# Mitchell (Multi-GNSS)
## metadata
**Station Name:** mchl (mchl00aus)
**Location:** Walhallow, Queensland, Australia
**Ellipsoidal Coordinates:**
- Latitude: -26.359 degrees
- Longitude: 148.145 degrees
- Height: 534.591 meters
[Station Page at Nevada Geodetic Laboratory](http://geodesy.unr.edu/NGLStationPages/stations/MCHL.sta)
**Archives:** CDDIS, BKG-IGS, GA
## Step 1: GNSS-IR
Generate SNR files for all four constellations over the three-year window. I use `-orb gnss-gfz`, which includes BeiDou, and `-par 10` to use 10 parallel threads.
rinex2snr mchl00aus 2023 1 -doy_end 365 -year_end 2025 -archive ga -orb gnss-gfz -par 10
Set up analysis parameters with all GNSS signals enabled:
gnssir_input mchl -fr 1 20 5 101 102 201 205 206 207 208 301 302 305 306 307 308
Run `gnssir` across the window:
gnssir mchl 2023 1 -doy_end 365 -year_end 2025 -par 10
## Step 2: Soil Moisture
Build `tracks.json` and `vwc_tracks.json` from the run's results:
vwc_input mchl 2023 -year_end 2025
Estimate phase:
phase mchl 2023 1 -doy_end 365 -year_end 2025 -par 10
Run `vwc`. The code loops over every frequency in `vwc_tracks.json` and produces a VWC series per constellation. Plots are suppressed when run with multiple frequencies:
vwc mchl 2023 -year_end 2025
Run for a single frequency to show plots:
vwc mchl 2023 -year_end 2025 -fr 101
## Results
Final VWC, one example frequency per constellation (clockwise from top-left: GPS L5, GLONASS L2, Galileo L5, BeiDou L2). GPS L2C (blue) is overlaid on every panel as a reference:
Per-frequency output files land in `$REFL_CODE/Files/mchl/vwc_outputs//mchl_vwc__24hr+0.txt`.