UnWeather Vizard: Uncertainty Visualization and Analysis of
High-Resolution Numeric Weather Forecasts
High-Resolution Numeric Weather Forecasts
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Unweather* Vizard
* from unweder: bad weather
In the context of high-impact weather events (HIWE) such as flash floods, strong surface winds, large hail, and even tornadoes, typically caused by heavy thunderstorms, in this project, we address the problem of analyzing, visualizing, and communicating the variability and uncertainty effects associated with short-range (0-24 hours in advance) and high-resolution numerical weather prediction (NWP) systems.
Our goal is to develop novel interactive visual analytics (VA) techniques and tools to better support atmospheric scientists in their task of predicting imminent HIWE and subsequent warnings from collections and ensembles of computed weather predictions. The challenges lie in the effective identification, distillation, and analysis of a variety of relevant input data, in particular including high-resolution NWP runs (ensembles) describing different possible scenarios with abundant details about highly relevant small-scale features and using varying input parameters, as well as the limited time-frame available for effectively communicating results. To address these challenges we propose a cooperation project between domain experts in NWP at the Research Center for the Sea and the Atmosphere (Centro de Investigaciones del Mar y la Atmosfera – CIMA) at the University of Buenos Aires and the National Scientific and Technical Research Council (UBA - CONICET), as well as data visualization and VA experts in the Department of Informatics at the University of Zurich (UZH) as a team-oriented SPIRIT project.
Our goal is to develop novel interactive visual analytics (VA) techniques and tools to better support atmospheric scientists in their task of predicting imminent HIWE and subsequent warnings from collections and ensembles of computed weather predictions. The challenges lie in the effective identification, distillation, and analysis of a variety of relevant input data, in particular including high-resolution NWP runs (ensembles) describing different possible scenarios with abundant details about highly relevant small-scale features and using varying input parameters, as well as the limited time-frame available for effectively communicating results. To address these challenges we propose a cooperation project between domain experts in NWP at the Research Center for the Sea and the Atmosphere (Centro de Investigaciones del Mar y la Atmosfera – CIMA) at the University of Buenos Aires and the National Scientific and Technical Research Council (UBA - CONICET), as well as data visualization and VA experts in the Department of Informatics at the University of Zurich (UZH) as a team-oriented SPIRIT project.
Project timeframe: October 2022 to October 2026
Research Areas:
· Uncertainty visualization
· Meteorology
Research Institutions:
· University of Zurich
· University of Buenos Aires
Funding: SNF (https://www.snf.ch/)
Research Areas:
· Uncertainty visualization
· Meteorology
Research Institutions:
· University of Zurich
· University of Buenos Aires
Funding: SNF (https://www.snf.ch/)
Our trans-disciplinary research project is organized around the following three main scientific research objectives:
- High-resolution ensemble-based short-range NWP and convective cells object tracking
- Spatio-temporal ensemble-based NWP model sensitivity analysis
- Interactive visualization and VA methods of uncertainty in short-range NWP
Prof Dr. Renato Pajarola
Dr. Paola Salio
Dr. Juan Ruiz
Dr. Alexandra Diehl
Social Media Wisdom
News 01
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Quis enim aut eum diligat quem metuat, aut eum a quo se metui putet? Coluntur tamen simulatione dumtaxat ad tempus. Quod si forte, ut fit plerumque, ceciderunt, tum intellegitur quam fuerint inopes amicorum
News 03
Quis enim aut eum diligat quem metuat, aut eum a quo se metui putet? Coluntur tamen simulatione dumtaxat ad tempus. Quod si forte, ut fit plerumque, ceciderunt, tum intellegitur quam fuerint inopes amicorum.
Quod Tarquinium dixisse ferunt, tum exsulantem se intellexisse quos fidos amicos habuisset, quos infidos, cum iam neutris gratiam referre posset.
Quod Tarquinium dixisse ferunt, tum exsulantem se intellexisse quos fidos amicos habuisset, quos infidos, cum iam neutris gratiam referre posset.
