GFIT3: a full physics retrieval algorithm for remote sensing of greenhouse gases in the presence of aerosols

GFIT3: a full physics retrieval algorithm for remote sensing of greenhouse gases in the presence of aerosols

<p>Remote sensing of greenhouse gases (GHGs) in cities, where high GHG emissions are typically associated with heavy aerosol loading, is challenging due to retrieval uncertainties caused by the imperfect characterization of scattering by aerosols. We investigate this problem by developing GFIT...

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Bibliographic Details
Main Authors:	Z.-C. Zeng, V. Natraj, F. Xu, S. Chen, F.-Y. Gong, T. J. Pongetti, K. Sung, G. Toon, S. P. Sander, Y. L. Yung
Format:	Article
Language:	English
Published:	Copernicus Publications 2021-10-01
Series:	Atmospheric Measurement Techniques
Online Access:	https://amt.copernicus.org/articles/14/6483/2021/amt-14-6483-2021.pdf

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