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PHaRLAP (4.7)

Provision of High-frequency Raytracing LAboratory for Propagation studies

Model Description 

PHaRLAP is a MATLAB toolbox for the study and modelling of the propagation of High Frequency (HF) radio waves in the Earth's ionosphere. It provides 2D and fully magneto-ionic 3D numerical ray tracing (NRT) engines, analytical ray tracing (ART) routines and the necessary supporting routines.

Model Figure(s) :

Model Inputs Description 

UT date and time, frequency, elevation, and azimuth angles of the wave’s starting point, and latitude and longitude of the source location, number of hops, background ionosphere, collision frequency and geomagnetic field.

Model Outputs Description 

Properties of the wave along its path such as group range, phase, attenuation, coordinates of potential reflection from the ionosphere, coordinates of arrival to ground, etc.

Model Caveats 

The numerical ray trace routines require gridded profiles of the Earth's ionosphere and magnetic field. Users supply their own models or employ the International Reference Ionophere and International Geomagnetic Reference Field models supplied with PHaRLAP.

Change Log 

Releases are accessible at:
https://www.dst.defence.gov.au/our-technologies/pharlap-provision-high-frequency-raytracing-laboratory-propagation-studies
Changelog is accessible from within the release

Model Acknowledgement/Publication Policy (if any) 

Please add the following acknowledgement to any published material which
contains results obtained using this toolbox:

"The results published in this paper were obtained using the HF propagation
toolbox, PHaRLAP, created by Dr Manuel Cervera, Defence Science and Technology
Group, Australia (manuel.cervera@dsto.defence.gov.au). This toolbox is 
available by request from its author."

Model Domains:

Global_Ionosphere

Space Weather Impacts:

Ionosphere variability (navigation, communications)

Phenomena :

Variablility_of_Plasma_Density
Equatorial_Anomaly
Traveling_Ionospheric_Disturbances
HF_Signal_Absorption

Simulation Type(s):

Physics-based
Physics-based.Kinetic
Physics-based.MHD

Temporal Dependence Possible? (whether the code results depend on physical time?)

true

Model is available at?

CCMC

Source code of the model is publicly available?

false

CCMC Model Status (e.g. onboarding, use in production, retired, only hosting output, only source is available):

production

Code Language:

FORTRAN 2008, MATLAB, and C

Regions (this is automatically mapped based on model domain):

Contacts :

Manuel.Cervera, ModelDeveloper
Reza.Janalizadeh Choobbasti, ModelHostContact
Jia.Yue, ModelHostContact

Acknowledgement/Institution :

Australian Department of Defence, Defence Science and Technology Group

Relevant Links :

Model Website at the Australian Department of Defence, Defence Science and Technology Group: https://www.dst.defence.gov.au/our-technologies/pharlap-provision-high-frequency-raytracing-laboratory-propagation-studies

Publications :

  • Cervera, M. A., and T. J. Harris (2014), Modeling ionospheric disturbance features in quasi-vertically incident ionograms using 3-D magnetoionic ray tracing and atmospheric gravity waves, J. Geophys. Res. Space Physics, 119, 431–440, doi:10.1002/2013JA019247.
  • Pederick, L. H., and M. A. Cervera (2016), A directional HF noise model: Calibration and validation in the Australian region, Radio Sci., 51, 25–39, doi:10.1002/2015RS005842.
  • Pederick, L. H., and M. A. Cervera (2016), Modeling the interference environment in the HF band, Radio Sci., 51, 82–90, doi:10.1002/2015RS005856.
  • D. B. Francis, M. A. Cervera and G. J. Frazer, "Performance prediction for design of a network of skywave over-the-horizon radars," in IEEE Aerospace and Electronic Systems Magazine, vol. 32, no. 12, pp. 18-28, December 2017, doi: 10.1109/MAES.2017.170056.
  • Cervera, M. A., Francis, D. B., & Frazer, G. J. (2018). Climatological model of over-the-horizon radar. Radio Science, 53, 988–1001. https://doi.org/10.1029/2018RS006607
  • D. J. Edwards, M. A. Cervera and A. D. MacKinnon, "High Frequency Land Backscatter Coefficients Over Northern Australia and the Effects of Various Surface Properties," in IEEE Transactions on Antennas and Propagation, vol. 70, no. 7, pp. 5819-5830, July 2022, doi: 10.1109/TAP.2022.3161534.
  • Edwards D, Cervera M, MacKinnon A. A Comparison of the Barrick and Backscatter Ionogram Methods of Calculating Sea Surface Backscatter Coefficients. Remote Sensing. 2022; 14(9):2139. https://doi.org/10.3390/rs14092139.
  • Edwards D, Cervera M. Seasonal Variation in Land and Sea Surface Backscatter Coefficients at High Frequencies. Remote Sensing. 2022; 14(21):5514. https://doi.org/10.3390/rs14215514.

    • Model Access Information :

    Access URL: https://kauai.ccmc.gsfc.nasa.gov/instantrun/pharlap/
    Access URL Name: Instant Run
    Repository ID: spase://CCMC/Repository/NASA/GSFC/CCMC
    Availability: online
    AccessRights: OPEN
    Format: HTML
    Encoding: None

    Linked to Other Spase Resource(s) (example: another SimulationModel) :

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