Scattering and propagation of polarimetric radar signals in storms and clouds

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The introduction of differential reflectivity (Zdr) and propagation differential phase (Πdp) was originally intended for improving radar estimates of rainfall rate. These parameters together with the effective reflectivity factor (Zh) proved to be very useful for other applications as well. They have been shown to produce significant improvements over conventional single polarization radars in discriminating liquid and ice phase hydrometeors and, with the aid of several other Polarimetrie parameters (linear depolarization ratio and copolar correlation coefficient), for classifying different hydrometeor types. Radar techniques developed for these purposes are being used in research applications and will soon become operational tools. The classification of ice phase hydrometeors and the quantitative estimation of their bulk parameters (e.g., median size, ice mass content, etc.) are necessary for better understanding storms and clouds. As methodologies are developed for extracting more information about hydrometeors using Polarimetric radars, it becomes increasingly important to model the hydrometeors more accurately. Their shape, size, fall behavior, and composition must be represented with sufficient detail, capturing the dominant features that influence the measured radar parameters. This paper reviews developments in hydrometeor modeling for dual-polarization radar remote sensing applications. The use of these modeling results in various applications such as rainfall rate estimation and hydrometeor classification are illustrated with the aid of experimental measurements. The first application of the "self- consistency" principle is discussed using dual-frequency Polarimetric radar parameters (S-band Zh and Zdr with X-band Zh and specific attenuation Ah).

    Original languageEnglish (US)
    Title of host publication2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
    Number of pages1
    DOIs
    StatePublished - Dec 1 2006
    Event2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS - Denver, CO, United States
    Duration: Jul 31 2006Aug 4 2006

    Other

    Other2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
    CountryUnited States
    CityDenver, CO
    Period7/31/068/4/06

    Fingerprint

    Radar
    scattering
    radar
    Scattering
    Ice
    ice
    reflectivity
    Rain
    polarization
    Polarization
    rainfall
    Depolarization
    modeling
    Remote sensing
    parameter
    remote sensing
    liquid
    methodology
    Liquids
    Chemical analysis

    All Science Journal Classification (ASJC) codes

    • Software
    • Geology

    Cite this

    Aydin, K. (2006). Scattering and propagation of polarimetric radar signals in storms and clouds. In 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS [4241579] https://doi.org/10.1109/IGARSS.2006.432
    Aydin, Kultegin. / Scattering and propagation of polarimetric radar signals in storms and clouds. 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. 2006.
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    abstract = "The introduction of differential reflectivity (Zdr) and propagation differential phase (Πdp) was originally intended for improving radar estimates of rainfall rate. These parameters together with the effective reflectivity factor (Zh) proved to be very useful for other applications as well. They have been shown to produce significant improvements over conventional single polarization radars in discriminating liquid and ice phase hydrometeors and, with the aid of several other Polarimetrie parameters (linear depolarization ratio and copolar correlation coefficient), for classifying different hydrometeor types. Radar techniques developed for these purposes are being used in research applications and will soon become operational tools. The classification of ice phase hydrometeors and the quantitative estimation of their bulk parameters (e.g., median size, ice mass content, etc.) are necessary for better understanding storms and clouds. As methodologies are developed for extracting more information about hydrometeors using Polarimetric radars, it becomes increasingly important to model the hydrometeors more accurately. Their shape, size, fall behavior, and composition must be represented with sufficient detail, capturing the dominant features that influence the measured radar parameters. This paper reviews developments in hydrometeor modeling for dual-polarization radar remote sensing applications. The use of these modeling results in various applications such as rainfall rate estimation and hydrometeor classification are illustrated with the aid of experimental measurements. The first application of the {"}self- consistency{"} principle is discussed using dual-frequency Polarimetric radar parameters (S-band Zh and Zdr with X-band Zh and specific attenuation Ah).",
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    Aydin, K 2006, Scattering and propagation of polarimetric radar signals in storms and clouds. in 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS., 4241579, 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Denver, CO, United States, 7/31/06. https://doi.org/10.1109/IGARSS.2006.432

    Scattering and propagation of polarimetric radar signals in storms and clouds. / Aydin, Kultegin.

    2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. 2006. 4241579.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Aydin K. Scattering and propagation of polarimetric radar signals in storms and clouds. In 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. 2006. 4241579 https://doi.org/10.1109/IGARSS.2006.432