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

Documentary climate data describe evidence of past climate arising from predominantly written historical documents such as diaries, chronicles, newspapers, or logbooks.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 clima...

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Detalles Bibliográficos
Autores principales: Burgdorf, Angela-Maria, Brönnimann, Stefan, 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290071/
https://www.ncbi.nlm.nih.gov/pubmed/37353567
http://dx.doi.org/10.1038/s41597-023-02303-y
Descripción
Sumario:Documentary climate data describe evidence of past climate arising from predominantly written historical documents such as diaries, chronicles, newspapers, or logbooks.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 The dataset DOCU-CLIM comprises 621 time series (both published and hitherto unpublished) providing information on historical variations in temperature, precipitation, and wind regime.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.