Contributor
Rink, K., Contributor
Weber, G.H., Contributor
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-
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