CERRA, the Copernicus European Regional Reanalysis system

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Quarterly Journal of the Royal Meteorological Society Pub Date : 2024-05-27 DOI:10.1002/qj.4764
Martin Ridal, Eric Bazile, Patrick Le Moigne, Roger Randriamampianina, Semjon Schimanke, Ulf Andrae, Lars Berggren, Pierre Brousseau, Per Dahlgren, Lisette Edvinsson, Adam El‐Said, Michael Glinton, Susanna Hagelin, Susanna Hopsch, Ludvig Isaksson, Paulo Medeiros, Esbjörn Olsson, Per Unden, Zheng Qi Wang
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Abstract

A regional reanalysis has been produced for a domain covering entire Europe from 1984 to 2021. The reanalysis is produced as part of the Copernicus Climate Change Service. The Service provides the high‐resolution deterministic Copernicus European Regional Reanalysis (CERRA), run at a horizontal resolution of 5.5 km, a 10‐member ensemble run at 11‐km resolution as well as an offline surface analysis, CERRA‐Land. CERRA‐EDA uses an ensemble data assimilation (EDA) technique to perturb the initial condition of the different members. Apart from the horizontal resolution the CERRA and CERRA‐EDA setups are the same; for example, the same data assimilation scheme, same physics parameterization as well as the same vertical levels. These new systems are built from HARMONIE cy40 version, including some back‐phased physics from a newer model version (cy42). Conventional observations, satellite‐based radiances, atmospheric motion vector winds and bending angle from radio occultation observations are used. In addition, ground‐based zenith total delay (ZTD) from global navigational satellite systems (GNSS) and local surface observations, rescued from historical archives at the local National Meteorological Services, are used. Another new feature is the construction of the background error statistics for the data assimilation. Information from the ensemble run, CERRA‐EDA, is used in the derivation of the background error statistics for the high‐resolution CERRA runs. These background error statistics are updated every second day. By doing so, daily environment variation is taken into account as well as all variations over the 37 years of production. The reanalyses and reforecasts from CERRA show an added value compared to the global ERA5 for almost all variables at the surface level. This becomes particularly clear when selecting smaller areas with complex terrain where the high resolution is beneficial. In the free atmosphere it is primarily the analyses and short forecasts, 3–6 hours, that give an added value.
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哥白尼欧洲区域再分析系统 CERRA
为覆盖整个欧洲的区域制作了一份从 1984 年到 2021 年的区域再分析报告。该再分析是哥白尼气候变化服务的一部分。该服务提供水平分辨率为 5.5 千米的高分辨率确定性哥白尼欧洲区域再分析(CERRA)、分辨率为 11 千米的 10 成员集合分析以及离线地表分析 CERRA-Land。CERRA-EDA 使用集合数据同化(EDA)技术对不同成员的初始条件进行扰动。除了水平分辨率外,CERRA 和 CERRA-EDA 的设置是相同的;例如,相同的数据同化方案、相同的物理参数化以及相同的垂直水平。这些新系统是在 HARMONIE cy40 版本的基础上建立的,其中包括一些来自较新模型版本(cy42)的后相物理参数。使用了常规观测、卫星辐射、大气运动矢量风和无线电掩星观测的弯曲角。此外,还使用了来自全球导航卫星系统(GNSS)的地基天顶总延迟(ZTD)和从当地国家气象局历史档案中获取的当地地表观测数据。另一个新功能是构建数据同化的背景误差统计。在推导高分辨率 CERRA 运行的背景误差统计时,使用了来自 CERRA-EDA 集合运行的信息。这些背景误差统计每隔一天更新一次。这样,每天的环境变化以及 37 年生产过程中的所有变化都被考虑在内。与全球ERA5相比,CERRA的再分析和再预测在地表层面的几乎所有变量上都显示出了附加值。当选择地形复杂的较小区域时,高分辨率的优势尤为明显。在自由大气层中,主要是 3-6 小时的分析和短期预报带来了附加值。
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来源期刊
CiteScore
16.80
自引率
4.50%
发文量
163
审稿时长
3-8 weeks
期刊介绍: The Quarterly Journal of the Royal Meteorological Society is a journal published by the Royal Meteorological Society. It aims to communicate and document new research in the atmospheric sciences and related fields. The journal is considered one of the leading publications in meteorology worldwide. It accepts articles, comprehensive review articles, and comments on published papers. It is published eight times a year, with additional special issues. The Quarterly Journal has a wide readership of scientists in the atmospheric and related fields. It is indexed and abstracted in various databases, including Advanced Polymers Abstracts, Agricultural Engineering Abstracts, CAB Abstracts, CABDirect, COMPENDEX, CSA Civil Engineering Abstracts, Earthquake Engineering Abstracts, Engineered Materials Abstracts, Science Citation Index, SCOPUS, Web of Science, and more.
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