# 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`.