Articles | Volume 8, issue 7
https://doi.org/10.5194/gmd-8-2329-2015
© 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-8-2329-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0)
Computer Graphics & Visualization Group, Technische Universität München, Garching, Germany
M. Kern
Computer Graphics & Visualization Group, Technische Universität München, Garching, Germany
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
Viewed
Total article views: 7,204 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Feb 2015)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
3,969 | 2,968 | 267 | 7,204 | 471 | 303 | 218 |
- HTML: 3,969
- PDF: 2,968
- XML: 267
- Total: 7,204
- Supplement: 471
- BibTeX: 303
- EndNote: 218
Total article views: 6,460 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 Jul 2015)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
3,553 | 2,662 | 245 | 6,460 | 347 | 276 | 191 |
- HTML: 3,553
- PDF: 2,662
- XML: 245
- Total: 6,460
- Supplement: 347
- BibTeX: 276
- EndNote: 191
Total article views: 744 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Feb 2015)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
416 | 306 | 22 | 744 | 124 | 27 | 27 |
- HTML: 416
- PDF: 306
- XML: 22
- Total: 744
- Supplement: 124
- BibTeX: 27
- EndNote: 27
Cited
39 citations as recorded by crossref.
- Visual Analysis of Spatial Variability and Global Correlations in Ensembles of Iso‐Contours F. Ferstl et al. 10.1111/cgf.12898
- The North Atlantic Waveguide and Downstream Impact Experiment A. Schäfler et al. 10.1175/BAMS-D-17-0003.1
- A novel method for objective identification of 3-D potential vorticity anomalies C. Fischer et al. 10.5194/gmd-15-4447-2022
- Visualizing 3D Terrain, Geo-Spatial Data, and Uncertainty S. Dübel et al. 10.3390/informatics4010006
- Visual Analysis of the Temporal Evolution of Ensemble Forecast Sensitivities A. Kumpf et al. 10.1109/TVCG.2018.2864901
- An efficient dynamic volume rendering for large-scale meteorological data in a virtual globe X. Zhang et al. 10.1016/j.cageo.2019.01.018
- Robust Detection and Visualization of Jet-Stream Core Lines in Atmospheric Flow M. Kern et al. 10.1109/TVCG.2017.2743989
- Visualization of Climate Science Simulation Data N. Rober et al. 10.1109/MCG.2020.3043987
- Time-Hierarchical Clustering and Visualization of Weather Forecast Ensembles F. Ferstl et al. 10.1109/TVCG.2016.2598868
- Towards nowcasting in Europe in 2030 S. Bojinski et al. 10.1002/met.2124
- The State of the Art in Visual Analysis Approaches for Ocean and Atmospheric Datasets S. Afzal et al. 10.1111/cgf.13731
- Animated analysis of geoscientific datasets: An interactive graphical application P. Morse et al. 10.1016/j.cageo.2017.07.006
- VAPOR: A Visualization Package Tailored to Analyze Simulation Data in Earth System Science S. Li et al. 10.3390/atmos10090488
- A Probability Density-Based Visual Analytics Approach to Forecast Bias Calibration R. Huang et al. 10.1109/TVCG.2020.3025072
- Immersive analytics with augmented reality in meteorology: an exploratory study on ontology and linked data I. Ouedraogo et al. 10.1007/s10055-024-01040-w
- Visual analysis of model parameter sensitivities along warm conveyor belt trajectories using Met.3D (1.6.0-multivar1) C. Neuhauser et al. 10.5194/gmd-16-4617-2023
- PROWIS: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime C. de Souza et al. 10.1109/TVCG.2023.3326514
- Developing Predictive Models and Early Warning Systems for Invading Pathogens: Wheat Rusts C. Gilligan 10.1146/annurev-phyto-121423-041956
- Visualization in Meteorology—A Survey of Techniques and Tools for Data Analysis Tasks M. Rautenhaus et al. 10.1109/TVCG.2017.2779501
- Dynamics of sting‐jet storm Egon over continental Europe: Impact of surface properties and model resolution L. Eisenstein et al. 10.1002/qj.3666
- Interactive 3D Visual Analysis of Atmospheric Fronts M. Kern et al. 10.1109/TVCG.2018.2864806
- Integration-based extraction and visualization of jet stream cores L. Bösiger et al. 10.5194/gmd-15-1079-2022
- Three-Dimensional Visualization of Long-Range Atmospheric Transport of Crop Pathogens and Insect Pests M. Meyer et al. 10.3390/atmos14060910
- XR-based interactive visualization platform for real-time exploring dynamic earth science data X. Zhang et al. 10.1016/j.envsoft.2024.106193
- Cartograms for Use in Forecasting Weather-Driven Natural Hazards F. Pappenberger et al. 10.1080/00087041.2018.1534358
- Three-dimensional visualization of ensemble weather forecasts – Part 2: Forecasting warm conveyor belt situations for aircraft-based field campaigns M. Rautenhaus et al. 10.5194/gmd-8-2355-2015
- Weather forecast and its visualization N. Ravindhar et al. 10.1088/1742-6596/2484/1/012050
- MeteoExplorer: Visual data analysis software for atmospheric and geoscientists L. Yu 10.1002/met.1916
- Development of a component-based interactive visualization system for the analysis of ocean data Y. Wang et al. 10.1080/20964471.2021.1994362
- Visualizing simulation ensembles of extreme weather events C. de Souza et al. 10.1016/j.cag.2022.01.007
- An objective identification technique for potential vorticity structures associated with African easterly waves C. Fischer et al. 10.5194/gmd-17-4213-2024
- Adaptive Sampling of 3D Spatial Correlations for Focus+Context Visualization C. Neuhauser et al. 10.1109/TVCG.2023.3326855
- Visualizing Confidence in Cluster-Based Ensemble Weather Forecast Analyses A. Kumpf et al. 10.1109/TVCG.2017.2745178
- Interactive 3-D visual analysis of ERA5 data: improving diagnostic indices for marine cold air outbreaks and polar lows M. Meyer et al. 10.5194/wcd-2-867-2021
- The three-dimensional structure of fronts in mid-latitude weather systems in numerical weather prediction models A. Beckert et al. 10.5194/gmd-16-4427-2023
- An Interactive Framework for Visualization of Weather Forecast Ensembles B. Ma & A. Entezari 10.1109/TVCG.2018.2864815
- Web-based 3D visualization framework for time-varying and large-volume oceanic forecasting data using open-source technologies R. Qin et al. 10.1016/j.envsoft.2020.104908
- Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting A. Diehl et al. 10.1111/cgf.13279
- 3-D visualization of ensemble weather forecasts – Part 2: Forecasting warm conveyor belt situations for aircraft-based field campaigns M. Rautenhaus et al. 10.5194/gmdd-8-2161-2015
38 citations as recorded by crossref.
- Visual Analysis of Spatial Variability and Global Correlations in Ensembles of Iso‐Contours F. Ferstl et al. 10.1111/cgf.12898
- The North Atlantic Waveguide and Downstream Impact Experiment A. Schäfler et al. 10.1175/BAMS-D-17-0003.1
- A novel method for objective identification of 3-D potential vorticity anomalies C. Fischer et al. 10.5194/gmd-15-4447-2022
- Visualizing 3D Terrain, Geo-Spatial Data, and Uncertainty S. Dübel et al. 10.3390/informatics4010006
- Visual Analysis of the Temporal Evolution of Ensemble Forecast Sensitivities A. Kumpf et al. 10.1109/TVCG.2018.2864901
- An efficient dynamic volume rendering for large-scale meteorological data in a virtual globe X. Zhang et al. 10.1016/j.cageo.2019.01.018
- Robust Detection and Visualization of Jet-Stream Core Lines in Atmospheric Flow M. Kern et al. 10.1109/TVCG.2017.2743989
- Visualization of Climate Science Simulation Data N. Rober et al. 10.1109/MCG.2020.3043987
- Time-Hierarchical Clustering and Visualization of Weather Forecast Ensembles F. Ferstl et al. 10.1109/TVCG.2016.2598868
- Towards nowcasting in Europe in 2030 S. Bojinski et al. 10.1002/met.2124
- The State of the Art in Visual Analysis Approaches for Ocean and Atmospheric Datasets S. Afzal et al. 10.1111/cgf.13731
- Animated analysis of geoscientific datasets: An interactive graphical application P. Morse et al. 10.1016/j.cageo.2017.07.006
- VAPOR: A Visualization Package Tailored to Analyze Simulation Data in Earth System Science S. Li et al. 10.3390/atmos10090488
- A Probability Density-Based Visual Analytics Approach to Forecast Bias Calibration R. Huang et al. 10.1109/TVCG.2020.3025072
- Immersive analytics with augmented reality in meteorology: an exploratory study on ontology and linked data I. Ouedraogo et al. 10.1007/s10055-024-01040-w
- Visual analysis of model parameter sensitivities along warm conveyor belt trajectories using Met.3D (1.6.0-multivar1) C. Neuhauser et al. 10.5194/gmd-16-4617-2023
- PROWIS: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime C. de Souza et al. 10.1109/TVCG.2023.3326514
- Developing Predictive Models and Early Warning Systems for Invading Pathogens: Wheat Rusts C. Gilligan 10.1146/annurev-phyto-121423-041956
- Visualization in Meteorology—A Survey of Techniques and Tools for Data Analysis Tasks M. Rautenhaus et al. 10.1109/TVCG.2017.2779501
- Dynamics of sting‐jet storm Egon over continental Europe: Impact of surface properties and model resolution L. Eisenstein et al. 10.1002/qj.3666
- Interactive 3D Visual Analysis of Atmospheric Fronts M. Kern et al. 10.1109/TVCG.2018.2864806
- Integration-based extraction and visualization of jet stream cores L. Bösiger et al. 10.5194/gmd-15-1079-2022
- Three-Dimensional Visualization of Long-Range Atmospheric Transport of Crop Pathogens and Insect Pests M. Meyer et al. 10.3390/atmos14060910
- XR-based interactive visualization platform for real-time exploring dynamic earth science data X. Zhang et al. 10.1016/j.envsoft.2024.106193
- Cartograms for Use in Forecasting Weather-Driven Natural Hazards F. Pappenberger et al. 10.1080/00087041.2018.1534358
- Three-dimensional visualization of ensemble weather forecasts – Part 2: Forecasting warm conveyor belt situations for aircraft-based field campaigns M. Rautenhaus et al. 10.5194/gmd-8-2355-2015
- Weather forecast and its visualization N. Ravindhar et al. 10.1088/1742-6596/2484/1/012050
- MeteoExplorer: Visual data analysis software for atmospheric and geoscientists L. Yu 10.1002/met.1916
- Development of a component-based interactive visualization system for the analysis of ocean data Y. Wang et al. 10.1080/20964471.2021.1994362
- Visualizing simulation ensembles of extreme weather events C. de Souza et al. 10.1016/j.cag.2022.01.007
- An objective identification technique for potential vorticity structures associated with African easterly waves C. Fischer et al. 10.5194/gmd-17-4213-2024
- Adaptive Sampling of 3D Spatial Correlations for Focus+Context Visualization C. Neuhauser et al. 10.1109/TVCG.2023.3326855
- Visualizing Confidence in Cluster-Based Ensemble Weather Forecast Analyses A. Kumpf et al. 10.1109/TVCG.2017.2745178
- Interactive 3-D visual analysis of ERA5 data: improving diagnostic indices for marine cold air outbreaks and polar lows M. Meyer et al. 10.5194/wcd-2-867-2021
- The three-dimensional structure of fronts in mid-latitude weather systems in numerical weather prediction models A. Beckert et al. 10.5194/gmd-16-4427-2023
- An Interactive Framework for Visualization of Weather Forecast Ensembles B. Ma & A. Entezari 10.1109/TVCG.2018.2864815
- Web-based 3D visualization framework for time-varying and large-volume oceanic forecasting data using open-source technologies R. Qin et al. 10.1016/j.envsoft.2020.104908
- Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting A. Diehl et al. 10.1111/cgf.13279
Saved (final revised paper)
Saved (final revised paper)
Saved (preprint)
Latest update: 18 Nov 2024
Short summary
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...