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

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

doi:10.1038/s41597-023-02303-y

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

Angela-Maria Burgdorf, Stefan Brönnimann

, George Adamson, Tatsuya Amano

, Yasuyuki Aono

, David Barriopedro, Teresa Bullón, Chantal Camenisch, Dario Camuffo, Valérie Daux

, María del Rosario Prieto, Petr Dobrovolný, David Gallego

, Ricardo García-Herrera

, Joelle Gergis, Stefan Grab, Matthew J. Hannaford, Jari Holopainen, Clare Kelso, Zoltán Kern, Andrea Kiss

, Elaine Kuan-Hui Lin, Neil Loader

, Martin Možný, David Nash, Sharon E. Nicholson, Christian Pfister, Fernando S. Rodrigo

, This Rutishauser, Sapna Sharma

, Katalin Takács, Ernesto T. Vargas, Inmaculada Vega

Scientific Data, Volume: 10, Issue: 1

Swansea University Author: Neil Loader

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DOI (Published version): 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Documentary climate data describe evidence of past climate arising from predominantly written historical documents such as diaries, chronicles, newspapers, or logbooks.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 clima...

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Published in:	Scientific Data
ISSN:	2052-4463
Published:	Springer Science and Business Media LLC 2023
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URI:	https://cronfa.swan.ac.uk/Record/cronfa63879
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spelling	v2 63879 2023-07-13 DOCU-CLIM: A global documentary climate dataset for climate reconstructions 8267a62100791965d08df6a7842676e6 0000-0002-6841-1813 Neil Loader Neil Loader true false 2023-07-13 SGE 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. Journal Article Scientific Data 10 1 Springer Science and Business Media LLC 2052-4463 DOCU-CLIM, documentary climate data, climate dataset 23 6 2023 2023-06-23 10.1038/s41597-023-02303-y http://dx.doi.org/10.1038/s41597-023-02303-y COLLEGE NANME Geography COLLEGE CODE SGE Swansea University This work was supported by the European Commission (ERC Grant PALAEO-RA, 787574) and by Swiss National Science Foundation project WeaR (188701). Simulations underlying EKF400v2 were performed at the Swiss National Supercomputing Centre CSCS. ET is supported by a Marie Skłodowska-Curie Action (“ITHACA-101024389”, and the Government of Aragón through the “Program of research groups” (group H09_20R, “Climate, Water, Global Change, and Natural Systems”). 2023-08-23T17:04:19.8794141 2023-07-13T13:03:57.3412399 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Angela-Maria Burgdorf 1 Stefan Brönnimann 0000-0001-9502-7991 2 George Adamson 3 Tatsuya Amano 0000-0001-6576-3410 4 Yasuyuki Aono 0000-0002-6950-4341 5 David Barriopedro 6 Teresa Bullón 7 Chantal Camenisch 8 Dario Camuffo 9 Valérie Daux 0000-0002-8643-260x 10 María del Rosario Prieto 11 Petr Dobrovolný 12 David Gallego 0000-0002-2082-4125 13 Ricardo García-Herrera 0000-0002-3845-7458 14 Joelle Gergis 15 Stefan Grab 16 Matthew J. Hannaford 17 Jari Holopainen 18 Clare Kelso 19 Zoltán Kern 20 Andrea Kiss 0000-0003-4254-2759 21 Elaine Kuan-Hui Lin 22 Neil Loader 0000-0002-6841-1813 23 Martin Možný 24 David Nash 25 Sharon E. Nicholson 26 Christian Pfister 27 Fernando S. Rodrigo 0000-0003-4082-4808 28 This Rutishauser 29 Sapna Sharma 0000-0003-4571-2768 30 Katalin Takács 31 Ernesto T. Vargas 32 Inmaculada Vega 33 63879__28176__3580aedd13e048328c963ad8b39d2db1.pdf 63879.pdf 2023-07-25T15:13:22.0720620 Output 3895547 application/pdf Version of Record true © The Author(s) 2023. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/
title	DOCU-CLIM: A global documentary climate dataset for climate reconstructions
spellingShingle	DOCU-CLIM: A global documentary climate dataset for climate reconstructions Neil Loader
title_short	DOCU-CLIM: A global documentary climate dataset for climate reconstructions
title_full	DOCU-CLIM: A global documentary climate dataset for climate reconstructions
title_fullStr	DOCU-CLIM: A global documentary climate dataset for climate reconstructions
title_full_unstemmed	DOCU-CLIM: A global documentary climate dataset for climate reconstructions
title_sort	DOCU-CLIM: A global documentary climate dataset for climate reconstructions
author_id_str_mv	8267a62100791965d08df6a7842676e6
author_id_fullname_str_mv	8267a62100791965d08df6a7842676e6_***_Neil Loader
author	Neil Loader
author2	Angela-Maria Burgdorf Stefan Brönnimann George Adamson Tatsuya Amano Yasuyuki Aono David Barriopedro Teresa Bullón Chantal Camenisch Dario Camuffo Valérie Daux María del Rosario Prieto Petr Dobrovolný David Gallego Ricardo García-Herrera Joelle Gergis Stefan Grab Matthew J. Hannaford Jari Holopainen Clare Kelso Zoltán Kern Andrea Kiss Elaine Kuan-Hui Lin Neil Loader Martin Možný David Nash Sharon E. Nicholson Christian Pfister Fernando S. Rodrigo This Rutishauser Sapna Sharma Katalin Takács Ernesto T. Vargas Inmaculada Vega
format	Journal article
container_title	Scientific Data
container_volume	10
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publishDate	2023
institution	Swansea University
issn	2052-4463
doi_str_mv	10.1038/s41597-023-02303-y
publisher	Springer Science and Business Media LLC
college_str	Faculty of Science and Engineering
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hierarchy_top_title	Faculty of Science and Engineering
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url	http://dx.doi.org/10.1038/s41597-023-02303-y
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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.
published_date	2023-06-23T17:04:20Z
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DOCU-CLIM: A global documentary climate dataset for climate reconstructions

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