利用热点技术识别雷达数据中的 ZDR 柱

IF 3 3区地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES

Weather and Forecasting Pub Date : 2024-01-26 DOI:10.1175/waf-d-23-0146.1

John Krause, Vinzent Klaus

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引用次数: 0

摘要

我们开发了一种新型差分反射率（ZDR）柱探测方法--热点技术。该方法利用 ZDR 的恒定高度平面投影指标 (CAPPI)、反射率和-10°C 等温线高度的圆去极化率替代值，确定 ZDR 柱基底的位置，而不是整个 ZDR 柱深度。将新方法与另外两种现有的 ZDR 柱探测方法进行了比较，结果表明，在存在 ZDR 偏差的区域，新方法有了改进。

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Identifying ZDR Columns in Radar Data with the Hotspot Technique

A novel differential reflectivity (ZDR) column detection method, the hotspot technique, has been developed. Utilizing constant altitude plan projection indicators (CAPPI) of ZDR, reflectivity, and a proxy for circular depolarization ratio at the height of the −10°C isotherm, the method identifies the location of the base of the ZDR column rather than the entire ZDR column depth. The new method is compared to two other existing ZDR column detection methods and shown to be an improvement in regions where there is a ZDR bias.

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来源期刊

Weather and Forecasting 地学-气象与大气科学

CiteScore

5.20

自引率

17.20%

发文量

131

审稿时长

6-12 weeks

期刊介绍： Weather and Forecasting (WAF) (ISSN: 0882-8156; eISSN: 1520-0434) publishes research that is relevant to operational forecasting. This includes papers on significant weather events, forecasting techniques, forecast verification, model parameterizations, data assimilation, model ensembles, statistical postprocessing techniques, the transfer of research results to the forecasting community, and the societal use and value of forecasts. The scope of WAF includes research relevant to forecast lead times ranging from short-term “nowcasts” through seasonal time scales out to approximately two years.