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Comparisons of Reflectivities from the TRMM Precipitation Radar and Ground-Based Radars

机译:TRMM降水雷达和地基雷达反射率的比较

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摘要

Given the decade long and highly successful Tropical Rainfall Measuring Mission (TRMM), it is now possible to provide quantitative comparisons between ground-based radars (GRs) with the space-borne TRMM precipitation radar (PR) with greater certainty over longer time scales in various tropical climatological regions. This study develops an automated methodology to match and compare simultaneous TRMM PR and GR reflectivities at four primary TRMM Ground Validation (GV) sites: Houston, Texas (HSTN); Melbourne, Florida (MELB); Kwajalein, Republic of the Marshall Islands (KWAJ); and Darwin, Australia (DARW). Data from each instrument are resampled into a three-dimensional Cartesian coordinate system. The horizontal displacement during the PR data resampling is corrected. Comparisons suggest that the PR suffers significant attenuation at lower levels especially in convective rain. The attenuation correction performs quite well for convective rain but appears to slightly over-correct in stratiform rain. The PR and GR observations at HSTN, MELB and KWAJ agree to about 1 dB on average with a few exceptions, while the GR at DARW requires +1 to -5 dB calibration corrections. One of the important findings of this study is that the GR calibration offset is dependent on the reflectivity magnitude. Hence, we propose that the calibration should be carried out using a regression correction, rather than simply adding an offset value to all GR reflectivities. This methodology is developed towards TRMM GV efforts to improve the accuracy of tropical rain estimates, and can also be applied to the proposed Global Precipitation Measurement and other related activities over the globe.
机译:鉴于十年来非常成功的热带雨量测量任务(TRMM),现在有可能在地面雷达(GRs)与星载TRMM降水雷达(PR)之间进行定量比较,从而在更长的时间范围内具有更大的确定性。各种热带气候区域。这项研究开发了一种自动方法,可以匹配和比较四个主要TRMM地面验证(GV)地点同时TRMM PR和GR反射率:得克萨斯州休斯顿(HSTN);佛罗里达墨尔本(MELB);马绍尔群岛共和国夸贾林(KWAJ);以及澳大利亚达尔文(DARW)。每个仪器的数据都重新采样到三维笛卡尔坐标系中。 PR数据重采样期间的水平位移被校正。比较表明,PR在较低水平下会明显衰减,尤其是在对流雨中。对于对流雨,衰减校正效果很好,但在层状雨中,校正似乎略有过度校正。 HSTN,MELB和KWAJ的PR和GR观测值平均同意约为1 dB,只有少数例外,而DARW的GR则需要+1至-5 dB校准校正。这项研究的重要发现之一是GR校准偏移量取决于反射率的大小。因此,我们建议应使用回归校正来执行校准,而不是简单地将偏移值添加到所有GR反射率中。该方法是为TRMM GV努力而开发的,旨在提高热带雨量估算的准确性,也可以应用于拟议的全球降水量测量和全球其他相关活动。

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