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Model and Lidar derived Snow and Canopy information at the sub-watershed scale for Southwestern Colorado

April 10, 2026

Snow and Canopy data for a forest snow web interface. The USGS developed a new snow model that better represents forest-snow interactions and the results are displayed in an interactive web-platform. This platform allows an end user to query the results to better understand how changing forests may impact snow water resources within the model domain. These data are from existing published data scaled to 169 unique HUC-12 sub-watersheds in Southwestern Colorado. Model data from a model called 'Snowmodel' includes mean, median, 25% quantile, and 75% quantile Snowmodel derived Snow Water Equivalent and Incoming Shortwave radiation for nine water years (1989, 1992, 1995, 2002, 2003, 2004, 2006, 2015, 2017) that represent specific precipitation and melt rate patterns. These data are located in the zip folder called 'snowmodel.7z.' Lidar data includes percentages, mean, median, 25% quantile and 75% quantile of (1) forest area; (2) open area; (3) forest edginess with a southern aspect; and (4) forest edginess with a northern aspect. These data are located in the file labeled 'canopy_data.csv' and represent canopy conditions from 2019. Lidar-derived canopy estimates are from: Moeser, C.D., and Sexstone, G.A., 2023, High Resolution Canopy Structure and Density Metrics for Southwest Colorado Derived from 2019 Aerial Lidar: U.S. Geological Survey data release, https://doi.org/10.5066/P9ESQIAV

Publication Year 2026
Title Model and Lidar derived Snow and Canopy information at the sub-watershed scale for Southwestern Colorado
DOI 10.5066/P13BCWNE
Authors Charles D Moeser, Graham A Sexstone, Theodore B Barnhart
Product Type Data Release
Record Source USGS Asset Identifier Service (AIS)
USGS Organization New Mexico Water Science Center
Rights This work is marked with CC0 1.0 Universal
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