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

Author:

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

Abstract

AbstractDocumentary climate data describe evidence of past climate arising from predominantly written historical documents such as diaries, chronicles, newspapers, or logbooks.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 The dataset DOCU-CLIM comprises 621 time series (both published and hitherto unpublished) providing information on historical variations in temperature, precipitation, and wind regime.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

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3