DocumentCode :
3669357
Title :
Uncertainty estimation and visualization of wind inweather forecasts
Author :
Bård Fjukstad;John Markus Bjørndalen;Otto Anshus
Author_Institution :
Department of computer science, University of Tromsø
fYear :
2014
Firstpage :
321
Lastpage :
328
Abstract :
The Collaborative Symbiotic Weather Forecasting system, CSWF, let individual users do on-demand small-region, short-term, and very high-resolution forecasts. When the regions have some overlap, a symbiotic forecast can be produced based on the individual forecasts from each region. Small differences in where the center of the region is located when there is complex terrain in the region, leads to significant differences in the forecasted values of wind speed and direction. These differences reflect the uncertainty of the numerical model. This paper describes two different ways of presenting these differences using a traditional map based approach on a laptop and a display wall, and an augmented reality approach on a tablet. The approaches have their distinct advantages and disadvantages depending on the actual use and requirements of the user.
Keywords :
"Wind forecasting","Uncertainty","Data visualization","Computers"
Publisher :
ieee
Conference_Titel :
Information Visualization Theory and Applications (IVAPP), 2014 International Conference on
Type :
conf
Filename :
7294446
Link To Document :
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