Articles | Volume 8, issue 7
https://doi.org/10.5194/gmd-8-2355-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-2355-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
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 2: Forecasting warm conveyor belt situations for aircraft-based field campaigns
Computer Graphics & Visualization Group, Technische Universität München, Garching, Germany
C. M. Grams
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
A. Schäfler
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
R. Westermann
Computer Graphics & Visualization Group, Technische Universität München, Garching, Germany
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Cited
17 citations as recorded by crossref.
- Integration-based extraction and visualization of jet stream cores L. Bösiger et al. https://doi.org/10.5194/gmd-15-1079-2022
- The North Atlantic Waveguide and Downstream Impact Experiment A. Schäfler et al. https://doi.org/10.1175/BAMS-D-17-0003.1
- A novel method for objective identification of 3-D potential vorticity anomalies C. Fischer et al. https://doi.org/10.5194/gmd-15-4447-2022
- Three-Dimensional Visualization of Long-Range Atmospheric Transport of Crop Pathogens and Insect Pests M. Meyer et al. https://doi.org/10.3390/atmos14060910
- Identification of high-wind features within extratropical cyclones using a probabilistic random forest – Part 1: Method and case studies L. Eisenstein et al. https://doi.org/10.5194/wcd-3-1157-2022
- Visualizing Confidence in Cluster-Based Ensemble Weather Forecast Analyses A. Kumpf et al. https://doi.org/10.1109/TVCG.2017.2745178
- Lagrangian matches between observations from aircraft, lidar and radar in a warm conveyor belt crossing orography M. Boettcher et al. https://doi.org/10.5194/acp-21-5477-2021
- Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0) M. Rautenhaus et al. https://doi.org/10.5194/gmd-8-2329-2015
- An atmospheric dynamics perspective on the amplification and propagation of forecast error in numerical weather prediction models: A case study C. Grams et al. https://doi.org/10.1002/qj.3353
- An objective identification technique for potential vorticity structures associated with African easterly waves C. Fischer et al. https://doi.org/10.5194/gmd-17-4213-2024
- Interactive 3-D visual analysis of ERA5 data: improving diagnostic indices for marine cold air outbreaks and polar lows M. Meyer et al. https://doi.org/10.5194/wcd-2-867-2021
- The LAGRANTO Lagrangian analysis tool – version 2.0 M. Sprenger & H. Wernli https://doi.org/10.5194/gmd-8-2569-2015
- The three-dimensional structure of fronts in mid-latitude weather systems in numerical weather prediction models A. Beckert et al. https://doi.org/10.5194/gmd-16-4427-2023
- Visualization in Meteorology—A Survey of Techniques and Tools for Data Analysis Tasks M. Rautenhaus et al. https://doi.org/10.1109/TVCG.2017.2779501
- Interactive 3D Visual Analysis of Atmospheric Fronts M. Kern et al. https://doi.org/10.1109/TVCG.2018.2864806
- Visual analysis of model parameter sensitivities along warm conveyor belt trajectories using Met.3D (1.6.0-multivar1) C. Neuhauser et al. https://doi.org/10.5194/gmd-16-4617-2023
- The effect of lossy compression of numerical weather prediction data on data analysis: a case study using enstools-compression 2023.11 O. Tintó Prims et al. https://doi.org/10.5194/gmd-17-8909-2024
17 citations as recorded by crossref.
- Integration-based extraction and visualization of jet stream cores L. Bösiger et al. https://doi.org/10.5194/gmd-15-1079-2022
- The North Atlantic Waveguide and Downstream Impact Experiment A. Schäfler et al. https://doi.org/10.1175/BAMS-D-17-0003.1
- A novel method for objective identification of 3-D potential vorticity anomalies C. Fischer et al. https://doi.org/10.5194/gmd-15-4447-2022
- Three-Dimensional Visualization of Long-Range Atmospheric Transport of Crop Pathogens and Insect Pests M. Meyer et al. https://doi.org/10.3390/atmos14060910
- Identification of high-wind features within extratropical cyclones using a probabilistic random forest – Part 1: Method and case studies L. Eisenstein et al. https://doi.org/10.5194/wcd-3-1157-2022
- Visualizing Confidence in Cluster-Based Ensemble Weather Forecast Analyses A. Kumpf et al. https://doi.org/10.1109/TVCG.2017.2745178
- Lagrangian matches between observations from aircraft, lidar and radar in a warm conveyor belt crossing orography M. Boettcher et al. https://doi.org/10.5194/acp-21-5477-2021
- Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0) M. Rautenhaus et al. https://doi.org/10.5194/gmd-8-2329-2015
- An atmospheric dynamics perspective on the amplification and propagation of forecast error in numerical weather prediction models: A case study C. Grams et al. https://doi.org/10.1002/qj.3353
- An objective identification technique for potential vorticity structures associated with African easterly waves C. Fischer et al. https://doi.org/10.5194/gmd-17-4213-2024
- Interactive 3-D visual analysis of ERA5 data: improving diagnostic indices for marine cold air outbreaks and polar lows M. Meyer et al. https://doi.org/10.5194/wcd-2-867-2021
- The LAGRANTO Lagrangian analysis tool – version 2.0 M. Sprenger & H. Wernli https://doi.org/10.5194/gmd-8-2569-2015
- The three-dimensional structure of fronts in mid-latitude weather systems in numerical weather prediction models A. Beckert et al. https://doi.org/10.5194/gmd-16-4427-2023
- Visualization in Meteorology—A Survey of Techniques and Tools for Data Analysis Tasks M. Rautenhaus et al. https://doi.org/10.1109/TVCG.2017.2779501
- Interactive 3D Visual Analysis of Atmospheric Fronts M. Kern et al. https://doi.org/10.1109/TVCG.2018.2864806
- Visual analysis of model parameter sensitivities along warm conveyor belt trajectories using Met.3D (1.6.0-multivar1) C. Neuhauser et al. https://doi.org/10.5194/gmd-16-4617-2023
- The effect of lossy compression of numerical weather prediction data on data analysis: a case study using enstools-compression 2023.11 O. Tintó Prims et al. https://doi.org/10.5194/gmd-17-8909-2024
Saved (final revised paper)
Latest update: 24 Jun 2026
Short summary
This article presents the application of interactive 3D visualization of ensemble
weather predictions to forecasting warm conveyor belt situations during aircraft-based atmospheric research campaigns. A method to predict 3D probabilities of the spatial occurrence of WCBs is developed and integrated into the 3D visualization tool "Met.3D", introduced in the first part of this two-paper study. A case study demonstrates the use of 3D and uncertainty visualization for weather forecasting.
This article presents the application of interactive 3D visualization of ensemble
weather...
