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Filtering by: Keyword X-ray micro-computed tomography Language English Language Python 2.7

Supporting data for the Near-Infrared Emitting and Reflectance-Monitoring Dome

Creator:

Adam Schneider and Mark Flanner

Description:

This dataset contains all data used to generate the figures in The Cryosphere manuscript “Measuring Snow Specific Surface Area with 1.30 and 1.55 micro-meter Bidirectional Reflectance Factors,” by Adam Schneider, Mark Flanner, and Roger De Roo. These data support the theory, calibration, and application of the Near-Infrared Emitting and Reflectance Monitoring Dome (NERD), an instrument engineered to rapidly retrieve surface snow specific surface area in the field. Note that this deposit includes a microCT scan database for natural snowfall samples collected in New Hampshire during 2015-2017, comprised of raw tiff files as well as reconstructions, binarized reconstructions, and some 3D model reconstructions. and Running python scripts generally require that the following packages are installed: NumPy, SciPy, Matplotlib, Pandas, and ipdb (for debugging).

Keyword:

Snow specific surface area, Monte Carlo, X-ray micro-computed tomography, SNICAR, Near-Infrared Emitting and Reflectance-Monitoring Dome, Bidirectional reflectance factor, Cryosphere, and 3D

Citation to related publication:

Schneider, Adam & Flanner, Mark & De Roo, Roger. (2018). Measuring Snow Specific Surface Area with 1.30 and 1.55 μm Bidirectional Reflectance Factors. The Cryosphere Discussions. https://doi.org/10.5194/tc-2018-198

Discipline:

Science