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Using AIRS hyperspectral observations to optimize dust refractive index in infrared spectrum

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Abstract

Climate models lack accurate dust refractive index measurements for estimating radiative forcing. AIRS hyperspectral observations are used to optimize dust refractive index in infrared spectrum through integration of PCA and inverse modelling techniques.

© 2019 The Author(s)

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