https://github.com/khufkens/snotel_reports
SNOTEL reports - a synthesis
https://github.com/khufkens/snotel_reports
climate-data climate-science hydrological-modelling hydrology snow snowpack water
Last synced: 2 months ago
JSON representation
SNOTEL reports - a synthesis
- Host: GitHub
- URL: https://github.com/khufkens/snotel_reports
- Owner: khufkens
- License: mit
- Created: 2025-03-13T09:34:35.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-03-13T10:20:06.000Z (2 months ago)
- Last Synced: 2025-03-13T11:22:36.417Z (2 months ago)
- Topics: climate-data, climate-science, hydrological-modelling, hydrology, snow, snowpack, water
- Language: R
- Homepage:
- Size: 42.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# SNOTEL reports
This tiny script grabs USDA SNOTEL reports
for safekeeping and re-analysis. SNOTEL monitors
snow and water across the (western) US.https://www.nrcs.usda.gov/resources/data-and-reports/snow-and-water-interactive-map
The data downloaded are the historical reports
summarizing daily values of snow pack and additional
metrics. Reports lag real-time values with a couple
of weeks.The script generates one big table with 12M rows and 19
columns (variables). Data can be post-processed for both
the timing of snow accummulation and amount using the
{snotelr} R package. The data included in this repository
as a compressed `snotel_reports.rds` file was last updated
12 Mar. 2025. Use the R `readRDS()` function to access the data.```r
snotel_data <- readRDS("snotel_reports.rds")
```> [!NOTE]
> Please cite the data from the USDA the National Water and Climate Center as:
>
> United States, US Department of Agriculture, Natural Resource Conservation Service, National Water and Climate Center. (2024, February 29). Air and Water Database. Water and Climate Information System. https://nwcc-apps.sc.egov.usda.gov/
>
> Schaefer, G. L., & Paetzold, R. F. (2001). SNOTEL (SNOwpack TELemetry) and SCAN (soil climate analysis network). Automated weather stations for applications in agriculture and water resources management: current use and future perspectives, 1074, 187-194.