EGU 2018 - Optical remote sensing of snow

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EGU 2018 - Optical remote sensing of snow

Box, Jason Eric

Dear Colleagues,

We cordially invite you to contribute to the following session as part of the EGU General Assembly (8–13 April 2018, Vienna, Austria):

CR2.2 
Optical remote sensing of snow

Convener: Alexander Kokhanovsky  
Co-Conveners: Jason Box, Knut Stamnes

Satellite, airborne and ground-based optical remote sensing of snow using is of great importance for understanding the current state of the cryosphere and climate change. There are different algorithms to derive snow properties (snow optical grain size, snow impurity content, snow fractional area, snow spectral and broadband albedo) using optical radiometers, spectrometers, and spectrophotopolarimeters.

This session is aimed at discussions of algorithms to solve the snow inverse problem, namely the snow properties and characteristics of snow impurities (algae, soot, dust, etc.) using optical measurements. The theoretical solution of the corresponding inverse problem is complicated by the fact that the snow grain size is much larger as compared to the wavelength of the incident light, the snow grains are closely packed and are of irregular shapes.

The horizontal and vertical heterogeneity of snow and snow surface morphology (e.g., sastrugi, ice patches and vegetation) add additional problems for the solution of the inverse problem. All these complications lead to the difference in results obtained by different remote sensing algorithms when applied to the same snow surface. An important task of this session is to narrow the gap between retrieval results from different groups by advances in understanding of light scattering, absorption and also radiative transfer in snow as well as advances in cloud screening, atmospheric correction, and solutions of the inverse problem.

http://meetingorganizer.copernicus.org/EGU2018/session/26449

Deadline for abstracts: 10 Jan 2018, 13:00 CET


Please note that in order to apply for EGU Travel Support you must submit an abstract by 1 December 2017.

We look forward to seeing you all in Vienna.

Kind regards,

Convener: Alexander Kokhanovsky  
Co-Conveners: Jason Box, Knut Stamnes


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