MERIDA HRES:意大利新的高分辨率再分析数据集

IF 2.3 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Meteorological Applications Pub Date : 2024-11-08 DOI:10.1002/met.70011
Francesca Viterbo, Simone Sperati, Bruno Vitali, Filippo D'Amico, Francesco Cavalleri, Riccardo Bonanno, Matteo Lacavalla
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引用次数: 0

摘要

电力公司越来越强调需要高分辨率的再分析数据集,以制定抵御极端天气事件的基础设施保护和管理计划。为此,Ricerca Sul Sistema Energetico (RSE) S.p.A.公司创建了新的意大利高分辨率再分析数据集(MERIDA),这是一个专门为意大利设计的具有显式对流的4公里分辨率数据集。该数据集从 1986 年至今一直公开提供,已与之前开发的 MERIDA 再分析数据集(意大利上空 7 公里分辨率)和全球再分析驱动程序 ERA5 进行了评估和比较。验证跨越了不同尺度(即从气候学到单个极端事件)和多个变量(即 2 米气温、日总降水量和 10 米风速)。分析了一些具体案例,如 2016 年 7 月意大利北部贝加莫附近的对流风暴和 2018 年 10 月更多由同步驱动的维亚风暴,以说明数据集在捕捉降水和风极端事件方面的潜力。此外,还研究了撒丁岛的阿布斯野火事件,以展示评估火灾天气危害的多变量应用。通过性能图和统计分析,突出了 MERIDA HRES 表示长期统计数据和极端事件的能力。尽管意大利各地的气温始终偏低,山区的气温峰值更高,但在所有分析案例中,降水和风的性能均优于 MERIDA 和 ERA5。这些研究结果表明了该产品在意大利多种应用领域的巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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MERIDA HRES: A new high-resolution reanalysis dataset for Italy

Power utilities are increasingly emphasizing the need for high-resolution reanalysis datasets to develop resilience plans for protecting and managing infrastructure against extreme weather events. In response, Ricerca Sul Sistema Energetico (RSE) S.p.A. created the new MEteorological Reanalysis Italian DAtaset (MERIDA) High-RESolution (HRES) reanalysis, a 4-km resolution dataset with explicit convection specifically designed for Italy. This dataset, publicly available from 1986 to the present, has been evaluated and compared with the previously developed MERIDA reanalysis dataset (7-km resolution over Italy) and ERA5, the global reanalysis driver. The validation is conducted across different scales (i.e., from climatology to single extreme events) and for multiple variables (i.e., 2-meter temperature, daily total precipitation, and 10-meter wind speed). Specific cases, such as a convective storm in July 2016 in northern Italy near Bergamo and the more synoptically driven Vaia storm in October 2018, are analyzed to illustrate the dataset's potential in capturing precipitation and wind extremes. Additionally, the Arbus wildfire event in Sardinia is examined to showcase a multivariable application for assessing fire weather hazards. Through performance maps and statistical analyses, the ability of MERIDA HRES to represent both long-term statistics and extreme events is highlighted. Despite a consistent cold temperature bias across Italy, with higher peaks over mountainous regions, the performance of precipitation and wind outperforms that of both MERIDA and ERA5 in all analyzed cases. These findings demonstrate the significant potential of this product for multiple applications in Italy.

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来源期刊
Meteorological Applications
Meteorological Applications 地学-气象与大气科学
CiteScore
5.70
自引率
3.70%
发文量
62
审稿时长
>12 weeks
期刊介绍: The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.
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