PAMTRA (Pas­si­ve and Ac­tive Mi­cro­wa­ve TRAns­fer model )

Simulated device: Radars and radiometers in the microwave region (1-800 GHz)

Contact: (within HD(CP)²) Emiliano Orlandi (eorlandi@meteo.uni-koeln.de)

Output parameter

Polarized brightness temperature [K], radar reflectivity [dBZ], Doppler velocity [m/s], Atmospheric attenuation [dBZ], radar spectral width [m/s], normalized radar 3rd and 4th moment [#]

Technical specification

Column or 3D? column based
Operation on model time step? yes
Required libraries NetCDF, Liblapack, DFFTpack
Programming language Fortran, optional Python wrapper
If online, is it modular? offline
Ground-based or space-borne? Ground and satellite based


Minimum set of physical quantities:

  •  1D - Profiles of: temperature, pressure, altitude, water vapor mixing ratio, hydrometeor mass mixing ratio and/or number concentration and/or effective radius
  • 0D - Ground temperature, latitude and longitude, date and time
  • External: hydrometeor mass-size relation, area-size relation and ice scattering model (Mie or Tmatrix) can be specified by the user
  • Drop-size distribution can be modeled as monodisperse, exponential, log-normal, gamma distributions depending on the assumption of the meteorological model. Or input directly to the RTM model (for bin-microphysical models).

Need for a special grid?

  •  column based, no grid

Are parameters given via namelist or have to be coded?

  • All the parameters are given via namelist. No need to recompile the code when options are changed.

Are there special requirements to the input quantities?

  •  should be instantaneous

Documentation: User guide is under development.

Models for application: offline with COSMO, MESO-NH and WRF output

Suitable for MESSy?: to be tested

Format of input data: NetCDF, ASCII

Format of output data:  NetCDF

Computational costs: Strongly varying, depending on assumption, number of defined hydrometeors, number of bin for drop-size-distribution discretization and number of atmospheric layers. Estimates for one column and one frequency run on one CPU:

  • clear sky: < 1s
  • cloudy: Mie scattering: < 1 min; Tmatrix scattering: < 5 min



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