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DOCU-CLIM:用于气候重建的全球文献气候数据集。

DOCU-CLIM: A global documentary climate dataset for climate reconstructions.

机构信息

Institute of Geography, University of Bern, Bern, Switzerland.

Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland.

出版信息

Sci Data. 2023 Jun 23;10(1):402. doi: 10.1038/s41597-023-02303-y.

Abstract

Documentary climate data describe evidence of past climate arising from predominantly written historical documents such as diaries, chronicles, newspapers, or logbooks. Over the past decades, historians and climatologists have generated numerous document-based time series of local and regional climates. However, a global dataset of documentary climate time series has never been compiled, and documentary data are rarely used in large-scale climate reconstructions. Here, we present the first global multi-variable collection of documentary climate records. The dataset DOCU-CLIM comprises 621 time series (both published and hitherto unpublished) providing information on historical variations in temperature, precipitation, and wind regime. The series are evaluated by formulating proxy forward models (i.e., predicting the documentary observations from climate fields) in an overlapping period. Results show strong correlations, particularly for the temperature-sensitive series. Correlations are somewhat lower for precipitation-sensitive series. Overall, we ascribe considerable potential to documentary records as climate data, especially in regions and seasons not well represented by early instrumental data and palaeoclimate proxies.

摘要

文献气候数据描述了主要来源于日记、编年史、报纸或航海日志等书面历史文献的过去气候证据。在过去几十年中,历史学家和气候学家已经生成了许多基于文献的局部和区域气候时间序列。然而,从未编制过文献气候时间序列的全球数据集,并且很少在大规模气候重建中使用文献数据。在这里,我们提出了第一个全球多变量文献气候记录集合。数据集 DOCU-CLIM 包含 621 条时间序列(已发表和迄今未发表的),提供了有关温度、降水和风向历史变化的信息。通过在重叠期间制定代理前向模型(即从气候场预测文献观测值)来评估这些序列。结果表明,相关性很强,特别是对于对温度敏感的序列。对于对降水敏感的序列,相关性略低。总的来说,我们认为文献记录作为气候数据具有相当大的潜力,尤其是在早期仪器数据和古气候代用指标记录不佳的地区和季节。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a327/10290071/3c2807133a52/41597_2023_2303_Fig1_HTML.jpg

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