Reconstructing Holocene temperatures in time and space using paleoclimate data assimilation

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dc.citation.firstpage2599
dc.citation.issueNumber12
dc.citation.journalTitleClimate of the Past
dc.citation.lastpage2629
dc.citation.volumeNumber18
dc.contributor.authorErb, Michael P.
dc.contributor.authorMcKay, Nicholas P.
dc.contributor.authorSteiger, Nathan
dc.contributor.authorDee, Sylvia
dc.contributor.authorHancock, Chris
dc.contributor.authorIvanovic, Ruza F.
dc.contributor.authorGregoire, Lauren J.
dc.contributor.authorValdes, Paul
dc.date.accessioned2023-01-27T14:47:23Z
dc.date.available2023-01-27T14:47:23Z
dc.date.issued2022
dc.description.abstractPaleoclimatic records provide valuable information about Holocene climate, revealing aspects of climate variability for a multitude of sites around the world. However, such data also possess limitations. Proxy networks are spatially uneven, seasonally biased, uncertain in time, and present a variety of challenges when used in concert to illustrate the complex variations of past climate. Paleoclimatic data assimilation provides one approach to reconstructing past climate that can account for the diverse nature of proxy records while maintaining the physics-based covariance structures simulated by climate models. Here, we use paleoclimate data assimilation to create a spatially complete reconstruction of temperature over the past 12 000 years using proxy data from the Temperature 12k database and output from transient climate model simulations. Following the last glacial period, the reconstruction shows Holocene temperatures warming to a peak near 6400 years ago followed by a slow cooling toward the present day, supporting a mid-Holocene which is at least as warm as the preindustrial. Sensitivity tests show that if proxies have an overlooked summer bias, some apparent mid-Holocene warmth could actually represent summer trends rather than annual mean trends. Regardless, the potential effects of proxy seasonal biases are insufficient to align the reconstructed global mean temperature with the warming trends seen in transient model simulations.
dc.identifier.citationErb, Michael P., McKay, Nicholas P., Steiger, Nathan, et al.. "Reconstructing Holocene temperatures in time and space using paleoclimate data assimilation." <i>Climate of the Past,</i> 18, no. 12 (2022) Copernicus Publications: 2599-2629. https://doi.org/10.5194/cp-18-2599-2022.
dc.identifier.digitalcp-18-2599-2022
dc.identifier.doihttps://doi.org/10.5194/cp-18-2599-2022
dc.identifier.urihttps://hdl.handle.net/1911/114271
dc.language.isoeng
dc.publisherCopernicus Publications
dc.rightsThis work is distributed under the Creative Commons Attribution 4.0 License.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleReconstructing Holocene temperatures in time and space using paleoclimate data assimilation
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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