Difference between revisions of "RadxPid fuzzylogic"
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=== '''Overview''' === | === '''Overview''' === | ||
| − | + | RadxPid uses polarimetric radar data to provide a best estimate of the dominant particle type at every radar gate. The categorization is done by using a fuzzy logic algorithm, which describes the likelihood that different values of polarimetric variables are caused by different particles. RadxPid uses the method described by [http://wiki.lrose.net/index.php/RadxPid_fuzzylogic#References Vivekanadan et al. (1999)] and this page will highlight the most important concepts in the algorithm. | |
===== '''Fuzzy Logic Basics''' ===== | ===== '''Fuzzy Logic Basics''' ===== | ||
| − | + | As described in [http://wiki.lrose.net/index.php/RadxPid_fuzzylogic#References Vivekanadan et al. (1999)], fuzzy logic methods are similar to probabilistic methods in that they describe uncertainty on a scale from 0 to 1, except fuzzy logic categories do not have hard boundaries, instead reflection the transition of polarimetric variables between different particle types. | |
===== '''References''' ===== | ===== '''References''' ===== | ||
Vivekanandan, J., Zrnic, D. S., Ellis, S. M., Oye, R., Ryzhkov, A. V., & Straka, J. (1999). Cloud Microphysics Retrieval Using S-Band Dual-Polarization Radar Measurements, Bulletin of the American Meteorological Society, 80(3), 381-388. [https://doi.org/10.1175/1520-0477(1999)080%3C0381:CMRUSB%3E2.0.CO;2 Link] | Vivekanandan, J., Zrnic, D. S., Ellis, S. M., Oye, R., Ryzhkov, A. V., & Straka, J. (1999). Cloud Microphysics Retrieval Using S-Band Dual-Polarization Radar Measurements, Bulletin of the American Meteorological Society, 80(3), 381-388. [https://doi.org/10.1175/1520-0477(1999)080%3C0381:CMRUSB%3E2.0.CO;2 Link] | ||
Revision as of 19:21, 5 February 2021
Overview
RadxPid uses polarimetric radar data to provide a best estimate of the dominant particle type at every radar gate. The categorization is done by using a fuzzy logic algorithm, which describes the likelihood that different values of polarimetric variables are caused by different particles. RadxPid uses the method described by Vivekanadan et al. (1999) and this page will highlight the most important concepts in the algorithm.
Fuzzy Logic Basics
As described in Vivekanadan et al. (1999), fuzzy logic methods are similar to probabilistic methods in that they describe uncertainty on a scale from 0 to 1, except fuzzy logic categories do not have hard boundaries, instead reflection the transition of polarimetric variables between different particle types.
References
Vivekanandan, J., Zrnic, D. S., Ellis, S. M., Oye, R., Ryzhkov, A. V., & Straka, J. (1999). Cloud Microphysics Retrieval Using S-Band Dual-Polarization Radar Measurements, Bulletin of the American Meteorological Society, 80(3), 381-388. Link