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

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    0574824 - ÚVGZ 2024 RIV GB eng J - Journal Article
    Burgdorf, A. - Broennimann, S. - Adamson, G. - Amano, T. - Aono, Y. - Barriopedro, D. - Bullon, T. - Camenisch, C. - Camuffo, D. - Daux, V. - Prieto, M. d. R. - Dobrovolný, Petr - Gallego, D. - García-Herrera, R. - Gergis, J. - Grab, S. - Hannaford, M. J. - Holopainen, J. - Kelso, C. - Kern, Z. - Kiss, A. - Lin, E. K. - Loader, N. J. - Možný, M. - Nash, D. - Nicholson, Sharon E. - Pfister, C. - Rodrigo, Fernando S. - Rutishauser, T. - Sharma, S. … Total 33 authors
    DOCU-CLIM: A global documentary climate dataset for climate reconstructions.
    Scientific Data. Roč. 10, č. 1 (2023), č. článku 402. E-ISSN 2052-4463
    Research Infrastructure: CzeCOS IV - 90248
    Institutional support: RVO:86652079
    Keywords : grape harvest dates * ice winter severity * rainfall variability * phenological data * southern africa * summer temperatures * historical climate
    OECD category: Climatic research
    Impact factor: 9.8, year: 2022
    Method of publishing: Open access
    https://www.nature.com/articles/s41597-023-02303-y

    Documentary climate data describe evidence of past climate arising from predominantly written historical documents such as diaries, chronicles, newspapers, or logbooks.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 The dataset DOCU-CLIM comprises 621 time series (both published and hitherto unpublished) providing information on historical variations in temperature, precipitation, and wind regime.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.
    Permanent Link: https://hdl.handle.net/11104/0344862

     
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