Dual-Polarization Radar Rainfall Estimation over Tropical OceansSource: Journal of Applied Meteorology and Climatology:;2017:;volume 057:;issue 003::page 755Author:Thompson, Elizabeth J.
,
Rutledge, Steven A.
,
Dolan, Brenda
,
Thurai, Merhala
,
Chandrasekar, V.
DOI: 10.1175/JAMC-D-17-0160.1Publisher: 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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contributor author | Thompson, Elizabeth J. | |
contributor author | Rutledge, Steven A. | |
contributor author | Dolan, Brenda | |
contributor author | Thurai, Merhala | |
contributor author | Chandrasekar, V. | |
date accessioned | 2019-09-19T10:06:25Z | |
date available | 2019-09-19T10:06:25Z | |
date copyright | 12/27/2017 12:00:00 AM | |
date issued | 2017 | |
identifier other | jamc-d-17-0160.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4261601 | |
description 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). | |
publisher | American Meteorological Society | |
title | Dual-Polarization Radar Rainfall Estimation over Tropical Oceans | |
type | Journal Paper | |
journal volume | 57 | |
journal issue | 3 | |
journal title | Journal of Applied Meteorology and Climatology | |
identifier doi | 10.1175/JAMC-D-17-0160.1 | |
journal fristpage | 755 | |
journal lastpage | 775 | |
tree | Journal of Applied Meteorology and Climatology:;2017:;volume 057:;issue 003 | |
contenttype | Fulltext |