Visualizing Confidence in Cluster-based Ensemble Weather Forecast Analyses
preprintposted 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.
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”.
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Submitting Author's InstitutionTechnical University of Munich
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