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dc.contributor.authorFjukstad, Bård
dc.contributor.authorBjørndalen, John Markus
dc.contributor.authorAnshus, Otto
dc.date.accessioned2022-10-06T13:09:10Z
dc.date.available2022-10-06T13:09:10Z
dc.date.issued2014-01
dc.description.abstractThe 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.en_US
dc.identifier.citationFjukstad B, Bjørndalen JM, Anshus O: Uncertainty Estimation and Visualization of Wind in Weather Forecasts. In: Laramee RS, Kerren A, Braz J. Proceedings of the 5th International Conference on Information Visualization Theory and Applications, IVAPP 2014, 2014. SciTePress p. 321-328en_US
dc.identifier.cristinIDFRIDAID 1152818
dc.identifier.doi10.5220/0004660603210328
dc.identifier.isbn978-989-758-005-5
dc.identifier.urihttps://hdl.handle.net/10037/26987
dc.language.isoengen_US
dc.publisherSciTePressen_US
dc.rights.accessRightsopenAccessen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)en_US
dc.titleUncertainty Estimation and Visualization of Wind in Weather Forecastsen_US
dc.type.versionpublishedVersionen_US
dc.typeChapteren_US
dc.typeBokkapittelen_US


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Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)