Kriging Interpolation Algorithm for Displaying Global SABER Infrared Measurements

Details Kriging Interpolation Algorithm for Displaying Global SABER Infrared Measurements Kriging Interpolation Algorithm for Displaying Global SABER Infrared Measurements

May 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008agusmsa41b..06w&link_type=abstract

American Geophysical Union, Spring Meeting 2008, abstract #SA41B-06

Physics

0310 Airglow And Aurora, 0340 Middle Atmosphere: Composition And Chemistry

Scientific paper

Three-dimensional atmospheric measurements from satellites are typically unevenly sampled in resolution for both time and space. To create a global representation for atmospheric trends analysis, an interpolation method was implemented using SABER data from the NASA TIMED satellite. A hybrid Kriging processing method was developed and validated. This method shows significant improvements over a linear interpolation model. Hybrid Kriging uses an adaptive statistical least-squares approach to best give a continuous model of the relationship between discrete data points. The algorithm has been rendered less processing intensive, validated using infrared atmospheric data from the SABER multi-channel scanning radiometer, and then displayed for scientific analysis.

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