https://github.com/bgin/pamtra

Passive and Active Microwave TRAnsfer model
https://github.com/bgin/pamtra

Last synced: about 2 months ago
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Passive and Active Microwave TRAnsfer model

• Host: GitHub
• URL: https://github.com/bgin/pamtra
• Owner: bgin
• Created: 2017-05-31T11:33:26.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2016-02-12T12:54:18.000Z (almost 9 years ago)
• Last Synced: 2023-03-05T19:43:09.477Z (almost 2 years ago)
• Language: Fortran
• Size: 53 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readMe.txt

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README

        
Pamtra and pyPamtra have the following options.

Pamtra uses the nml file, pyPamtra the pyPamtra.set dictionary

For Pamtra, define settings in namelist, for pyPamtra, define in nmlSet dictonary

settings:

	write_nc: write results to netcdf file instead of ASCII, pamtra only (bool, default true)

	data_path: path containing the surface reflectivity data etc. (str, default data)

	obs_height=833000. 

	units='T'

	outpol='VH'

	freq_str=''

	file_desc=''

	creator: for netcdf file (str, default "Pamtra user")

	active: calculate Ze and Attenuation (bool, default true)

	passive: calculate TB, thus run RT3 (bool, default true)

	ground_type='S'

	salinity=33.0

	emissivity=0.6

	lgas_extinction=.true.

	gas_mod='R98'

	lhyd_extinction=.true.

	lphase_flag = .true.

radar_simulator

	

	radar_nfft: number of FFT points in the Doppler spectrum [typically 256 or 512] (default 256)

	radar_no_Ave_ number of average spectra for noise variance reduction, typical range [1 150] (default 150)

	radar_max_V:MinimumNyquistVelocity in m/sec (default 7.885)

	radar_min_V:MaximumNyquistVelocity in m/sec (default -7.885)

	radar_turbulence_st: turbulence broadening standard deviation st, typical range [0.1 - 0.4] m/sec (default 0.15)

	radar_pnoise: radar noise in same unit as Ze mm⁶/m³ (default 1.d-3)

	radar_airmotion: is teh air in the radar volume moving vertically? (default  .false.)

	radar_airmotion_model: constant air movmement or non uniform beam filling: linear or step function ["constant","linear","step"] (default  "step")

	radar_airmotion_vmin: for nun uniform beamfilling minimal velocity, also taken for constant air movment(default  -4.d0)

	radar_airmotion_vmax: for nun uniform beamfilling minimal velocity, ignored for constant air movment(default  +4.d0)

	radar_airmotion_linear_steps: no of steps for linear approximation(default 30)

	radar_airmotion_step_vmin: ratio of volume which moves with vmin for step function(default  0.5d0)

	

	models available for fall velocity approximation

	radar_fallVel_cloud: (default "khvorostyanov01_drops")

	radar_fallVel_rain: (default  "khvorostyanov01_drops")

	radar_fallVel_ice: (default "khvorostyanov01_particles")

	radar_fallVel_snow: (default "khvorostyanov01_particles")

	radar_fallVel_graupel: (default "khvorostyanov01_spheres")

	radar_fallVel_hail: (default "khvorostyanov01_spheres")

	radar_aliasing_nyquist_interv: simulate aliasing effects: spectrum is added x time to the left and right.(default  1)

	radar_save_noise_corrected_spectra: for debugging: save the radar spectrum with noise removed (default  .false.)

	radar_use_hildebrand: use hildebrand & sekhon for noise estimation, actually not needed since noise is added artifically (default  .false.)

	radar_min_spectral_snr: threshold for peak detection. if radar_no_Ave >> 150, it can be set to 1.1(default  1.2)

	radar_convolution_fft: use fft for convolution of spectrum. is alomst 10 times faster, but can introduce aretfacts for radars with *extremely* low noise levels or if noise is turned off at all.  (default  .true.)

pyPamtra only in "set" directory :

	freqs: used frequencies for calculations (list, default empty, in Pamtra handled by command line parameter)

	nfreqs: amount of frequencies (int, default 0)

	pyVerbose: Verbosity of the python part (int, default 0)