Uncertainty Estimation and Visualization of Wind in Weather Forecasts

Bård Fjukstad, John Markus Bjørndalen, Otto Anshus

2014

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.

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Paper Citation


in Harvard Style

Fjukstad B., Bjørndalen J. and Anshus O. (2014). Uncertainty Estimation and Visualization of Wind in Weather Forecasts . In Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014) ISBN 978-989-758-005-5, pages 321-328. DOI: 10.5220/0004660603210328

in Bibtex Style

@conference{ivapp14,
author={Bård Fjukstad and John Markus Bjørndalen and Otto Anshus},
title={Uncertainty Estimation and Visualization of Wind in Weather Forecasts},
booktitle={Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014)},
year={2014},
pages={321-328},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004660603210328},
isbn={978-989-758-005-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014)
TI - Uncertainty Estimation and Visualization of Wind in Weather Forecasts
SN - 978-989-758-005-5
AU - Fjukstad B.
AU - Bjørndalen J.
AU - Anshus O.
PY - 2014
SP - 321
EP - 328
DO - 10.5220/0004660603210328