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Increasing the Spatial and Temporal Resolution of Snow Water Equivalent Estimates Using SNOTEL Data and Low-cost Sensing
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| Type: | Resource | |
| Storage: | The size of this resource is 38.5 MB | |
| Created: | Apr 17, 2025 at 8:58 p.m. (UTC) | |
| Last updated: | Jun 18, 2026 at 10:34 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Public |
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| Views: | 1357 |
| Downloads: | 118 |
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Abstract
This resource contains snow hydrology data collected at monitoring sites near the Tony Grove Ranger Station SNOTEL site in Northern Utah, USA. The data were collected as part of a research project titled: Advancing Snow Observation Systems to Improve Operational Streamflow Prediction Capabilities. The focus of this dataset is on low-cost snow stations installed within the Logan River Observatory. These stations were prototyped and deployed during the 2023-2024 and 2024-2025 winters, collecting data for snow depth, shortwave and longwave radiation, air temperature, soil temperature, and soil volumetric water content. Included code in this resource is the source code used to generate the figures and analyses for a paper submitted for publication in the Journal of the American Water Resources Association (JAWRA) based on the data collected. This research was supported by the Cooperative Institute for Research to Operations in Hydrology (CIROH) with joint funding under award NA22NWS4320003 from the National Oceanic and Atmospheric Administration (NOAA) Cooperative Institute Program and the U.S. Geological Survey. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the opinions of NOAA.
Subject Keywords
Coverage
Spatial
Temporal
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Related Resources
| This resource has a related resource in another format | Horsburgh, J. and B. Dority. 2024. “CIROH-Snow.” Accessed January 12, 2025. https://github.com/CIROH-Snow/snow_sensing. |
| This resource is referenced by | Dority, Braedon, "Increasing the Spatial Resolution of Snow Hydrology Data and Augmenting Existing Hydrology Monitoring Networks Using Low-Cost Snow Sensing Stations" (2025). All Graduate Theses and Dissertations, Fall 2023 to Present. 488. https://digitalcommons.usu.edu/etd2023/488 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| National Oceanic and Atmospheric Administration (NOAA) | CIROH: Advancing Snow Observation Systems to Improve Operational Streamflow Prediction Capabilities | NA22NWS4320003 |
| United States Geological Survey (USGS) | CIROH: Advancing Snow Observation Systems to Improve Operational Streamflow Prediction Capabilities | None |
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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