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Visualizing multidimensional climate model data
Resource type
Authors/contributors
- DaPonte, John S. (Author)
- Munhutu, Paidemwoyo (Author)
Title
Visualizing multidimensional climate model data
Abstract
The primary purpose of this study was to investigate the feasibility of using simulated data from the United Kingdom Meteorological Office (UKMO) global climate mathematical model to serve as boundary values for a regional model RM3 which has been used by NASA to make predictions about climate dynamics in West Africa. In the past, historical data has been used successfully as boundary data but this approach limits outcomes to time periods in the past. The advantage of using the UKMO data is its potential to provide input boundary data for future time periods resulting in future regional predictions. This study has provided NASA scientists with graphical and statistical summaries including visual animations that provide qualitative and quantitative information necessary for evaluating whether the UKMO data can be used as a driving force for the RM3 model. One definite conclusion of this investigation is that both spatial and temporal interpolation of UKMO results will be necessary in order to make its results compatible with the RM3 model.
Proceedings Title
Visual Information Processing XVIII
Conference Name
Visual Information Processing XVIII
Publisher
International Society for Optics and Photonics
Date
2009/04/27
Volume
7341
Pages
73410U
ISBN
0277786X (ISSN); 9780819476074 (ISBN)
Citation Key
daponteVisualizingMultidimensionalClimate2009
Accessed
12/24/19, 7:47 PM
Language
English
Library Catalog
Extra
0 citations (Crossref) [2023-10-31]
Citation Key Alias: lens.org/085-256-486-320-082, pop00289
tex.type: [object Object]
Citation
DaPonte, J. S., & Munhutu, P. (2009). Visualizing multidimensional climate model data. Visual Information Processing XVIII, 7341, 73410U. https://doi.org/10.1117/12.818280
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