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    Dual-Polarization Radar Rainfall Estimation over Tropical Oceans

    Source: Journal of Applied Meteorology and Climatology:;2017:;volume 057:;issue 003::page 755
    Author:
    Thompson, Elizabeth J.
    ,
    Rutledge, Steven A.
    ,
    Dolan, Brenda
    ,
    Thurai, Merhala
    ,
    Chandrasekar, V.
    DOI: 10.1175/JAMC-D-17-0160.1
    Publisher: American Meteorological Society
    Abstract: AbstractDual-polarization radar rainfall estimation relationships have been extensively tested in continental and subtropical coastal rain regimes, with little testing over tropical oceans where the majority of rain on Earth occurs. A 1.5-yr Indo-Pacific warm pool disdrometer dataset was used to quantify the impacts of tropical oceanic drop-size distribution (DSD) variability on dual-polarization radar variables and their resulting utility for rainfall estimation. Variables that were analyzed include differential reflectivity Zdr; specific differential phase Kdp; reflectivity Zh; and specific attenuation Ah. When compared with continental or coastal convection, tropical oceanic Zdr and Kdp values were more often of low magnitude (<0.5 dB, <0.3° km?1) and Zdr was lower for a given Kdp or Zh, consistent with observations of tropical oceanic DSDs being dominated by numerous, small, less-oblate drops. New X-, C-, and S-band R estimators were derived: R(Kdp), R(Ah), R(Kdp, ?dr), R(z, ?dr), and R(Ah, ?dr), which use linear versions of Zdr and Zh, namely ?dr and z. Except for R(Kdp), convective/stratiform partitioning was unnecessary for these estimators. All dual-polarization estimators outperformed updated R(z) estimators derived from the same dataset. The best-performing estimator was R(Kdp, ?dr), followed by R(Ah, ?dr) and R(z, ?dr). The R error was further reduced in an updated blended algorithm choosing between R(z), R(z, ?dr), R(Kdp), and R(Kdp, ?dr) depending on Zdr > 0.25 dB and Kdp > 0.3° km?1 thresholds. Because of these thresholds and the lack of hail, R(Kdp) was never used. At all wavelengths, R(z) was still needed 43% of the time during light rain (R < 5 mm h?1, Zdr < 0.25 dB), composing 7% of the total rain volume. As wavelength decreased, R(Kdp, ?dr) was used more often, R(z, ?dr) was used less often, and the blended algorithm became increasingly more accurate than R(z).
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      Dual-Polarization Radar Rainfall Estimation over Tropical Oceans

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4261601
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    • Journal of Applied Meteorology and Climatology

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    contributor authorThompson, Elizabeth J.
    contributor authorRutledge, Steven A.
    contributor authorDolan, Brenda
    contributor authorThurai, Merhala
    contributor authorChandrasekar, V.
    date accessioned2019-09-19T10:06:25Z
    date available2019-09-19T10:06:25Z
    date copyright12/27/2017 12:00:00 AM
    date issued2017
    identifier otherjamc-d-17-0160.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261601
    description abstractAbstractDual-polarization radar rainfall estimation relationships have been extensively tested in continental and subtropical coastal rain regimes, with little testing over tropical oceans where the majority of rain on Earth occurs. A 1.5-yr Indo-Pacific warm pool disdrometer dataset was used to quantify the impacts of tropical oceanic drop-size distribution (DSD) variability on dual-polarization radar variables and their resulting utility for rainfall estimation. Variables that were analyzed include differential reflectivity Zdr; specific differential phase Kdp; reflectivity Zh; and specific attenuation Ah. When compared with continental or coastal convection, tropical oceanic Zdr and Kdp values were more often of low magnitude (<0.5 dB, <0.3° km?1) and Zdr was lower for a given Kdp or Zh, consistent with observations of tropical oceanic DSDs being dominated by numerous, small, less-oblate drops. New X-, C-, and S-band R estimators were derived: R(Kdp), R(Ah), R(Kdp, ?dr), R(z, ?dr), and R(Ah, ?dr), which use linear versions of Zdr and Zh, namely ?dr and z. Except for R(Kdp), convective/stratiform partitioning was unnecessary for these estimators. All dual-polarization estimators outperformed updated R(z) estimators derived from the same dataset. The best-performing estimator was R(Kdp, ?dr), followed by R(Ah, ?dr) and R(z, ?dr). The R error was further reduced in an updated blended algorithm choosing between R(z), R(z, ?dr), R(Kdp), and R(Kdp, ?dr) depending on Zdr > 0.25 dB and Kdp > 0.3° km?1 thresholds. Because of these thresholds and the lack of hail, R(Kdp) was never used. At all wavelengths, R(z) was still needed 43% of the time during light rain (R < 5 mm h?1, Zdr < 0.25 dB), composing 7% of the total rain volume. As wavelength decreased, R(Kdp, ?dr) was used more often, R(z, ?dr) was used less often, and the blended algorithm became increasingly more accurate than R(z).
    publisherAmerican Meteorological Society
    titleDual-Polarization Radar Rainfall Estimation over Tropical Oceans
    typeJournal Paper
    journal volume57
    journal issue3
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-17-0160.1
    journal fristpage755
    journal lastpage775
    treeJournal of Applied Meteorology and Climatology:;2017:;volume 057:;issue 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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