three-dimensional visualization of ensemble weather forecasts – part 1: the visualization tool met.3d (version 1.0)
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2015
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Abstract
We present "Met.3D", a new open-source tool for the interactive three-dimensional (3-D) visualization of numerical ensemble weather predictions. The
tool has been developed to support weather forecasting during
aircraft-based atmospheric field campaigns; however, it is applicable
to further forecasting, research and teaching activities. Our work
approaches challenging topics related to the visual analysis of
numerical atmospheric model output – 3-D visualization, ensemble
visualization and how both can be used in a meaningful way suited
to weather forecasting. Met.3D builds a bridge from proven 2-D
visualization methods commonly used in meteorology to 3-D
visualization by combining both visualization types in a 3-D
context. We address the issue of spatial perception in the 3-D view
and present approaches to using the ensemble to allow the user to
assess forecast uncertainty. Interactivity is key to our approach.
Met.3D uses modern graphics technology to achieve interactive
visualization on standard consumer hardware. The tool supports
forecast data from the European Centre for Medium Range Weather
Forecasts (ECMWF) and can operate directly on ECMWF hybrid sigma-pressure
level grids. We describe the employed visualization algorithms, and
analyse the impact of the ECMWF grid topology on computing 3-D
ensemble statistical quantities. Our techniques are demonstrated
with examples from the T-NAWDEX-Falcon 2012 (THORPEX – North Atlantic Waveguide and Downstream Impact Experiment) campaign.
| Reference Key |
rautenhaus2015geoscientificthree-dimensional
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| Authors | ;M. Rautenhaus;M. Kern;A. Schäfler;R. Westermann |
| Journal | international journal of quantum chemistry |
| Year | 2015 |
| DOI |
10.5194/gmd-8-2329-2015
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| URL | |
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