Abstract
Visualization is an important and ubiquitous tool in the daily work of weather forecasters and atmospheric researchers to analyse data from simulations and observations. In my presentation, I will focus on ongoing work on:
- “Met.3D”, our open-source effort to make interactive, 3-D, feature-based, and ensemble visualization techniques accessible to the meteorological community (https://met3d.readthedocs.org);
- the use of Met.3D to create 3-D visualizations of DWD open data (https://wx.hcds.uni-hamburg.de, user/pw “nawdic”)
- using artificial neural network methods to detect atmospheric features (including atmospheric fronts and atmospheric rivers) and to explain the detection process.
The discussion is intended to cover further topics in visual analysis and communication of interest to DWD.
The objective of my visit is to present work in meteorological visualization from the University of Hamburg Visual Data Analysis group (UHH-VDA), now transitioning to the Fulda University of Applied Sciences Department of Applied Computer Science (HFD-AI), and to discuss options for future collaboration between DWD and HFD-AI with respect to teaching, research, and development to advance meteorological visualization methods and software.