22nd International Conference on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology


The “Best” Interpolation Technique for Atmospheric Datasets

Rochelle G. Williams, Univ. of Alabama, Huntsville, AL

Atmospheric datasets characterize conditions at a physical location during a specific length of time. Geostatistical analyses frequently require conversion of discretized data to contiguous using an interpolation technique. Many techniques exist and can be used on atmospheric data. A common question is, “which interpolation method is the best?” Unfortunately, there is no one “best” method. A technique that works well in one analysis may work poorly in another.

This presentation includes an overview of two-dimensional and three-dimensional interpolation techniques, how to choose the “best” method for a given analysis, and problems to avoid when interpolating atmospheric data.


Session 8, GIS Applications
Tuesday, 31 January 2006, 1:45 PM-5:30 PM, A412

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