Practical Considerations with Radar Data Height and Great Circle Distance Determination

Mark A. Askelson Department of Atmospheric Sciences, University of North Dakota, Grand Forks, North Dakota

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Chris J. Theisen Northern Plains Unmanned Aircraft Systems Test Site, Grand Forks, North Dakota

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Randall S. Johnson Department of Atmospheric Sciences, University of North Dakota, Grand Forks, North Dakota

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Abstract

Owing to their ease of use, “simplified” propagation models, like the equivalent Earth model, are commonly employed to determine radar data locations. With the assumption that electromagnetic rays follow paths of constant curvature, which is a fundamental assumption in the equivalent Earth model, propagation equations that do not depend upon the spatial transformation that is utilized in the equivalent Earth model are derived. This set of equations provides the true constant curvature solution and is less complicated, conceptually, as it does not depend upon a spatial transformation. Moreover, with the assumption of constant curvature, the relations derived herein arise naturally from ray tracing relations. Tests show that this new set of equations is more accurate than the equivalent Earth equations for a “typical” propagation environment in which the index of refraction n decreases linearly at the rate dn/dh = −1/4a, where h is height above ground and a is Earth’s radius. Moreover, this new set of equations performs better than the equivalent Earth equations for an exponential reference atmosphere, which provides a very accurate representation of the average atmospheric n structure in the United States. However, with this n profile the equations derived herein, the equivalent Earth equations, and the relation associated with a flat Earth constant curvature model produce relatively large height errors at low elevations and large ranges. Taylor series approximations of the new equations are examined. While a second-order Taylor series approximation for height performs well under “typical” propagation conditions, a convenient Taylor series approximation for great circle distance was not obtained.

© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Mark A. Askelson, askelson@aero.und.edu

Abstract

Owing to their ease of use, “simplified” propagation models, like the equivalent Earth model, are commonly employed to determine radar data locations. With the assumption that electromagnetic rays follow paths of constant curvature, which is a fundamental assumption in the equivalent Earth model, propagation equations that do not depend upon the spatial transformation that is utilized in the equivalent Earth model are derived. This set of equations provides the true constant curvature solution and is less complicated, conceptually, as it does not depend upon a spatial transformation. Moreover, with the assumption of constant curvature, the relations derived herein arise naturally from ray tracing relations. Tests show that this new set of equations is more accurate than the equivalent Earth equations for a “typical” propagation environment in which the index of refraction n decreases linearly at the rate dn/dh = −1/4a, where h is height above ground and a is Earth’s radius. Moreover, this new set of equations performs better than the equivalent Earth equations for an exponential reference atmosphere, which provides a very accurate representation of the average atmospheric n structure in the United States. However, with this n profile the equations derived herein, the equivalent Earth equations, and the relation associated with a flat Earth constant curvature model produce relatively large height errors at low elevations and large ranges. Taylor series approximations of the new equations are examined. While a second-order Taylor series approximation for height performs well under “typical” propagation conditions, a convenient Taylor series approximation for great circle distance was not obtained.

© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Mark A. Askelson, askelson@aero.und.edu
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  • Appleton, E., 1946: The influence of tropospheric conditions on ultra-short-wave propagation. Meteorological Factors in Radio-Wave Propagation, Physical Society and Royal Meteorological Society, 17 pp.

    • Crossref
    • Export Citation
  • Bauer, J. R., W. C. Mason, and F. A. Wilson, 1958: Radio refraction in a cool exponential atmosphere, MIT Lincoln Laboratory Tech. Rep. 186, 29 pp.

  • Bean, B. R., and E. J. Dutton, 1966: Radio Meteorology. National Bureau of Standards Monogr., No. 92, U.S. Government Printing Office, 435 pp., https://doi.org/10.6028/nbs.mono.92.

    • Crossref
    • Export Citation
  • Bent, A. E., P. M. Austin, and M. L. Stone, 1950: Beam width and pulse length in radar weather detection, MIT Dept. of Meteorology Tech. Rep. 12, 61 pp.

  • Blake, L. V., 1968: Ray height computation for a continuous nonlinear atmospheric refractive-index profile. Radio Sci., 3, 8592, https://doi.org/10.1002/rds19683185.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Born, M., and E. Wolf, 1999: Principles of Optics. 7th ed. Cambridge University Press, 986 pp.

  • Coleman, C. J., 2004: On the generalization of Snell’s law. Radio Sci., 39, RS2005, https://doi.org/10.1029/2003RS003002.

  • Davies-Jones, R., V. T. Wood, and M. A. Askelson, 2019: Ray curvature on a flat Earth for computing virtual WSR-88D signatures of simulated supercell storms. Mon. Wea. Rev., 147, 10651075, https://doi.org/10.1175/MWR-D-18-0356.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Doviak, R. J., and D. S. Zrnić, 1993: Doppler Radar and Weather Observations. 2nd Ed. Academic Press, 562 pp.

  • Gao, J., K. Brewster, and M. Xue, 2006: A comparison of the radar ray path equations and approximations for use in radar data assimilation. Adv. Atmos. Sci., 23, 190198, https://doi.org/10.1007/s00376-006-0190-3.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gunashekar, S. D., E. M. Warrington, D. R. Siddle, and P. Valtr, 2007: Signal strength variations at 2 GHz for three sea paths in the British Channel Islands: Detailed discussion and propagation modeling. Radio Sci., 42, RS4020, https://doi.org/10.1029/2006RS003617.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Harrington, R. F., 1993: Field Computation by Moment Methods. IEEE/OUP Series on Electromagnetic Wave Theory, IEEE Press, 240 pp.

  • Hartree, D. R., J. G. L. Michel, and P. Nicolson, 1946: Practical methods for the solution of the equations of tropospheric refraction. Meteorological Factors in Radio-Wave Propagation, Physical Society and Royal Meteorological Society, 127–168.

  • Johnson, R. S., 2010: Using electromagnetic ray tracing to develop a refractivity climatology for eastern North Dakota. M.S. thesis, Dept. of Atmospheric Sciences, University of North Dakota, 206 pp.

  • Kursinski, E. R., G. A. Hajj, S. S. Leroy, and B. Herman, 2000: The GPS radio occultation technique. Terr. Atmos. Ocean. Sci., 11, 53114, https://doi.org/10.3319/TAO.2000.11.1.53(COSMIC).

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Levis, C. A., J. T. Johnson, and F. L. Teixeira, 2010: Radiowave Propagation: Physics and Applications. John Wiley and Sons, 301 pp.

  • Levy, M., 2000: Parabolic Equation Methods for Electromagnetic Wave Propagation. Electromagnetic Wave Series, Vol. 45, Institution of Electrical Engineers, 347 pp.

    • Crossref
    • Export Citation
  • Millington, G., 1957: The concept of the equivalent radius of the Earth in tropospheric propagation. Marconi Rev., 20, 7993.

  • NIMA, 2000: Department of Defense World Geodetic System 1984. NIMA Tech. Rep. 8350.2, 3rd ed., 175 pp, https://earth-info.nga.mil/GandG/publications/tr8350.2/wgs84fin.pdf.

  • Polyanin, A. D., and V. F. Zaitsev, 2003: Handbook of Exact Solutions for Ordinary Differential Equations. 2nd ed. Chapman and Hall/CRC, 787 pp.

  • Press, W. H., S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, 1992: Numerical Recipes in Fortran 77: The Art of Scientific Computing. 2nd ed. Vol. 1, Fortran Numerical Recipes, Cambridge University Press, 933 pp.

  • Schelleng, J. C., C. R. Burrows, and E. B. Ferrell, 1933: Ultra-short-wave propagation. Proc. Inst. Radio Engr., 21, 427463, https://doi.org/10.1109/JRPROC.1933.227639.

    • Search Google Scholar
    • Export Citation
  • Stratton, J. A., 1941: Electromagnetic Theory. McGraw-Hill, 615 pp.

  • Taflove, A., and S. C. Hagness, 2005: Computational Electrodynamics: The Finite-Difference Time-Domain Method. 3rd ed. Artech House Publishers, 1038 pp.

    • Crossref
    • Export Citation
  • Tseng, W.-K., and H.-S. Lee, 2010: Navigation on a great ellipse. J. Mar. Sci. Technol., 18, 369375.

  • Wolfram Research, 2011: Mathematica Version 8.0.1.0. Wolfram Research.

  • Zeng, Y., U. Blahak, M. Neuper, and D. Jerger, 2014: Radar beam tracing methods based on atmospheric refractive index. J. Atmos. Oceanic Technol., 31, 26502670, https://doi.org/10.1175/JTECH-D-13-00152.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
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