NAME

       mintpy-iono_tec - Calculate ionospheric ramps using Global Iono Maps (GIM) from GNSS-based
       TEC products.

DESCRIPTION

       usage: iono_tec.py [-h] -g GEOM_FILE [-s TEC_SOL] [--tec-dir TEC_DIR]

              [--update] [--iono-file IONO_FILE]  [-i  {nearest,linear3d,linear2d}]  [--norotate]
              [--ratio SUB_TEC_RATIO] dis_file

       Calculate ionospheric ramps using Global Iono Maps (GIM) from GNSS-based TEC products.

   positional arguments:
       dis_file
              displacement time-series HDF5 file, i.e. timeseries.h5

   options:
       -h, --help
              show this help message and exit

       -g GEOM_FILE, --geomtry GEOM_FILE
              geometry file including incidence/azimuthAngle.

       -s TEC_SOL, --sol TEC_SOL, --tec-sol TEC_SOL
              TEC solution center (default: jpl).

       jpl - JPL (Final)
              igs - IGS (Final) cod - CODE (Final)

       Check more at:
              https://cddis.nasa.gov/Data_and_Derived_Products/GNSS/atmospheric_products.html

       --tec-dir TEC_DIR
              directory of downloaded GNSS TEC data (default: ${WEATHER_DIR}/GIM_IGS).

       --update
              Enable update mode.

       --iono-file IONO_FILE
              calculated LOS iono ramp time-series file.

   GIM extraction:
              Parameters  to  extract  TEC  at  point  of  interest  from  GIM (mainly for impact
              demonstration).

       -i {nearest,linear3d,linear2d}, --interp {nearest,linear3d,linear2d}
              Interpolation method to grab the GIM value  at  the  point  of  interest  (default:
              linear3d).

       --norotate
              Rotate TEC maps along the longitude direction to compensate the correlation between
              the ionosphere and the Sun's position, as suggested by Schaer et al.  (1998).   For
              'interp_method == linear3d' ONLY. (default: True).

       --ratio SUB_TEC_RATIO
              Ratio  to  calculate the sub-orbital TEC from the total TEC.  Set to "adaptive" for
              seasonally adaptive scaling.

       Based on equation (14) from Yunjun et al. (2022).
              Set to "a value" within  (0,1]  for  a  fixed  scaling  E.g.  0.75  for  TerraSAR-X
              (Gisinger et al., 2021)

       0.90 for Sentinel-1 (Gisinger et al., 2021)
              0.69 for Sentinel-1 (Yunjun et al., 2022)

   references:
              Yunjun,  Z.,  Fattahi,  H.,  Pi,  X.,  Rosen, P., Simons, M., Agram, P., & Aoki, Y.
              (2022). Range Geolocation Accuracy

              of C/L-band SAR and its Implications for  Operational  Stack  Coregistration.  IEEE
              Trans. Geosci. Remote Sens.

              Schaer,  S.,  Gurtner, W., & Feltens, J. (1998). IONEX: The ionosphere map exchange
              format version 1.1.

              Paper presented at the Proceedings of the  IGS  AC  workshop,  Darmstadt,  Germany,
              Darmstadt, Germany.

   example:
              iono_tec.py  timeseriesRg.h5 -g inputs/geometryRadar.h5 iono_tec.py timeseriesRg.h5
              -g inputs/geometryRadar.h5 -s cod