The London, Paris and De Bilt sub-daily pressure series

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Richard C. Cornes, Phil D. Jones, Theo Brandsma, Denis Cendrier, Sylvie Jourdain
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Abstract

The construction of sub-daily pressure series is described for the cities of London (GB) and Paris (FR). The series extend back 1692 and 1748, respectively, and as such they represent two of the longest sub-daily series of barometric pressure available. These series are updated from the previously documented London and Paris daily series and offer more homogeneous series, and in the case of the London series a more temporally complete sequence of data. A pairwise homogenization procedure has been applied to the two series alongside the long series of pressure that exists for De Bilt (NL). The De Bilt series has been available for some time in the International Surface Pressure Dataset (ISPD), but further quality control and homogeneity-checking procedures have been applied to the data in this paper and therefore the three series are released together in this dataset. The series are of immediate interest for understanding changes to storm activity across the English Channel and North Atlantic region over an extended timeframe but may also be assimilated into reanalysis datasets such as the 20th-century reanalysis.

Abstract Image

Abstract Image

伦敦、巴黎和德比尔特分日压力系列
介绍了伦敦(英国)和巴黎(法国)这两个城市的亚日气压序列的构造。这两个系列分别可追溯到 1692 年和 1748 年,因此它们代表了两个现有最长的亚日气压系列。这些序列是根据之前记录的伦敦和巴黎日序列更新的,提供了更均匀的序列,而伦敦序列则提供了时间上更完整的数据序列。除了 De Bilt(荷兰)现有的长气压序列外,还对这两个序列采用了成对同质化程序。De Bilt 系列数据在国际地面气压数据集(ISPD)中发布已有一段时间,但本文对数据采用了进一步的质量控制和同质性检查程序,因此这三个系列数据集一起发布。这些系列数据对于了解英吉利海峡和北大西洋地区风暴活动在更长时间段内的变化具有直接意义,但也可能被同化到再分析数据集中,如 20 世纪再分析数据集。
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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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