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 j. Loader; Martin Možný; David Nash; Sharon e. Nicholson; Christian Pfister; Fernando s. Rodrigo; This Rutishauser; Sapna Sharma; Katalin Takács; Ernesto t. Vargas; Inmaculada Vega

doi:10.1038/s41597-023-02303-y

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 KernAndrea Kiss, Elaine Kuan-Hui lin, Neil j. Loader, Martin Možný, David Nash, Sharon e. Nicholson, Christian Pfister, Fernando s. Rodrigo, This Rutishauser, Sapna Sharma, Katalin Takács, Ernesto t. Vargas, Inmaculada Vega

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Documentary climate data describe evidence of past climate arising from predominantly written historical documents such as diaries, chronicles, newspapers, or logbooks.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 The dataset DOCU-CLIM comprises 621 time series (both published and hitherto unpublished) providing information on historical variations in temperature, precipitation, and wind regime.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

Original language	English
Article number	402
Journal	Scientific Data
Volume	10
Issue number	1
Early online date	23 Jun 2023
DOIs	https://doi.org/10.1038/s41597-023-02303-y
Publication status	Published - Jun 2023

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Burgdorf et al. 2023Licence: CC BY

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Burgdorf, A.-M., Brönnimann, S., Adamson, G., Amano, T., Aono, Y., Barriopedro, D., Bullón, T., Camenisch, C., Camuffo, D., Daux, V., Del rosario prieto, M., Dobrovolný, P., Gallego, D., García-Herrera, R., Gergis, J., Grab, S., Hannaford, M. J., Holopainen, J., Kelso, C., ... Vega, I. (2023). DOCU-CLIM: A global documentary climate dataset for climate reconstructions. Scientific Data, 10(1), Article 402. https://doi.org/10.1038/s41597-023-02303-y

@article{0cab2843ab0443a09d91ac7e0ea287a3,

title = "DOCU-CLIM: A global documentary climate dataset for climate reconstructions",

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 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.",

author = "Angela-Maria Burgdorf and Stefan Br{\"o}nnimann and George Adamson and Tatsuya Amano and Yasuyuki Aono and David Barriopedro and Teresa Bull{\'o}n and Chantal Camenisch and Dario Camuffo and Val{\'e}rie Daux and {Del rosario prieto}, Mar{\'i}a and Petr Dobrovoln{\'y} and David Gallego and Ricardo Garc{\'i}a-Herrera and Joelle Gergis and Stefan Grab and Hannaford, {Matthew j.} and Jari Holopainen and Clare Kelso and Zolt{\'a}n Kern and Andrea Kiss and {Kuan-Hui lin}, Elaine and Loader, {Neil j.} and Martin Mo{\v z}n{\'y} and David Nash and Nicholson, {Sharon e.} and Christian Pfister and Rodrigo, {Fernando s.} and This Rutishauser and Sapna Sharma and Katalin Tak{\'a}cs and Vargas, {Ernesto t.} and Inmaculada Vega",

note = "Funding Information: 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 Sk{\l}odowska-Curie Action (“ITHACA-101024389”, and the Government of Arag{\'o}n through the “Program of research groups” (group H09_20R, “Climate, Water, Global Change, and Natural Systems”). Funding Information: 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 Sk{\l}odowska-Curie Action (“ITHACA-101024389”, and the Government of Arag{\'o}n through the “Program of research groups” (group H09_20R, “Climate, Water, Global Change, and Natural Systems”). Publisher Copyright: {\textcopyright} 2023, The Author(s).",

year = "2023",

month = jun,

doi = "10.1038/s41597-023-02303-y",

language = "English",

volume = "10",

journal = "Scientific Data",

publisher = "Nature Publishing Group",

number = "1",

}

Burgdorf, A-M, Brönnimann, S, Adamson, G, Amano, T, Aono, Y, Barriopedro, D, Bullón, T, Camenisch, C, Camuffo, D, Daux, V, Del rosario prieto, M, Dobrovolný, P, Gallego, D, García-Herrera, R, Gergis, J, Grab, S, Hannaford, MJ, Holopainen, J, Kelso, C, Kern, Z, Kiss, A, Kuan-Hui lin, E, Loader, NJ, Možný, M, Nash, D, Nicholson, SE, Pfister, C, Rodrigo, FS, Rutishauser, T, Sharma, S, Takács, K, Vargas, ET & Vega, I 2023, 'DOCU-CLIM: A global documentary climate dataset for climate reconstructions', Scientific Data, vol. 10, no. 1, 402. https://doi.org/10.1038/s41597-023-02303-y

TY - JOUR

T1 - DOCU-CLIM: A global documentary climate dataset for climate reconstructions

AU - Burgdorf, Angela-Maria

AU - Brönnimann, Stefan

AU - Adamson, George

AU - Amano, Tatsuya

AU - Aono, Yasuyuki

AU - Barriopedro, David

AU - Bullón, Teresa

AU - Camenisch, Chantal

AU - Camuffo, Dario

AU - Daux, Valérie

AU - Del rosario prieto, María

AU - Dobrovolný, Petr

AU - Gallego, David

AU - García-Herrera, Ricardo

AU - Gergis, Joelle

AU - Grab, Stefan

AU - Hannaford, Matthew j.

AU - Holopainen, Jari

AU - Kelso, Clare

AU - Kern, Zoltán

AU - Kiss, Andrea

AU - Kuan-Hui lin, Elaine

AU - Loader, Neil j.

AU - Možný, Martin

AU - Nash, David

AU - Nicholson, Sharon e.

AU - Pfister, Christian

AU - Rodrigo, Fernando s.

AU - Rutishauser, This

AU - Sharma, Sapna

AU - Takács, Katalin

AU - Vargas, Ernesto t.

AU - Vega, Inmaculada

N1 - Funding Information: 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”). Funding Information: 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”). Publisher Copyright: © 2023, The Author(s).

PY - 2023/6

Y1 - 2023/6

N2 - 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.

AB - 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.

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U2 - 10.1038/s41597-023-02303-y

DO - 10.1038/s41597-023-02303-y

M3 - Article

VL - 10

JO - Scientific Data

JF - Scientific Data

IS - 1

M1 - 402

ER -

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

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