Weather Rescue at Sea: Recovering Historical Weather Observations From 19th Century British Naval Ships

IF 2.8 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Praveen Teleti, Ed Hawkins, Clive Wilkinson
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引用次数: 0

Abstract

Ship logbooks represent a critical source of historical meteorological data, providing valuable observations of barometric pressure, air temperature, sea surface temperature, wind force and direction, and other variables. Substantial quantities of these records are unavailable to climate science as they have not yet been transcribed. We present ‘Weather Rescue at Sea’, a citizen-science project which transcribed millions of weather observations contained in 19th Century UK Royal Navy ship logbooks. We describe the logbook structure and weather observation-taking instructions and discuss significant challenges with the translation of handwritten text into accurate data due to errors arising from ambiguous handwriting, historical terminology, and inconsistent metadata. We present the dataset and explore its spatio-temporal characteristics. The corrected and quality-assured datasets will enhance climate reanalyses and other historical reconstructions of the pre- and early industrial climate by providing more input meteorological data. Furthermore, we highlight emerging tools, such as AI-driven transcription correction, and outline remaining challenges in fully leveraging these historical records to advance climate science.

Abstract Image

海上天气救援:恢复19世纪英国海军舰艇的历史天气观测
船舶日志是历史气象数据的重要来源,提供了有关气压、气温、海面温度、风力和风向以及其他变量的宝贵观测资料。气候科学无法获得这些记录中的大量数据,因为它们尚未被转录。我们介绍“海上天气救援”,这是一个公民科学项目,它转录了19世纪英国皇家海军船只日志中包含的数百万个天气观测结果。我们描述了日志的结构和天气观测指示,并讨论了由于字迹模糊、历史术语和不一致的元数据引起的错误,将手写文本翻译成准确数据所面临的重大挑战。我们展示了该数据集,并探讨了其时空特征。经过校正并保证质量的数据集将通过提供更多的输入气象数据,加强气候再分析和其他工业前和早期气候的历史重建。此外,我们强调了新兴工具,如人工智能驱动的转录校正,并概述了充分利用这些历史记录推进气候科学的剩余挑战。
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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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