海平面重建背景下的数据救援过程:方法概述、经验教训、最新最佳做法和建议

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Geoscience Data Journal Pub Date : 2022-12-14 DOI:10.1002/gdj3.179
Alexa Latapy, Yann Ferret, Laurent Testut, Stefan Talke, Thorkild Aarup, Frederic Pons, Gwenaele Jan, Elizabeth Bradshaw, Nicolas Pouvreau
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引用次数: 2

摘要

沿海水位测量是最早的地球物理测量之一,可以评估历史海平面上升和潮汐、河流流量和风暴潮的趋势。然而,潮汐档案记录的恢复和数字化远不如气象记录那样广泛和系统。在这篇文章中,我们讨论了法国、美国和英国的数据救援工作和经验教训,这些国家在19世纪中期就拥有早期和广泛的潮汐测量网络。我们强调以下工作的重要性:(a)将历史测量记录编目,作为定位它们的第一步;(b)在档案中找到数据,然后以任何必要的方法(包括拍照和扫描)恢复和保存数据;(c)获取元数据,包括定量测量记录、量规检查和时钟数据,以及量规便笺、信件和报告等定性记录;(d)对数据和基准质量进行定量统计分析,既使用标准的数据输入检查,也使用利用潮汐测量独特可预测性的工具。对原始模拟记录的数字化方法也进行了讨论,包括半自动的、基于计算机的潮汐图(图)数字化方法。尽管描述了目前的最佳实践,但未来的改进是可取的,并且需要将估计超过10,000个站点年的未使用的、未数字化的记录提供给科学界。
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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Data rescue process in the context of sea level reconstructions: An overview of the methodology, lessons learned, up-to-date best practices and recommendations

Coastal water level measurements represent one of the earliest geophysical measurements and allow an assessment of historical sea level rise and trends in tides, river flow and storm surge. However, recovery and digitization of archival tidal records have been much less widespread and systematic than, for example meteorological records. In this contribution, we discuss data rescue efforts and lessons learned in France, the United States and the United Kingdom, countries with early and extensive tide gauge networks by the mid-19th century. We highlight the importance of (a) cataloguing the historical gauge records, as a first step towards locating them; (b) locating data in archives, and then recovering and saving data by any means necessary, including photographs and scanning; (c) obtaining metadata, including both quantitative survey records, gauge checks and clock data, but also qualitative records such as gauge notes, letters and reports; and (d) quantitative statistical analysis of data and datum quality, using both standard data-entry checks but also tools that leverage the unique predictability of tide measurements. Methods for digitizing original analogue records are also discussed, including semi-automatic, computer-based methods of digitizing tidal charts (marigrams). Although the current best practice is described, future improvements are desirable and needed to make the more than estimated 10,000 station years of unused, undigitized records available to the scientific community.

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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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