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Authors: Bård Fjukstad 1 ; John Markus Bjørndalen 2 and Otto Anshus 2

Affiliations: 1 University of Tromsø and Norwegian Meteorological Institute, Norway ; 2 University of Tromsø, Norway

Keyword(s): Numerical Models, Weather Forecasting, Distributed Computation, Scientific Visualization.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Flow Visualization ; Scientific Visualization ; Spatial Data Visualization ; Uncertainty Visualization ; Virtual Environments and Data Visualization

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 several formats:
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 (VISIGRAPP 2014) - IVAPP; ISBN 978-989-758-005-5; ISSN 2184-4321, SciTePress, pages 321-328. DOI: 10.5220/0004660603210328

@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 (VISIGRAPP 2014) - IVAPP},
year={2014},
pages={321-328},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004660603210328},
isbn={978-989-758-005-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Information Visualization Theory and Applications (VISIGRAPP 2014) - IVAPP
TI - Uncertainty Estimation and Visualization of Wind in Weather Forecasts
SN - 978-989-758-005-5
IS - 2184-4321
AU - Fjukstad, B.
AU - Bjørndalen, J.
AU - Anshus, O.
PY - 2014
SP - 321
EP - 328
DO - 10.5220/0004660603210328
PB - SciTePress