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

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Version 2 2024-03-13, 10:10
Version 1 2023-12-20, 12:44
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posted on 2024-03-13, 10:10 authored by Angela-Maria Burgdorf, Stefan Brönnimann, Mari?a del Rosario Prieto, Petr Dobrovolny?, David Gallego, Ricardo Garci?a-Herrera, Joelle Gergis, Stefan Grab, Matthew Hannaford, Jari Holopainen, Clare Kelso, Zolta?n Kern, George Adamson, Andrea Kiss, Elaine Kuan-Hui Lin, Neil J. Loader, Martin Moz?ny?, David Nash, Sharon E. Nicholson, Christian Pfister, Fernando S. Rodrigo, This Rutishauser, Sapna Sharma, Tatsuya Amano, Katalin Taka?cs, Ernesto T. Vargas, Inmaculada Vega, Yasuyuki Aono, David Barriopedro, Teresa Bullo?n, Chantal Camenisch, Dario Camuffo, Vale?rie Daux
<p>Documentary climate data describe evidence of past climate arising from predominantly written historical documents such as diaries, chronicles, newspapers, or logbooks.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 The dataset DOCU-CLIM comprises 621 time series (both published and hitherto unpublished) providing information on historical variations in temperature, precipitation, and wind regime.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.</p>

History

School affiliated with

  • Department of Geography (Research Outputs)

Publication Title

Scientific Data

Volume

10

Issue

1

Publisher

Springer Nature

ISSN

2052-4463

Date Submitted

2023-07-25

Date Accepted

2023-06-12

Date of First Publication

2023-06-23

Date of Final Publication

2023-06-23

Date Document First Uploaded

2023-07-23

ePrints ID

55557

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