Min Deng, Scott E. Giangrande, Michael P. Jensen, Karen Johnson, Christopher R. Williams, Jennifer M. Comstock, Ya-Chien Feng, Alyssa Matthews, Iosif A. Lindenmaier, Timothy G. Wendler, Marquette Rocque, Aifang Zhou, Zeen Zhu, Edward Luke, Die Wang
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引用次数: 0
摘要
摘要。为美国能源部(DOE)的大气辐射测量(ARM)用户设施 Ka 波段 ARM 天顶雷达(KAZR)开发了一种相对校准技术。该技术利用雷达罩上收集的水造成的信号衰减来估算反射系数 (Ze) 偏差。在小雨和中雨条件下,湿雷达罩衰减(WRA)被假定为与降雨率呈对数关系,由同位表面测距仪测量。这种 WRA 方法用于较短波长雷达监测的一个实际优势是,虽然它需要一个参考测距仪,但与传统测距仪在小雨中直接比较相比,它在更大范围的同位测距仪测量中显示出了可行性。增加这种技术可为远程/长期部署提供额外的、具有成本效益的监测工具。该技术已在 2021 年 10 月至 2022 年 9 月的 ARM 气溶胶对流跟踪相互作用试验(TRACER)中应用。根据这次试验期间可用的数据集,对照传统的雷达校准和监测方法,对 Ze 中的估计偏移量进行了评估。这种 WRA 技术报告的偏移量与云雷达和附近的测距仪在降雨开始时间附近发现的平均偏移量相当,同时还显示出与同地和独立校准的参考雷达类似的偏移量和活动期间的趋势。总体而言,在 TRACER 期间估算的 KAZR 云层偏移量保持稳定,从活动开始到 2022 年 6 月底,比用测距仪估算的云层偏移量低 2 dBZ。其后,雷达偏移量在活动结束时增加到接近 7 dBZ。
Wet-Radome Attenuation in ARM Cloud Radars and Its Utilization in Radar Calibration Using Disdrometer Measurements
Abstract. A relative calibration technique is developed for the U.S. Department of Energy's (DOE) Atmospheric Radiation Measurement (ARM) user facility Ka-Band ARM Zenith Radars (KAZRs). The technique utilizes the signal attenuation due to water collected on the radome for estimates of the reflectivity factor (Ze) offset. The wet-radome attenuation (WRA) is assumed to follow a logarithmic relationship with rainfall rate in light and moderate rain conditions, measured by a collocated surface disdrometer. A practical advantage of this WRA approach to shorter-wavelength radar monitoring is that while it requires a reference disdrometer, it is shown viable for a wider range of collocated disdrometer measurements than traditional disdrometer direct comparisons in light rain. Adding such techniques may provide an additional, cost-effective monitoring tool for remote/longer-term deployments. This technique has been applied during the ARM TRacking Aerosol Convection interactions ExpeRiment (TRACER) from October 2021 through September 2022. The estimated offsets in Ze are evaluated against traditional radar calibration and monitoring methods based on datasets available during this campaign. This WRA technique reports offsets that compare favorably with the mean offsets found between the cloud radars and a nearby disdrometer near the time of rain onset, while also demonstrates similar offset and campaign-long trends with respect to collocated and independently-calibrated reference radars. Overall, the KAZR Ze offsets estimated during TRACER remains stable and at a level 2 dBZ lower than the Ze estimated by disdrometer from the campaign start until the end of June 2022. Thereafter, the radar offsets increase to near 7 dBZ at the end of the campaign.
期刊介绍:
Atmospheric Measurement Techniques (AMT) is an international scientific journal dedicated to the publication and discussion of advances in remote sensing, in-situ and laboratory measurement techniques for the constituents and properties of the Earth’s atmosphere.
The main subject areas comprise the development, intercomparison and validation of measurement instruments and techniques of data processing and information retrieval for gases, aerosols, and clouds. The manuscript types considered for peer-reviewed publication are research articles, review articles, and commentaries.