Fakultät Informatik

Met.3D - Visualization of Ensemble Weather Predictions

In the context of weather forecasting during aircraft-based field campaigns, the Technical University of Munich's Chair for Computer Graphics and Visualization is, in collaboration with the DLR (German Aerospace Centre) Institute of Atmospheric Physics, developing a GPU powered 3D weather forecasting tool for ECMWF ensemble forecasts. In our project, we are interested in how we can exploit the computational power of GPUs to create interactive 3D visualizations of ensemble predictions that enable the forecaster to (a) quickly identify atmospheric features of interest to a campaign and (b) assess the features' uncertainty. This includes technical issues as well as the question of how the forecast meteorological fields and the uncertainty information derived from the ensemble can best be presented in three dimensions.

 

 

Publications

 Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0)
M. Rautenhaus, M. Kern, A. Schäfler, and R. Westermann,  Geosci. Model Dev., 8, 2329-2353, 2015

 

 Three-dimensional visualization of ensemble weather forecasts – Part 2: Forecasting warm conveyor belt situations for aircraft-based field campaigns
M. Rautenhaus, C. M. Grams, A. Schäfler and R. Westermann,  Geosci. Model Dev., 8, 2355-2377, 2015

 

GPU based interactive 3D visualization of ECMWF ensemble forecasts
M. Rautenhaus, C. M. Grams, A. Schäfler and R. Westermann,  ECMWF Newsletter, 138, 34-38, 2014

 

Interactive 3D visualization of ECMWF ensemble forecasts for research flight planning
M. Rautenhaus, C. M. Grams, A. Schäfler and R. Westermann, Poster at Using ECMWF's forecasts 2013, Reading, UK.

Related Publications

 A web service based tool to plan atmospheric research flights
M. Rautenhaus, G. Bauer, A. Dörnbrack Geosci. Model Dev., 5, 55-71, 2012

 

 

News, SS'16

- Seminar "Recent Highlights", Kick-off Meeting: 1. Feb., 16:15, 02.13.010.

- Computer Games Laboratory for SS'16 coming up ...