Publication details

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

Authors

BURGDORF Angela-Maria BRÖNNIMANN Stefan ADAMSON George AMANO Tatsuya AONO Yasuyuki BARRIOPEDRO David BULLÓN Teresa CAMENISCH Chantal CAMUFFO Dario DAUX Valérie PRIETO María del Rosario DOBROVOLNÝ Petr GALLEGO David GARCIA-HERRERA Ricardo GERGIS Joelle GRAB Stefan HANNAFORD Matthew J HOLOPAINEN Jari KELSO Clare KERN Zoltán KISS Andrea LIN Elaine Kuan-Hui 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

Year of publication 2023
Type Article in Periodical
Magazine / Source Scientific Data
MU Faculty or unit

Faculty of Science

Citation
Web https://doi.org/10.1038/s41597-023-02303-y
Doi http://dx.doi.org/10.1038/s41597-023-02303-y
Keywords Atmospheric science; Palaeoclimate
Description Documentary climate data describe evidence of past climate arising from predominantly written historical documents such as diaries, chronicles, newspapers, or logbooks.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 The dataset DOCU-CLIM comprises 621 time series (both published and hitherto unpublished) providing information on historical variations in temperature, precipitation, and wind regime.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.

You are running an old browser version. We recommend updating your browser to its latest version.

More info