Articles | Volume 17, issue 2
https://doi.org/10.5194/cp-17-825-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-17-825-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Apr 2021
Research article |
| 08 Apr 2021
| 08 Apr 2021
A spectral approach to estimating the timescale-dependent uncertainty of paleoclimate records – Part 2: Application and interpretation
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Research Unit Potsdam, Telegrafenberg A45, Potsdam, 14473, Germany
Torben Kunz
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Research Unit Potsdam, Telegrafenberg A45, Potsdam, 14473, Germany
Jeroen Groeneveld
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Research Unit Potsdam, Telegrafenberg A45, Potsdam, 14473, Germany
Institute of Geology, Hamburg University, 20146 Hamburg, Germany
Thomas Laepple
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Research Unit Potsdam, Telegrafenberg A45, Potsdam, 14473, Germany
Department of Geosciences, University of Bremen, 28359 Bremen, Germany
MARUM – Center for Marine Environmental Sciences and Faculty of Geosciences, University of Bremen, Bremen, 28334, Germany
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Thomas Münch, Martin Werner, and Thomas Laepple
Clim. Past, 17, 1587–1605, https://doi.org/10.5194/cp-17-1587-2021, https://doi.org/10.5194/cp-17-1587-2021, 2021
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We analyse Holocene climate model simulation data to find the locations of Antarctic ice cores which are best suited to reconstruct local- to regional-scale temperatures. We find that the spatial decorrelation scales of the temperature variations and of the noise from precipitation intermittency set an effective sampling length scale. Following this, a single core should be located at the
target site for the temperature reconstruction, and a second one optimally lies more than 500 km away.
Raphaël Hébert, Kira Rehfeld, and Thomas Laepple
Nonlin. Processes Geophys., 28, 311–328, https://doi.org/10.5194/npg-28-311-2021, https://doi.org/10.5194/npg-28-311-2021, 2021
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Paleoclimate proxy data are essential for broadening our understanding of climate variability. There remain, however, challenges for traditional methods of variability analysis to be applied to such data, which are usually irregular. We perform a comparative analysis of different methods of scaling analysis, which provide variability estimates as a function of timescales, applied to irregular paleoclimate proxy data.
Annette Hahn, Enno Schefuß, Jeroen Groeneveld, Charlotte Miller, and Matthias Zabel
Clim. Past, 17, 345–360, https://doi.org/10.5194/cp-17-345-2021, https://doi.org/10.5194/cp-17-345-2021, 2021
Cited articles
Bemis, B. E., Spero, H. J., Bijma, J., and Lea, D. W.: Reevaluation of the
Oxygen Isotopic Composition of Planktonic Foraminifera: Experimental
Results and Revised Paleotemperature Equations, Paleoceanography, 13,
150–160, https://doi.org/10.1029/98PA00070, 1998. a
Berger, A. and Loutre, M.: Insolation Values for the Climate of the Last 10
Million Years, Quaternary Sci. Rev., 10, 297–317,
https://doi.org/10.1016/0277-3791(91)90033-Q, 1991. a
Berger, W. H. and Heath, G. R.: Vertical Mixing in Pelagic Sediments, J. Mar. Res., 26, 134–143, 1968. a
Bijma, J., Erez, J., and Hemleben, C.: Lunar and Semi-Lunar Reproductive Cycles in Some Spinose Planktonic Foraminifers, J. Foramin. Res.
20, 117–127, 1990. a
Breitkreuz, C., Paul, A., Kurahashi-Nakamura, T., Losch, M., and Schulz, M.: A Dynamical Reconstruction of the Global Monthly Mean Oxygen Isotopic
Composition of Seawater, J. Geophys. Res.-Oceans, 123,
7206–7219, https://doi.org/10.1029/2018JC014300, 2018. a
Dee, S., Emile-Geay, J., Evans, M. N., Allam, A., Steig, E. J., and Thompson, D.: PRYSM: An Open-Source Framework for PRoxY System Modeling,
with Applications to Oxygen-Isotope Systems, J. Adv. Model. Earth Sy., 7, 1220–1247, https://doi.org/10.1002/2015MS000447, 2015. a, b
Dolman, A. M.: EarthSystemDiagnostics/Psem: Psem-Pub-Rev-1, Zenodo, https://doi.org/10.5281/zenodo.4271300, 2020 (data available at: https://github.com/EarthSystemDiagnostics/psem, last access: 24 March 2021). a
Dolman, A. M. and Laepple, T.: Sedproxy: a forward model for sediment-archived climate proxies, Clim. Past, 14, 1851–1868, https://doi.org/10.5194/cp-14-1851-2018, 2018. a, b, c, d
Dolman, A. M., Groeneveld, J., Mollenhauer, G., Ho, S. L., and Laepple, T.: Estimating Bioturbation from Replicated Small-Sample Radiocarbon Ages., Earth Space Sci. Open Arch., pp. 19, https://doi.org/10.1002/essoar.10504501.2, submitted, 2020. a
Duplessy, J. C., Lalou, C., and Vinot, A. C.: Differential Isotopic
Fractionation in Benthic Foraminifera and Paleotemperatures
Reassessed, Science, 168, 250–251, https://doi.org/10.1126/science.168.3928.250,
1970. a
Evans, M. N., Tolwinski-Ward, S. E., Thompson, D. M., and Anchukaitis, K. J.: Applications of Proxy System Modeling in High Resolution Paleoclimatology, Quaternary Sci. Rev., 76, 16–28,
https://doi.org/10.1016/j.quascirev.2013.05.024, 2013. a
Fedorov, A. V., Brierley, C. M., Lawrence, K. T., Liu, Z., Dekens, P. S., and
Ravelo, A. C.: Patterns and Mechanisms of Early Pliocene Warmth, Nature,
496, 43–49, https://doi.org/10.1038/nature12003, 2013. a
Gagan, M. K., Dunbar, G. B., and Suzuki, A.: The Effect of Skeletal Mass
Accumulation in Porites on Coral Sr
Goosse, H., Renssen, H., Timmermann, A., Bradley, R. S., and Mann, M. E.: Using Paleoclimate Proxy-Data to Select Optimal Realisations in an Ensemble of Simulations of the Climate of the Past Millennium, Clim. Dyn., 27,
165–184, https://doi.org/10.1007/s00382-006-0128-6, 2006. a
Groeneveld, J., Ho, S. L., Mackensen, A., Mohtadi, M., and Laepple, T.:
Deciphering the Variability in Mg/Ca and Stable Oxygen Isotopes of
Individual Foraminifera, Paleoceanogr. Paleoclim., 34, 755–773,
https://doi.org/10.1029/2018PA003533, 2019. a
Haarmann, T., Hathorne, E. C., Mohtadi, M., Groeneveld, J., Kölling, M.,
and Bickert, T.: Mg
Hargreaves, J. C., Paul, A., Ohgaito, R., Abe-Ouchi, A., and Annan, J. D.: Are paleoclimate model ensembles consistent with the MARGO data synthesis?, Clim. Past, 7, 917–933, https://doi.org/10.5194/cp-7-917-2011, 2011. a
Hebbeln, D. and cruise participants: Report and Preliminary Results of RV
Sonne Cruise SO-184, Pabesia, Durban (South Africa) -
Cilacap (Indonesia) - Darwin (Australia), July 8th -
September 13th, 2005, vol. 246, Department of Geosciences, Bremen
University, 2006. a
Johnsen, S. J., Clausen, H. B., Cuffey, K. M., Hoffmann, G., Schwander, J., and Creyts, T.: Diffusion of Stable Isotopes in Polar Firn and Ice: The Isotope Effect in Firn Diffusion, in: Physics of Ice Core Records, vol. 159, edited by: Hondoh, T., Hokkaido University Press, Sapporo,
Japan, 121–140, 2000. a
Jonkers, L. and Kučera, M.: Global analysis of seasonality in the shell flux of extant planktonic Foraminifera, Biogeosciences, 12, 2207–2226, https://doi.org/10.5194/bg-12-2207-2015, 2015. a
Kirchner, J. W.: Aliasing in
Kunz, T., Dolman, A. M., and Laepple, T.: A spectral approach to estimating the timescale-dependent uncertainty of paleoclimate records – Part 1: Theoretical concept, Clim. Past, 16, 1469–1492, https://doi.org/10.5194/cp-16-1469-2020, 2020. a, b
Laepple, T. and Huybers, P.: Reconciling Discrepancies between Uk37 and
Mg
Laepple, T. and Huybers, P.: Global and Regional Variability in Marine Surface Temperatures, Geophys. Res. Lett., 41, 2528–2534,
https://doi.org/10.1002/2014GL059345, 2014a. a
Laepple, T. and Huybers, P.: Ocean Surface Temperature Variability: Large
Model – Data Differences at Decadal and Longer Periods, P. Natl. Acad. Sci., 111, 16682–16687,
https://doi.org/10.1073/pnas.1412077111, 2014b. a
Leduc, G., Schneider, R., Kim, J.-H., and Lohmann, G.: Holocene and Eemian Sea Surface Temperature Trends as Revealed by Alkenone and Mg
Lohmann, G., Pfeiffer, M., Laepple, T., Leduc, G., and Kim, J.-H.: A model–data comparison of the Holocene global sea surface temperature evolution, Clim. Past, 9, 1807–1839, https://doi.org/10.5194/cp-9-1807-2013, 2013. a
Lovejoy, S.: A Voyage through Scales, a Missing Quadrillion and Why the Climate Is Not What You Expect, Clim. Dyn., 44, 3187–3210, 2015. a
Marcott, S. A., Shakun, J. D., Clark, P. U., and Mix, A. C.: A
Reconstruction of Regional and Global Temperature for the
Past 11,300 Years, Science, 339, 1198–1201,
https://doi.org/10.1126/science.1228026, 2013. a, b
Medina-Elizalde, M., Lea, D. W., and Fantle, M. S.: Implications of Seawater Mg
Moberg, A. and Brattström, G.: Prediction Intervals for Climate
Reconstructions with Autocorrelated Noise – An Analysis of
Ordinary Least Squares and Measurement Error Methods, Palaeogeogr.
Palaeoclimatol. Palaeoecol., 308, 313–329,
https://doi.org/10.1016/j.palaeo.2011.05.035, 2011. a
Mohtadi, M., Oppo, D. W., Steinke, S., Stuut, J.-B. W., De Pol-Holz, R.,
Hebbeln, D., and Lückge, A.: Glacial to Holocene Swings of the
Australian-Indonesian Monsoon, Nat. Geosci., 4, 540–544,
https://doi.org/10.1038/ngeo1209, 2011. a
Reimer, P. J., Bard, E., Bayliss, A., Beck, J. W., Blackwell, P. G., Ramsey,
C. B., Buck, C. E., Cheng, H., Edwards, R. L., Friedrich, M., Grootes, P. M.,
Guilderson, T. P., Haflidason, H., Hajdas, I., Hatté, C., Heaton, T. J.,
Hoffmann, D. L., Hogg, A. G., Hughen, K. A., Kaiser, K. F., Kromer, B.,
Manning, S. W., Niu, M., Reimer, R. W., Richards, D. A., Scott, E. M.,
Southon, J. R., Staff, R. A., Turney, C. S. M., and van der Plicht, J.:
IntCal13 and Marine13 Radiocarbon Age Calibration Curves 0–50,000 Years Cal BP, Radiocarbon, 55, 1869–1887,
https://doi.org/10.2458/azu_js_rc.55.16947, 2013. a
Reschke, M., Kunz, T., and Laepple, T.: Comparing Methods for Analysing Time
Scale Dependent Correlations in Irregularly Sampled Time Series Data,
Comput. Geosci., 123, 65–72, https://doi.org/10.1016/j.cageo.2018.11.009,
2019. a
Sadekov, A., Eggins, S. M., De Deckker, P., and Kroon, D.: Uncertainties in
Seawater Thermometry Deriving from Intratest and Intertest Mg
Schiffelbein, P. and Hills, S.: Direct Assessment of Stable Isotope Variability in Planktonic Foraminifera Populations, Palaeogeogr. Palaeoclimatol. Palaeoecol., 48, 197–213, https://doi.org/10.1016/0031-0182(84)90044-0, 1984. a, b
Schmitt, F., Lovejoy, S., and Schertzer, D.: Multifractal Analysis of the
Greenland Ice-Core Project Climate Data, Geophys. Res.
Lett., 22, 1689–1692, https://doi.org/10.1029/95GL01522, 1995. a
Shackleton, N. J.: Attainment of Isotopic Equilibrium between Ocean Water and
the Benthonic Foraminifera Genus Uvigerina, in: Isotopic Changes in the
Ocean during the Last Glacial, Cent. Nat. Rech.
Sci. Colloq. Int., 219, 203–209, 1974. a
Shakun, J. D., Clark, P. U., He, F., Marcott, S. A., Mix, A. C., Liu, Z.,
Otto-Bliesner, B., Schmittner, A., and Bard, E.: Global Warming Preceded by
Increasing Carbon Dioxide Concentrations during the Last Deglaciation,
Nature, 484, 49–54, https://doi.org/10.1038/nature10915, 2012. a, b
Spero, H. J.: Life History and Stable Isotope Geochemistry of
Planktonic Foraminifera, Paleontol. Soc. Papers, 4, 7–36,
https://doi.org/10.1017/S1089332600000383, 1998. a
Thirumalai, K., DiNezio, P. N., Tierney, J. E., Puy, M., and Mohtadi, M.: An
El Niño Mode in the Glacial Indian Ocean?, Paleoceanogr.
Paleoclimatol., 34, 1316–1327, https://doi.org/10.1029/2019PA003669, 2019. a
Short summary
Uncertainties in climate proxy records are temporally autocorrelated. By deriving expressions for the power spectra of errors in proxy records, we can estimate appropriate uncertainties for any timescale, for example, for temporally smoothed records or for time slices. Here we outline and demonstrate this approach for climate proxies recovered from marine sediment cores.
Uncertainties in climate proxy records are temporally autocorrelated. By deriving expressions...
