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Increasing the Spatial Resolution of Snow Hydrology Data and Augmenting Existing Hydrology Monitoring Networks Using Low-cost Snow Sensing Stations
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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 8.8 MB | |
| Created: | Apr 17, 2025 at 8:58 p.m. (UTC) | |
| Last updated: | May 07, 2025 at 8:45 p.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 23 |
| Downloads: | 0 |
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Abstract
The data collected in this resource was collected as part of the research efforts of Braedon Dority and Jeff Horsburgh as part of the CIROH project: Advancing Snow Observation Systems to Improve Operational Streamflow Prediction Capabilities. The focus of this dataset is on low-cost snow stations installed near the Tony Grove Ranger Station up Logan Canyon in Northern Utah. These stations were being prototyped while in use for the 2023-2024 and 2024-2025 winters, collecting data on snow depth, shortwave and longwave radiation, air temperature, soil temperature, and soil volumetric water content.
Subject Keywords
Coverage
Spatial
Temporal
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Content
readme.md
How to use the files in this HydroShare resource
Download and extract the ZIP file. Within the folder there will be a Python file that can be used to look at the data found in the "raw" folder. The "raw" directory will contain two folders and a file. The two folders are raw data for each of the two field seasons data was collected in. Within each of those are all the individual files collected over the each season and a folder where all the data has been compiled into singular data files by station. The "densities" file found in the "raw" folder contains manual density measurements made at each of the five sites with the associated SNOTEL measurements.
The Python file currently contains code for looking at the 2024-2025 season. Adjustments would need to be made to look at the first field season.
Related Resources
| This resource has a related resource in another format | Horsburgh, J., R. Johnson, and B. Dority. 2024. “CIROH-Snow.” Accessed January 12, 2025. https://github.com/CIROH-Snow/snow_sensing. |
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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