snotelprocessr was created to download, process, and analyze large amounts of SNOTEL data at once. The scripts and functions included can be used for a single station, or hundreds at once. Within the “examples” folder you can find example .R scripts for various processing and analysis workflows, in addition to the snotelprocessr_workflow_demo.Rmd, which will walk you through downloading raw data and processing it for future analyses. The "R" folder contains all necessary functions for running through analysis and data downloading workflows.
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extract_snotel_peak_swe.R
- Extract peak SWE day of year (DOY) from your processed SNOTEL data. Returns a CSV file with peak SWE DOY for each year/station
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extract_snotel_soilmoisture_pulse.R
- Extract soil moisture pulse DOY from your processed SNOTEL data. Returns a CSV file with soil moisture DOY for each year/station
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export_snotel_soilmoisture_plots.R
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Create and export faceted plots for your processed SNOTEL data. These plots will show soil moisture curves with plotted pulse dates, in addition to SWE and derivative curves for context:
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compute_snotel_snowfree.R
- Computes snow presence and snow-free DOY based on observations of snow depth.
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compute_50p_peakSWE_window.R
- Computes 50% peak SWE DOY for each year (in other words- what DOYs the SWE curve cross 50% of peak SWE)
You can install the latest version (1.0.0) of snotelprocessr like this:
devtools::install_github("allydetre/snotelprocessr", build_vignettes = TRUE)
library("snotelprocessr")Feel to free to reach out to me with any questions/comments at a.detre@colostate.edu!
Ally Detre