Reanalysis of multi-year high-resolution X-band weather radar observations in Hamburg

IF 11.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Earth System Science Data Pub Date : 2024-05-07 DOI:10.5194/essd-16-2317-2024
Finn Burgemeister, Marco Clemens, Felix Ament
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Abstract

Abstract. This paper presents an open-access data set of reanalysed radar reflectivities and rainfall rates at sub-kilometre spatial and minute temporal scales. Variability at these scales is a blind spot for both operational rain gauge networks and operational radar networks. In the urban area of Hamburg, precipitation measurements of a single-polarized X-band weather radar operating at high temporal (30 s), range (60 m), and azimuthal sampling (1°) resolutions are made available for a period of more than 8 years. We describe in detail the reanalysis of the raw radar data, outline the radar performance for the years 2013 to 2021, and discuss open issues and limitations of the data set. Several sources of radar-based errors were adjusted gradually, affecting the radar reflectivity and rainfall measurements, e.g. noise, alignment, non-meteorological echoes, radar calibration, and attenuation. The deployment of additional vertically pointing micro rain radars yields drop size distributions at the radar beam height, which effectively reduces errors concerning the radar calibration and attenuation correction and monitors the radar data quality. A statistical evaluation revealed that X-band radar reflectivities and rainfall rates are in very good agreement with the micro rain radar measurements. Moreover, the analyses of rainfall patterns shown for an event and accumulated rainfall of several months prove the quality of the data set. The provided radar reflectivities facilitate studies on attenuation correction and the derivation of further weather radar products, like an improved rainfall rate. The rainfall rates themselves can be used for studies on the spatial and temporal scales of precipitation and hydrological research, e.g. input data for high-resolution modelling, in an urban area. The radar reflectivities and rainfall rates are available at https://doi.org/10.26050/WDCC/LAWR_UHH_HHG_v2 (Burgemeister et al., 2024).
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对汉堡多年高分辨率 X 波段天气雷达观测数据的再分析
摘要本文介绍了一个可公开获取的数据集,其中包括亚公里空间尺度和分钟时间尺度的雷达反射率和降雨率的再分析数据。这些尺度上的变异性是业务雨量计网络和业务雷达网络的盲点。在汉堡市区,一台单极化 X 波段天气雷达在高时间分辨率(30 秒)、高测距分辨率(60 米)和高方位角采样分辨率(1°)下工作了 8 年多,对降水量进行了测量。我们详细描述了对原始雷达数据的重新分析,概述了 2013 年至 2021 年雷达的性能,并讨论了数据集的公开问题和局限性。影响雷达反射率和降雨量测量的几个雷达误差源已逐步调整,如噪声、对准、非气象回波、雷达校准和衰减。部署额外的垂直指向微型降雨雷达可获得雷达波束高度的水滴大小分布,从而有效减少雷达校准和衰减修正方面的误差,并监测雷达数据质量。统计评估显示,X 波段雷达反射率和降雨率与微雨雷达测量结果非常吻合。此外,对一次降雨和几个月累积降雨的降雨模式分析也证明了数据集的质量。所提供的雷达反射率有助于研究衰减修正和进一步气象雷达产品的推导,如改进的降雨率。降雨率本身可用于研究降水的时空尺度和水文研究,如城市地区高分辨率建模的输入数据。雷达反射率和降雨率可从 https://doi.org/10.26050/WDCC/LAWR_UHH_HHG_v2 网站获取(Burgemeister 等人,2024 年)。
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来源期刊
Earth System Science Data
Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍: Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.
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