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| Created: | Jun 25, 2026 at 10:04 p.m. (UTC) | |
| Last updated: | Jul 12, 2026 at 9:43 p.m. (UTC) | |
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Abstract
Snowpack is a critical component of water resources in the southwestern United States, however, it is becoming increasingly vulnerable due to climate change. Changes in forest structure resulting from wildfire and forest treatments further influence snow accumulation and melt processes. Existing snow models that explicitly represent forest structure’s influence on snowpack are often data intensive and therefore not applicable for many watersheds, especially in the southwestern United States. In this study we apply a relatively low data requirement, forest structure driven, snow model called SNOW-17(VEG). We develop an automated methodology for delineating vegetation-density zones, integrating stochastic temperature and precipitation scenarios, and operationalizing the model through a graphical interface. Model calibration shows strong agreement with observed snowpack, especially in the snow-dominated portions of the watershed (NSE: 0.96 , Pbias: 8.8, R: 0.97). Projected increases in temperatures reduced snowpack accumulation and accelerated snowmelt across simulation scenarios. This study demonstrates a transferable, low-data framework for integrating vegetation structure and climate uncertainty into snowpack modeling and provides a practical approach for evaluating the combined effects of vegetation change and climate uncertainty on snowpack dynamics in semi-arid watersheds.
Subject Keywords
Coverage
Spatial
Content
README.txt
Application of SNOW-17(VEG) in GoldSim for the Santa Fe Municipal Watershed. Vegetation zones were created with SNOW-17(VEG) automated vegetation zones python code. Temperature and Precipitation scenarios are pulled from WGEN.
Related Resources
| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| SNOW-17(VEG) | Lindsey Rotche | Public & Shareable | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| U.S. National Science Foundation | SRS RN: Transforming Rural-Urban Systems: Trajectories for Sustainability in the Intermountain West | 2115169 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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