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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 8, issue 7
Geosci. Model Dev., 8, 2329-2353, 2015
https://doi.org/10.5194/gmd-8-2329-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 8, 2329-2353, 2015
https://doi.org/10.5194/gmd-8-2329-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Methods for assessment of models 31 Jul 2015

Methods for assessment of models | 31 Jul 2015

Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0)

M. Rautenhaus et al.
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Abram, G. and Treinish, L.: An Extended Data-Flow Architecture for Data Analysis and Visualization, in: Proceedings of the 6th Conference on Visualization '95, VIS '95, IEEE Computer Society, Washington, DC, USA, 1995.
Alpert, J. C.: 3-dimensional animated displays for sifting out medium range weather events, in: 19th Conference on IIPS, 9–13 February 2003, Long Beach, California, 2003.
Bailey, M.: Using GPU shaders for visualization, IEEE Comput. Graph., 29, 96–100, 2009.
Bailey, M.: Using GPU shaders for visualization, Part 2, IEEE Comput. Graph., 31, 67–73, 2011.
Bailey, M.: Using GPU shaders for visualization, Part 3, IEEE Comput. Graph., 33, 5–11, 2013.
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This article presents "Met.3D", a new open-source tool for the interactive 3D visualization of numerical ensemble weather predictions. Met.3D builds a bridge from proven 2D visualization methods commonly used in meteorology to 3D visualization and implements approaches to using the ensemble to allow the user to assess forecast uncertainty. The article is the first part of a two-paper study discussing how 3D and ensemble visualization can be used in a meaningful way suited to weather forecasting.
This article presents "Met.3D", a new open-source tool for the interactive 3D visualization of...
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