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

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

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BORIS DOI
10.48350/184102
Date of Publication
June 23, 2023
Publication Type
Article
Division/Institute

Geographisches Instit...

Author
Burgdorf, Angela-Mariaorcid-logo
Geographisches Institut (GIUB) - Klimatologie
Geographisches Institut (GIUB)
Brönnimann, Stefan
Geographisches Institut (GIUB) - Klimatologie
Geographisches Institut (GIUB)
Adamson, George
Amano, Tatsuya
Aono, Yasuyuki
Barriopedro, David
Bullón, Teresa
Camenisch, Chantal
Camuffo, Dario
Daux, Valérie
Del Rosario Prieto, María
Dobrovolný, Petr
Gallego, David
García-Herrera, Ricardo
Gergis, Joelle
Grab, Stefan
Hannaford, Matthew J
Holopainen, Jari
Kelso, Clare
Kern, Zoltán
Kiss, Andrea
Kuan-Hui Lin, Elaine
Loader, Neil J
Možný, Martin
Nash, David
Nicholson, Sharon E
Pfister, Christian
Rodrigo, Fernando S
Rutishauser, This
Sharma, Sapna
Takács, Katalin
Vargas, Ernesto T
Vega, Inmaculada
Subject(s)

900 - History::910 - ...

Series
Scientific data
ISSN or ISBN (if monograph)
2052-4463
Publisher
Nature Publishing Group
Language
English
Publisher DOI
10.1038/s41597-023-02303-y
PubMed ID
37353567
Description
Documentary climate data describe evidence of past climate arising from predominantly written historical documents such as diaries, chronicles, newspapers, or logbooks.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 The dataset DOCU-CLIM comprises 621 time series (both published and hitherto unpublished) providing information on historical variations in temperature, precipitation, and wind regime.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.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/168128
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s41597-023-02303-y.pdftextAdobe PDF3.72 MBAttribution (CC BY 4.0)publishedOpen
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