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dc.contributor.authorKing, J.M.
dc.contributor.authorAnchukaitis, K.J.
dc.contributor.authorTierney, J.E.
dc.contributor.authorHakim, G.J.
dc.contributor.authorEmile-Geay, J.
dc.contributor.authorZhu, F.
dc.contributor.authorWilson, R.
dc.date.accessioned2021-08-19T21:20:19Z
dc.date.available2021-08-19T21:20:19Z
dc.date.issued2021
dc.identifier.citationKing, J. M., Anchukaitis, K. J., Tierney, J. E., Hakim, G. J., Emile-Geay, J., Zhu, F., & Wilson, R. (2021). A data assimilation approach to last millennium temperature field reconstruction using a limited high-sensitivity proxy network. Journal of Climate, 34(17), 7091–7111.
dc.identifier.issn0894-8755
dc.identifier.doi10.1175/JCLI-D-20-0661.1
dc.identifier.urihttp://hdl.handle.net/10150/661310
dc.description.abstractWe use the Northern Hemisphere Tree-Ring Network Development (NTREND) tree-ring database to examine the effects of using a small, highly sensitive proxy network for paleotemperature data assimilation over the last millennium. We first evaluate our methods using pseudoproxy experiments. These indicate that spatial assimilations using this network are skillful in the extratropical Northern Hemisphere and improve on previous NTREND reconstructions based on point-by-point regression. We also find our method is sensitive to climate model biases when the number of sites becomes small. Based on these experiments, we then assimilate the real NTREND network. To quantify model prior uncertainty, we produce 10 separate reconstructions, each assimilating a different climate model. These reconstructions are most dissimilar prior to 1100 CE, when the network becomes sparse, but show greater consistency as the network grows. Temporal variability is also underestimated before 1100 CE. Our assimilation method produces spatial uncertainty estimates, and these identify tree-line North America and eastern Siberia as regions that would most benefit from development of new millennial-length temperature-sensitive tree-ring records. We compare our multimodel mean reconstruction to five existing paleotemperature products to examine the range of reconstructed responses to radiative forcing. We find substantial differences in the spatial patterns and magnitudes of reconstructed responses to volcanic eruptions and in the transition between the Medieval epoch and Little Ice Age. These extant uncertainties call for the development of a paleoclimate reconstruction intercomparison framework for systematically examining the consequences of proxy network composition and reconstruction methodology and for continued expansion of tree-ring proxy networks. © 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).
dc.language.isoen
dc.publisherAmerican Meteorological Society
dc.rightsCopyright © 2021 American Meteorological Society.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectData assimilation
dc.subjectKalman filters
dc.subjectNorthern hemisphere
dc.subjectPaleoclimate
dc.subjectSurface temperature
dc.subjectTree rings
dc.titleA data assimilation approach to last millennium temperature field reconstruction using a limited high-sensitivity proxy network
dc.typeArticle
dc.typetext
dc.contributor.departmentDepartment of Geosciences, University of Arizona
dc.contributor.departmentLaboratory of Tree-Ring Research, University of Arizona
dc.contributor.departmentSchool of Geography, Development, and Environment, University of Arizona
dc.identifier.journalJournal of Climate
dc.description.note6 month embargo; published online: 27 July 2021
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal published version
dc.source.journaltitleJournal of Climate


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