Digitizing observations from the 1861–1875 Met Office Daily Weather Reports using citizen scientist volunteers

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Geoscience Data Journal Pub Date : 2024-01-13 DOI:10.1002/gdj3.236
Philip M. Craig, Ed Hawkins
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Abstract

We describe the transcription and quality control processes for rescuing around 570,000 sub-daily and daily weather observations which were recorded in the UK Met Office Daily Weather Reports during the 1861–1875 period. These data are from the start of coordinated weather observations and were collected with the aim of making the first-ever weather forecasts. The observations were rescued thanks to 3500 volunteers and include sub-daily sea-level pressure, dry and wet bulb temperatures, daily maximum and minimum temperatures, and daily rainfall amounts from 70 different locations across Western Europe, and one in Canada. We highlight how these observations will be used to fill gaps in existing pressure and temperature datasets and use two case studies to show how the pressure observations will likely better constrain the atmospheric circulation during two severe storms. We also compare a sub-sample of the newly rescued observations with data that were previously digitized for a small number of locations for the same dates, finding good agreement in general, although some discrepancies remain.

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利用公民科学家志愿者将 1861-1875 年气象局每日天气报告中的观测数据数字化
我们描述了 1861-1875 年期间,为抢救英国气象局每日天气报告中记录的约 570,000 次每日和每日天气观测数据而进行的转录和质量控制过程。这些数据是协调气象观测开始时的数据,收集这些数据的目的是为了首次进行天气预报。这些观测数据是在 3500 名志愿者的帮助下抢救出来的,其中包括来自西欧 70 个不同地点和加拿大一个地点的亚日海平面气压、干球温度和湿球温度、日最高温度和最低温度以及日降雨量。我们将重点介绍如何利用这些观测数据来填补现有气压和温度数据集的空白,并通过两个案例研究来说明气压观测数据将如何更好地制约两次强风暴期间的大气环流。我们还将新抢救的观测数据中的一个子样本与以前在相同日期对少数地点进行数字化处理的数据进行了比较,发现虽然仍存在一些差异,但总体上是一致的。
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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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