On this panel, you can decide the handling of the tropospheric delay during processing.
VMF3: use ray-traced zhd from the Vienna Mapping Function 3. Check [Landskron and Böhm, 2018] and https://vmf.geo.tuwien.ac.at/
Tropo file: use zhd from IGS products (works only for zhd+zwd together)
p(GPT3) + Saastamoinen: insert pressure from the empirical troposphere model Global Pressure and Temperature 3 [Landskron and Böhm, 2018] into the formula by Saastamoinen (1972)
p(in situ) + Saastamoinen: enter pressure measured at the site and insert it into the formula by Saastamoinen (1972)
no: no a priori zenith hydrostatic delay is considered
VMF3: use ray-traced zwd from the Vienna Mapping Function 3. Check [Landskron and Böhm, 2018] and https://vmf.geo.tuwien.ac.at/
Tropo File: use zwd from IGS products (works only for zhd+zwd together)
p(GPT3) + Askne: Use relative humidity and temperature from the GPT3 [Landskron and Böhm, 2018] and insert it into the formula by Askne and Nordius (1987)
p(in situ) + Askne: Use values for relative humidity and temperature measured at the station and insert it into the formula by Askne and Nordius (1987)
no: no a priori zenith wet delay
VMF3: raPPPid applies the discrete Vienna Mapping Function 3. Check [Landskron and Böhm, 2018] and https://vmf.geo.tuwien.ac.at/
GPT3: raPPPid applies the empirical troposphere model Global Pressure and Temperature 3. Check [Landskron and Böhm, 2018] and https://vmf.geo.tuwien.ac.at/
GRAD: VMF3 gradients
GPT3: GPT3 gradients
no: no gradients
Estimate ZWD from minute: You can start estimating the after a specific time [minutes]. If you are using a highly-accurate troposphere model, this might reduce the convergence time. However, since zwd is usually an element of uncertainty, it is typically estimated from the beginning of the processing in addition to the specified a priori value.
Jump to Table of Content