Data Compression to Improve the Computational Efficiency of Inverse Modeling with Large Satellite Datasets


Xiaoling Liu1, Arlyn Andrews2, He Chang1, Marikate Ellis Mountain3, Thomas Nehrkorn4, Jovan Tadić5, Michael Trudeau6 and Scot M Miller7, (1)Johns Hopkins University, Baltimore, MD, United States, (2)SilverLining, Washington, DC, United States, (3)Verisk Atmospheric and Environmental Research, Lexington, United States, (4)AER Inc, Lexington, MA, United States, (5)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (6)Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (7)Johns Hopkins University, Environmental Health and Engineering, Baltimore, MD, United States
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