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| Type: | Resource | |
| Storage: | The size of this resource is 5.5 MB | |
| Created: | Jun 25, 2026 at 6:54 p.m. (UTC) | |
| Last updated: | Jul 17, 2026 at 8:24 p.m. (UTC) (Metadata update) | |
| Published date: | Jul 15, 2026 at 9:51 p.m. (UTC) | |
| DOI: | 10.4211/hs.5ce3ea59e78e475d8ccdb9eda16d1ab2 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 267 |
| Downloads: | 19 |
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Abstract
Climate change and a long history of fire suppression have contributed to an increase in the frequency and extent of high-severity wildfires across the western United Sates. Forest treatments such as mechanical thinning and prescribed burning are commonly used strategies to reduce wildfire severity and improve forest resilience. Because of the importance of vegetation cover on the timing and quantity of snow accumulation and melt, both forest treatment and wildfire can affect snowpack behavior in important ways. Here, we develop SNOW-17(VEG), an adaptation of the widely used and validated SNOW-17 temperature index model that incorporates vegetation structure. Statistical evaluation of SNOW-17(VEG) indicated strong agreement between simulated and observed snowpack conditions in a seasonal snowpack when comparing dense forest to a high severity burn scar in Colorado (NSE: 0.95, 0.94; Pbias: 3.4, -2.6; R: 0.97, 0.94). In an ephemeral snowpack in New Mexico, while performance was weaker in terms of absolute magnitude, the model reproduced key differences in snow accumulation and melt timing among dense forest, thinned forest, and high severity burn scar conditions (NSE: 0.84, 0.86, 0.92; Pbias: 56.3, 57.7, 26.7; R: 0.91, 0.90, 0.95). SNOW-17(VEG) provides a low-data framework for evaluating the influence of forest management and wildfire disturbance on snow accumulation and melt in mountain watersheds with available temperature and precipitation observations. The model may support scenario analysis for forest management, water resources planning, and wildfire-related risk assessment.
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| Title | Owners | Sharing Status | My Permission |
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| SNOW-17(VEG) - Vegetation density driven SNOW-17 model, codes, and application | CUAHSI Publisher · Lindsey Rotche | Published | 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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