Visual Analytics of Weather Forecasts

During my talk, I will introduce the research work I have done in the area of geospatial visual analytics applied to weather forecasting. I will present the outcome of a long-term collaboration with meteorologists in the development of geo-visual analytics methods for weather forecasting, including short-term weather forecasting, probabilistic forecasting, and currently, visual storm analysis. I will also present my recent efforts on the analysis of citizen data, and discuss the challenges and opportunities of using this kind of information to improve the nowcasting (very short-term weather forecasting) of weather hazards.

Bio
Alexandra Diehl is a postdoctoral researcher in the Multimedia and Visualization group at the Department of Informatics of the University of Zurich(UZH), Switzerland. She received her Dip. Eng. in Computer Engineering (2005) and her Ph.D. (2016) in Computer Science at the University of Buenos Aires, Argentina. Before her current position, she was a postdoctoral researcher at the Data Visualization and Analysis Group (DBVIS) at the University of Konstanz, Germany.
Her research interests include geospatial visual analytics, visual design, foundations of visualization, citizen science, and environmental sciences. During her Ph.D., she focused on the visual analysis of weather forecasting and predictive analytics methods. In her previous position as a postdoc in Konstanz, she faced topics related to social media analytics, Volunteer Geographic Information (VGI), and human geography. In particular, she studied the use of visual analytics to analyze bias and uncertainty inherent to VGI. Alexandra is also a lecturer, with experience teaching information visualization, visual analytics, and geographic information systems.