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Digital Object Identifier (DOI) : 10.14569/IJARAI.2013.020905
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 9, 2013.
Abstract: Method for visualization of 5D assimilation data for meteorological forecasting and its related disaster mitigations utilizing Vis5D of software tool is proposed. In order to mitigate severe weather related disaster, meteorological forecasting and prediction is needed. There are some numerical weather forecasting data, in particular, assimilation data. Time series of three dimensional geophysical parameters have to be represented visually onto computer display in a comprehensive manner. On the other hand, there are some visualization software tools. In particular, Vis5D of software tool for animation of three dimensional imagery data can be displayed. Through experiments with NCEP/GDAS assimilation data, it is found that the proposed method is appropriate for representation of 5D assimilation data in a comprehensive manner.
Kohei Arai , “Visualization of 5D Assimilation Data for Meteorological Forecasting and Its Related Disaster Mitigations Utilizing Vis5D of Software Tool” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(9), 2013. http://dx.doi.org/10.14569/IJARAI.2013.020905