openosmia/snowlaps
Deep learning emulator of a radiative transfer model to study the impact of light absorbing particles on snow albedo
This tool helps glaciologists and cryosphere scientists quickly understand how different light-absorbing particles impact snow reflectivity. You input snow properties like grain size and contaminant types, and it outputs the snow's spectral albedo, or you can input albedo observations to infer snow properties. It's designed for researchers studying snow and ice albedo.
No commits in the last 6 months.
Use this if you need rapid simulations of snow spectral albedo or want to infer snow characteristics from observational data, without waiting for complex radiative transfer models.
Not ideal if you require the absolute highest precision and interpretability of a full physical radiative transfer model rather than a deep learning approximation.
Stars
7
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Language
Python
License
GPL-3.0
Category
Last pushed
May 13, 2025
Commits (30d)
0
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