ABSTRACT:

Data repository corresponding to Pflug et al. (2020): "Downscaling snow deposition using historic snow depth patterns: diagnosing limitation from snowfall biases, winter snow losses, and interannual snow pattern repeatability"

This repository includes the regridded lidar, model forcing data, and model results that
are detailed in the manuscript. The model used for this study was SnowModel, with
liquid water percolation adaptations from Pflug et al. (2019). Model source code can be
found at: https://github.com/jupflug/SnowModel/tree/snowfall_scaling

ABSTRACT:

Data repository for Pflug and Lundquist (2020): "Inferring distributed snow depth by leveraging snow pattern repeatability: Investigation using 47 lidar observations in the Sierra Nevada Tuolumne watershed"

ABSTRACT:

Supporing information, data, and code for Pflug et al. (2019): Reducing airborne lidar spatial coverage using snow pattern assimilation in complex terrain. The data and code provided are necessary for reproducing and analyzing the results discussed in the text. To begin, unzip the compressed folder. The included README provides includes information necessary to understand the data and organization. Please contact jpflug@uw.edu with any questions you may have.