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EURADCLIM: The European climatological high-resolution gauge-adjusted radar precipitation dataset
Earth System Science Data ( IF 11.4 ) Pub Date : 2022-11-02 , DOI: 10.5194/essd-2022-334
Aart Overeem, Else van den Besselaar, Gerard van der Schrier, Jan Fokke Meirink, Emiel van der Plas, Hidde Leijnse

Abstract. The European climatological high-resolution gauge-adjusted radar precipitation dataset, EURADCLIM, addresses the need for an accurate (sub-)daily precipitation product covering 78 % of Europe at high spatial resolution. A climatological dataset of 1-h and 24-h precipitation accumulations on a 2-km grid is derived for the period 2013 through 2020. The starting point is the European Meteorological Network (EUMETNET) Operational Program on the Exchange of weather RAdar Information (OPERA) gridded radar dataset of 15-min instantaneous surface rain rates, which is based on data from, on average, 138 ground-based weather radars. First, methods are applied to further remove non-meteorological echoes from these composites by applying two statistical methods and a satellite-based cloud type mask. Second, the radar composites are merged with the European Climate Assessment & Dataset (ECA&D) with potentially ~7700 rain gauges from National Meteorological and Hydrological Services (NMHS) in order to substantially improve its quality. Characteristics of the radar, rain gauge and satellite datasets are presented, as well as a detailed account of the applied algorithms. The clutter removal algorithms are effective, while removing few precipitation echoes. The usefulness of EURADCLIM for quantitative precipitation estimation (QPE) is confirmed by comparing against rain gauge accumulations employing scatter density plots, statistical metrics, and a spatial verification. These show a strong improvement with respect to the original OPERA product. The potential of EURADCLIM to derive pan-European precipitation climatologies and to evaluate extreme precipitation events is shown. Specific attention is given to remaining artefacts in and limitations of EURADCLIM. Finally, it is recommended to further improve EURADCLIM by applying algorithms to 3D instead of 2D radar data, and by obtaining more rain gauge data for the radar-gauge merging.The EURADCLIM 1-h and 24-h precipitation datasets are publicly available at https://doi.org/10.21944/7ypj-wn68 (Overeem et al., 2022a) and https://doi.org/10.21944/1a54-gg96 (Overeem et al., 2022b).

中文翻译:

EURADCLIM:欧洲气候高分辨率测量仪调整的雷达降水数据集

摘要。欧洲气候高分辨率测量仪调整的雷达降水数据集 EURADCLIM 满足了对覆盖欧洲 78% 的高空间分辨率的准确(次)日降水产品的需求。2013 年至 2020 年期间,在 2 公里网格上导出了 1 小时和 24 小时降水累积的气候数据集。起点是欧洲气象网络 (EUMETNET) 天气雷达信息交换业务计划 (OPERA) ) 15 分钟瞬时地表降雨率的网格雷达数据集,该数据集基于平均来自 138 个地面天气雷达的数据。首先,通过应用两种统计方法和基于卫星的云型掩模,应用方法从这些复合材料中进一步去除非气象回波。第二,雷达复合材料与欧洲气候评估和数据集 (ECA&D) 与来自国家气象和水文部门 (NMHS) 的潜在约 7700 个雨量计合并,以显着提高其质量。介绍了雷达、雨量计和卫星数据集的特征,并详细说明了所应用的算法。杂波去除算法是有效的,同时去除了少量的降水回波。EURADCLIM 对定量降水估计 (QPE) 的有用性通过与使用散射密度图、统计指标和空间验证的雨量计累积进行比较来证实。这些显示出相对于原始 OPERA 产品的强大改进。显示了 EURADCLIM 在推导泛欧洲降水气候学和评估极端降水事件方面的潜力。特别注意 EURADCLIM 中的剩余人工制品和限制。最后,建议通过将算法应用于 3D 而不是 2D 雷达数据,并通过获取更多雨量计数据用于雷达-测量仪合并来进一步改进 EURADCLIM。EURADCLIM 1-h 和 24-h 降水数据集可在 https 上公开获得://doi.org/10.21944/7ypj-wn68(Overeem 等人,2022a)和 https://doi.org/10.21944/1a54-gg96(Overeem 等人,2022b)。
更新日期:2022-11-02
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