Checking for missing content type metadata ...
This resource contains content types with missing metadata required to make it public or discoverable. Show missing content type metadata.
Click on the edit button ( ) below to edit this resource.
Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 11.5 GB | |
| Created: | Apr 28, 2025 at 3:08 p.m. (UTC) | |
| Last updated: | Sep 06, 2026 at 3:55 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | Multidimensional Content |
| Sharing Status: | Public |
|---|---|
| Views: | 36 |
| Downloads: | 0 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
The mountains of the northeastern United States exist in a temperate, humid climate in which snowmelt dynamics remain understudied. This study evaluates spatiotemporal snowpack variability under a changing climate using a distributed, physics-based snowpack model. Here, we ran SnowModel for a montane setting surrounding Mount Mansfield, Vermont’s highest peak (1340 m). During winter precipitation events, air temperatures are often near 0°C, causing snow accumulation and melt to be highly sensitive to model parameterizations, elevation, and shifting temperatures. Tests of various model formulations showed that a wet bulb temperature threshold for precipitation phase partitioning and gravity-dominated liquid water percolation reduced model error most effectively in this unique snowpack and climate. Using the optimized model framework, the average percent bias of snow depth and snow water equivalent (SWE) improved by 33% and 75%, respectively. We also assessed the effects of changing weather patterns, simulated by perturbations in temperature and precipitation model forcings. We show middle elevations (700-900 m) to be the most sensitive to these changes, with over a 70% mean decrease in SWE in the lowest temperature increase scenario. Incremental changes in temperature caused increased midwinter melt, including the emergence of new high-runoff snowmelt pulses such as one event, where a +3.3°C increase in temperature resulted in a spike of 40 mm of surface water input from the snowpack at mid-elevations. An improved knowledge of the complexity of regional snowpack heterogeneity and snowmelt dynamics is critical for understanding flood forecasting, hydrologic management, winter recreation, and ecosystem health under a changing climate.
Subject Keywords
Coverage
Spatial
Temporal
| Start Date: | |
|---|---|
| End Date: |
Content
Data Services
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| Cold Regions Research Engineering Lab | None | W913E522C0003 |
| United States Geological Survey | Water Mission Area Snow Hydrology Research Project | None |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment