Compressive earth observatory: An insight from AIRS/AMSU retrievals

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Authors Ebtehaj, A.M., E. Foufoula-Georgiou, G. Lerman, R.L. Bras
Journal/Conference Name Geophysical Research Letters banner
Paper Category
Paper Abstract We demonstrate that the global fields of temperature, humidity, and geopotential heightsadmit a nearly sparse representation in the wavelet domain, offering a viable path forward to explore newparadigms of sparsity-promoting data assimilation and compressive recovery of land surface-atmosphericstates from space. We illustrate this idea using retrieval products of the Atmospheric Infrared Sounder (AIRS)and Advanced Microwave Sounding Unit (AMSU) on board the Aqua satellite. The results reveal that thesparsity of the fields of temperature is relatively pressure independent, while atmospheric humidity andgeopotential heights are typically sparser at lower and higher pressure levels, respectively. We provideevidence that these land-atmospheric states can be accurately estimated using a small set of measurementsby taking advantage of their sparsity prior.
Date of publication 2015
Code Programming Language MATLAB

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