TY - JOUR
T1 - Improved spectral comparisons of paleoclimate models and observations via proxy system modeling
T2 - Implications for multi-decadal variability
AU - Dee, S. G.
AU - Parsons, L. A.
AU - Loope, G. R.
AU - Overpeck, J. T.
AU - Ault, T. R.
AU - Emile-Geay, J.
N1 - Funding Information:
This work was funded by Brown University's Institute for Environment and Society via the Voss Postdoctoral Fellowship, as well as NOAA Climate Change Data and Detection grant NA10OAR4310115 and the National Science Foundation EaSM2 Grant ( AGS1243125 ). The authors would like to thank James Russell for helpful thoughts and feedback on this project. In addition, the authors thank Dr. Thomas Laepple for his help in reviewing this manuscript and helping to improve the models and methodology, and Thomas Münch for his help improving the ice core model. The authors additionally thank three anonymous reviewers and editor Dr. Heather Stoll for their helpful insights which improved this manuscript. Appendix A
Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/10/15
Y1 - 2017/10/15
N2 - The spectral characteristics of paleoclimate observations spanning the last millennium suggest the presence of significant low-frequency (multi-decadal to centennial scale) variability in the climate system. Since this low-frequency climate variability is critical for climate predictions on societally-relevant scales, it is essential to establish whether General Circulation models (GCMs) are able to simulate it faithfully. Recent studies find large discrepancies between models and paleoclimate data at low frequencies, prompting concerns surrounding the ability of GCMs to predict long-term, high-magnitude variability under greenhouse forcing (Laepple and Huybers, 2014a, 2014b). However, efforts to ground climate model simulations directly in paleoclimate observations are impeded by fundamental differences between models and the proxy data: proxy systems often record a multivariate and/or nonlinear response to climate, precluding a direct comparison to GCM output. In this paper we bridge this gap via a forward proxy modeling approach, coupled to an isotope-enabled GCM. This allows us to disentangle the various contributions to signals embedded in ice cores, speleothem calcite, coral aragonite, tree-ring width, and tree-ring cellulose. The paper addresses the following questions: (1) do forward-modeled “pseudoproxies” exhibit variability comparable to proxy data? (2) if not, which processes alter the shape of the spectrum of simulated climate variability, and are these processes broadly distinguishable from climate? We apply our method to representative case studies, and broaden these insights with an analysis of the PAGES2k database (PAGES2K Consortium, 2013). We find that current proxy system models (PSMs) can help resolve model-data discrepancies on interannual to decadal timescales, but cannot account for the mismatch in variance on multi-decadal to centennial timescales. We conclude that, specific to this set of PSMs and isotope-enabled model, the paleoclimate record may exhibit larger low-frequency variability than GCMs currently simulate, indicative of incomplete physics and/or forcings.
AB - The spectral characteristics of paleoclimate observations spanning the last millennium suggest the presence of significant low-frequency (multi-decadal to centennial scale) variability in the climate system. Since this low-frequency climate variability is critical for climate predictions on societally-relevant scales, it is essential to establish whether General Circulation models (GCMs) are able to simulate it faithfully. Recent studies find large discrepancies between models and paleoclimate data at low frequencies, prompting concerns surrounding the ability of GCMs to predict long-term, high-magnitude variability under greenhouse forcing (Laepple and Huybers, 2014a, 2014b). However, efforts to ground climate model simulations directly in paleoclimate observations are impeded by fundamental differences between models and the proxy data: proxy systems often record a multivariate and/or nonlinear response to climate, precluding a direct comparison to GCM output. In this paper we bridge this gap via a forward proxy modeling approach, coupled to an isotope-enabled GCM. This allows us to disentangle the various contributions to signals embedded in ice cores, speleothem calcite, coral aragonite, tree-ring width, and tree-ring cellulose. The paper addresses the following questions: (1) do forward-modeled “pseudoproxies” exhibit variability comparable to proxy data? (2) if not, which processes alter the shape of the spectrum of simulated climate variability, and are these processes broadly distinguishable from climate? We apply our method to representative case studies, and broaden these insights with an analysis of the PAGES2k database (PAGES2K Consortium, 2013). We find that current proxy system models (PSMs) can help resolve model-data discrepancies on interannual to decadal timescales, but cannot account for the mismatch in variance on multi-decadal to centennial timescales. We conclude that, specific to this set of PSMs and isotope-enabled model, the paleoclimate record may exhibit larger low-frequency variability than GCMs currently simulate, indicative of incomplete physics and/or forcings.
KW - climate variability
KW - data-model comparison
KW - general circulation models
KW - paleoclimatology
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U2 - 10.1016/j.epsl.2017.07.036
DO - 10.1016/j.epsl.2017.07.036
M3 - Article
AN - SCOPUS:85028508333
SN - 0012-821X
VL - 476
SP - 34
EP - 46
JO - Earth and Planetary Science Letters
JF - Earth and Planetary Science Letters
ER -