Visualizing multidimensional climate model data

John S. DaPonte; Paidemwoyo Munhutu

doi:10.1117/12.818280

27 April 2009 Visualizing multidimensional climate model data

John S. DaPonte, Paidemwoyo Munhutu

Proceedings Volume 7341, Visual Information Processing XVIII; 73410U (2009) https://doi.org/10.1117/12.818280
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

John S. DaPonte and Paidemwoyo Munhutu "Visualizing multidimensional climate model data", Proc. SPIE 7341, Visual Information Processing XVIII, 73410U (27 April 2009); https://doi.org/10.1117/12.818280

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