Estimating the timescale-dependent uncertainty of paleoclimate records – a spectral approach. Part II: Application and interpretation

A. Dolman, T. Kunz, J. Groeneveld, T. Laepple
{"title":"Estimating the timescale-dependent uncertainty of paleoclimate records – a spectral approach. Part II: Application and interpretation","authors":"A. Dolman, T. Kunz, J. Groeneveld, T. Laepple","doi":"10.5194/cp-2019-153","DOIUrl":null,"url":null,"abstract":"Abstract. Proxy climate records are an invaluable source of information about the earth’s climate prior to the instrumental record. The temporal- and spatial-coverage of records continues to increase, however, these records of past climate are associated with significant uncertainties due to non-climate processes that influence the recorded and measured proxy values. Generally, these uncertainties are timescale-dependent and correlated in time. Accounting for structure in the errors is essential to providing realistic error estimates for smoothed or stacked records, detection of anomalies and identifying trend, but this structure is seldom accounted for. In the first of these companion articles we outlined a theoretical framework for handling proxy uncertainties by deriving the power spectrum of proxy error components from which it is possible to obtain timescale-dependent error estimates. Here in part II, we demonstrate the practical application of this theoretical framework using the example of marine sediment cores. We consider how to obtain estimates for the required parameters and give examples of the application of this approach for typical marine sediment proxy records. Our new approach of estimating and providing timescale-dependent proxy errors overcomes the limitations of simplistic single value error estimates. We aim to provide the conceptual basis for a more quantitative use of paleo-records for applications such as model-data comparison, regional and global synthesis of past climate states and data assimilation.","PeriodicalId":263057,"journal":{"name":"Climate of The Past Discussions","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Climate of The Past Discussions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/cp-2019-153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Abstract. Proxy climate records are an invaluable source of information about the earth’s climate prior to the instrumental record. The temporal- and spatial-coverage of records continues to increase, however, these records of past climate are associated with significant uncertainties due to non-climate processes that influence the recorded and measured proxy values. Generally, these uncertainties are timescale-dependent and correlated in time. Accounting for structure in the errors is essential to providing realistic error estimates for smoothed or stacked records, detection of anomalies and identifying trend, but this structure is seldom accounted for. In the first of these companion articles we outlined a theoretical framework for handling proxy uncertainties by deriving the power spectrum of proxy error components from which it is possible to obtain timescale-dependent error estimates. Here in part II, we demonstrate the practical application of this theoretical framework using the example of marine sediment cores. We consider how to obtain estimates for the required parameters and give examples of the application of this approach for typical marine sediment proxy records. Our new approach of estimating and providing timescale-dependent proxy errors overcomes the limitations of simplistic single value error estimates. We aim to provide the conceptual basis for a more quantitative use of paleo-records for applications such as model-data comparison, regional and global synthesis of past climate states and data assimilation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
估算古气候记录随时间变化的不确定性——光谱方法。第二部分:应用与解释
摘要代用气候记录是在仪器记录之前关于地球气候的宝贵信息来源。记录的时间和空间覆盖范围继续增加,然而,这些过去气候记录由于影响记录和测量的代用值的非气候过程而具有重大的不确定性。一般来说,这些不确定性是时间尺度相关的,在时间上是相关的。考虑误差中的结构对于为平滑或叠加记录提供现实的误差估计、异常检测和趋势识别至关重要,但这种结构很少被考虑在内。在这些配套文章的第一篇中,我们概述了通过推导代理误差分量的功率谱来处理代理不确定性的理论框架,从中可以获得与时间尺度相关的误差估计。在第二部分中,我们以海洋沉积物岩心为例,演示了这一理论框架的实际应用。我们考虑了如何获得所需参数的估计,并给出了该方法在典型海洋沉积物代理记录中的应用实例。我们的新方法估计和提供时间尺度相关的代理误差克服了简单的单值误差估计的局限性。我们的目标是为更定量地使用古记录的应用提供概念基础,如模式数据比较,过去气候状态的区域和全球综合以及数据同化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Spring onset and seasonality patterns during the Lateglacial in the eastern Baltic region Simulated range of mid-Holocene precipitation changes to extended lakes and wetlands over North Africa Supplementary material to "Low-latitude climate change linked to high-latitude glaciation during the Late Paleozoic Ice Age: evidence from the terrigenous detrital kaolinite" Holocene wildfire regimes in forested peatlands in western Siberia: interaction between peatland moisture conditions and the composition of plant functional types Summer sea-ice variability on the Antarctic margin during the last glacial period reconstructed from snow petrel (Pagodroma nivea) stomach-oil deposits
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1