Climate Change Data Portal
DOI | 10.1016/j.quascirev.2020.106530 |
Is there a low-frequency bias in multiproxy reconstructions of tropical pacific SST variability? | |
Loope G.; Thompson D.; Cole J.; Overpeck J. | |
发表日期 | 2020 |
ISSN | 0277-3791 |
卷号 | 246 |
英文摘要 | Decadal and longer-term variability in the tropical Pacific has the potential to impact climate worldwide, yet paleoclimate observations and climate model simulations disagree on the nature of this variability. In this study we investigate whether biases from paleoclimate reconstruction methodology and the currently available proxy network cause reconstructions of ENSO to overestimate the multidecadal-century scale variability of the Pacific. We build new reconstructions using a variety of commonly employed methods and test the effects of four types of bias on analogous pseudoproxy reconstructions. These biases include (1) the number of records used in the reconstruction, (2) chronological uncertainty, (3) noise in individual proxy records, and (4) the geographical distribution of the proxy network. We find that each of these biases cause ENSO reconstructions to overestimate the importance of low-frequency variability. These biases may partially explain why multiproxy reconstructions of Pacific variability have stronger low-frequency variability than predicted by historical observations or climate models, and why these reconstructions do not have coherent signals over the multidecadal-century scale. © 2020 Elsevier Ltd |
英文关键词 | Common era; Coral; ENSO; iCESM; Isotope-enabled climate model; Paleoceanography; paleoclimatology; Proxy systemx model; Pseudoproxy; Tree-rings |
语种 | 英语 |
scopus关键词 | Climatology; Geographical distribution; Tropics; Climate model simulations; Coherent signals; Historical observation; Low frequency variability; Low-frequency; Paleoclimate reconstruction; Paleoclimates; Proxy-networks; Climate models; climate modeling; decadal variation; El Nino-Southern Oscillation; geochronology; geographical distribution; paleoclimate; reconstruction; sea surface temperature; signal-to-noise ratio; Pacific Ocean; Pacific Ocean (Tropical); Anthozoa |
来源期刊 | Quaternary Science Reviews
![]() |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/151321 |
作者单位 | Department of Geosciences, University of Arizona, 1040 E 4th Street, Tucson, AZ 85721, United States; Department of Earth and Environmental Sciences, University of Michigan, 1100 N. University Ave., Ann Arbor, MI 48109, United States; School for Environment and Sustainability, University of Michigan, 440 Church Street, Ann Arbor, MI 48109, United States |
推荐引用方式 GB/T 7714 | Loope G.,Thompson D.,Cole J.,et al. Is there a low-frequency bias in multiproxy reconstructions of tropical pacific SST variability?[J],2020,246. |
APA | Loope G.,Thompson D.,Cole J.,&Overpeck J..(2020).Is there a low-frequency bias in multiproxy reconstructions of tropical pacific SST variability?.Quaternary Science Reviews,246. |
MLA | Loope G.,et al."Is there a low-frequency bias in multiproxy reconstructions of tropical pacific SST variability?".Quaternary Science Reviews 246(2020). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。