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Visualizing Confidence in Cluster-based Ensemble Weather Forecast Analyses

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preprint
posted on 2020-01-30, 16:11 authored by Alexander KumpfAlexander Kumpf, Bianca Tost, Marlene Baumgart, Michael Riemer, Rüdiger Westermann, Marc Rautenhaus
Preprint of paper Visualizing Confidence in Cluster-based
Ensemble Weather Forecast Analyses,
published in IEEE Transactions on Visualization and Computer Graphics, vol. 24, no. 1, pp. 109-119, Jan. 2018.
doi: 10.1109/TVCG.2017.2745178
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019883&isnumber=8165924

Funding

The research leading to these results has been done within the subprojects B5 ”Data-driven ensemble visualization“ and A1 ”Upscale impact of diabatic processes from convective to near-hemispheric scale“ of the Transregional Collaborative Research Center SFB/TRR 165 ”Waves to Weather“ funded by the German Research Foundation (DFG). The work was partly funded by the European Union under the ERC Advanced Grant 291372 SaferVis: Uncertainty Visualization for Reliable Data Discovery. Access to ECMWF prediction data has been kindly provided in the context of the ECMWF special project “Support Tool for HALO Missions”.

History

Email Address of Submitting Author

alexander.kumpf@tum.de

Submitting Author's Institution

Technical University of Munich

Submitting Author's Country

  • Germany

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    Keywords

    Uncertainty visualizationensemble visualizationclusteringmeteorology

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    CC BY-NC-SA 4.0

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