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.

Increasing the Spatial Resolution of Snow Hydrology Data and Augmenting Existing Hydrology Monitoring Networks Using Low-cost Snow Sensing Stations

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 16.9 MB
Created:	Apr 17, 2025 at 8:58 p.m. (UTC)
Last updated:	Sep 11, 2025 at 7:46 a.m. (UTC)
Citation:	See how to cite this resource
Content types:	CSV Content

Sharing Status:	Public
Views:	234
Downloads:	0
+1 Votes:	Be the first one to this.
Comments:	No comments (yet)

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 two papers and a master's thesis 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

Deleting all keywords will set the resource sharing status to private.

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Tony Grove Ranger Station

Longitude

-111.5683°

Latitude

41.8854°

Temporal

Start Date:
End Date:

Content

Learn more about the BagIt download

Select a file to see file type metadata.

readme.md

Content of this Resource

This resource contains the following structure:

Data Files

/Data/ - This folder contains the data collected by the snow sensing stations along with supporting data from the co-located SNOTEL station.
/Data/raw/ - This folder contains the raw data files recorded on the dataloggers at the snow sensing stations.
/Data/compiled/ - This folder contains compiled data files for each of the snow sensing stations generated by aggregating data from all of the files in the "raw" data folder.
/Data/densities.csv - This file contains the manually measured snow density values for each snow sensing station along with daily snow density and snow water equivalent data for the Tony Grove RS SNOTEL station.
/Data/SNOTEL_1113_WATERYEAR_2025_HOURLY_SNOWDEPTH.csv - This file contains hourly snow depth data for the Tony Grove RS SNOTEL station as downloaded from the SNOTEL station website.
/Data/SNOTEL_1113_WATERYEAR_2025_HOURLY_SWE.csv - This file contains hourly snow water equivalent data for the Tony Grove RS SNOTEL station as downloaded from the SNOTEL station website.

Code Files

/Code/ - This folder contains the code used to generate the plots and analysis for two papers that have been submitted using data from the snow sensing stations
/Code/Snow_Sensing_Paper - This folder contains the code to generate the figures contained within a paper submitted for publication in the Sensors journal.
/Code/Snow_Water_Equivalent_Paper - This folder contains the code used to generate figures contained within a paper submitted for publication in the Journal of the American Water Resources Association (JAWRA).

How to Use the Files in this HydroShare Resource

To run the code in the code folder in this resource do the following:

Download the Python files from the code folder.
Place the Python files you want to run in a folder on your hard drive. We have separated the Python files into two folders within the HydroShare resource to make it clear which Python files go with which paper. However, to run the Python scripts, you should put them all in one folder after downloading them.
Download the "Data" folder.
Place the "Data" folder inside the folder that contains the Python scripts you want to run. The Python scripts assume a relative path to a Data folder located in the same directory from which the Python script is being executed. Alternatively, you could modify the data path in each Python script to point to wherever you put the "Data" folder on your hard drive.
Execute the Python scripts.

Python and Python Package Versions

The Python scripts in this resource were developed and tested with the following versions of Python and dependencies:

Python 3.12 or 3.13
Pandas 2.3.2
Matplotlib 3.10.5
numpy 2.3.2
scipy 1.15.3
statsmodels 0.14.5

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
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

How to Cite

Dority, B., J. S. Horsburgh (2025). Increasing the Spatial Resolution of Snow Hydrology Data and Augmenting Existing Hydrology Monitoring Networks Using Low-cost Snow Sensing Stations, HydroShare, http://www.hydroshare.org/resource/c6a97963db734091a4ad22602c9cdd57

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

Comments

There are currently no comments