Snow grain size retrieved from near-infrared radiances at multiple wavelengths

Wei Li, Knut Stamnes, Bingquan Chen, Xiaozhen Xiong

Research output: Contribution to journalArticlepeer-review

67 Scopus citations

Abstract

A comprehensive forward radiative transfer model is used to construct a snow grain size retrieval algorithm that relies on the use of NIR radiances. Data collected by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) at the wavelengths 0.86, 1.05, 1.24 and 1.73 μm are used to retrieve snow grain size. Based on a single-layer (homogeneous) snow model, the retrieved snow grain size appears to depend on wavelength. The photon penetration depth defined as the e-folding flux attenuation depth has be computed for different snow grain sizes and different wavelengths. It reveals that this apparent wavelength dependence occurs because (i) the snow grain size generally increases with depth, and (ii) the photon penetration depth decreases with increasing wavelength. The results show that the wavelength dependence of the photon penetration depth can be used to retrieve the depth dependence of the snow grain size.

Original languageEnglish
Pages (from-to)1699-1702
Number of pages4
JournalGeophysical Research Letters
Volume28
Issue number9
DOIs
StatePublished - 1 May 2001

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