Welcome to snotelprocessr!

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.

Included example scripts:

• 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

• 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

• export_snotel_soilmoisture_plots.R

  • 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:

    

• compute_snotel_snowfree.R

  • Computes snow presence and snow-free DOY based on observations of
    snow depth.

• 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)

Installing snotelprocessr

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