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CP | Articles | Volume 14, issue 12
Clim. Past, 14, 1851-1868, 2018
https://doi.org/10.5194/cp-14-1851-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-14-1851-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue: Paleoclimate data synthesis and analysis of associated uncertainty...
Clim. Past, 14, 1851-1868, 2018
https://doi.org/10.5194/cp-14-1851-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-14-1851-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article 30 Nov 2018
Research article | 30 Nov 2018
Sedproxy: a forward model for sediment-archived climate proxies
Andrew M. Dolman and Thomas LaeppleRelated authors
No articles found.
Maria Reschke, Kira Rehfeld, and Thomas Laepple
Clim. Past, 15, 521-537, https://doi.org/10.5194/cp-15-521-2019, https://doi.org/10.5194/cp-15-521-2019, 2019
Short summary
Short summary
We empirically estimate signal-to-noise ratios of temperature proxy records used in global compilations of the middle to late Holocene by comparing the spatial correlation structure of proxy records and climate model simulations accounting for noise and time uncertainty. We find that low signal contents of the proxy records or, alternatively, more localised climate variations recorded by proxies than suggested by current model simulations suggest caution when interpreting multi-proxy datasets.
Thomas Münch and Thomas Laepple
Clim. Past, 14, 2053-2070, https://doi.org/10.5194/cp-14-2053-2018, https://doi.org/10.5194/cp-14-2053-2018, 2018
Short summary
Short summary
Proxy data on climate variations contain noise from many sources and, for reliable estimates, we need to determine those temporal scales at which the climate signal in the proxy record dominates the noise. We developed a method to derive timescale-dependent estimates of temperature proxy signal-to-noise ratios, which we apply and discuss in the context of Antarctic ice-core records but which in general are applicable to a large set of palaeoclimate records.
Mathieu Casado, Amaelle Landais, Ghislain Picard, Thomas Münch, Thomas Laepple, Barbara Stenni, Giuliano Dreossi, Alexey Ekaykin, Laurent Arnaud, Christophe Genthon, Alexandra Touzeau, Valerie Masson-Delmotte, and Jean Jouzel
The Cryosphere, 12, 1745-1766, https://doi.org/10.5194/tc-12-1745-2018, https://doi.org/10.5194/tc-12-1745-2018, 2018
Short summary
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Ice core isotopic records rely on the knowledge of the processes involved in the archival processes of the snow. In the East Antarctic Plateau, post-deposition processes strongly affect the signal found in the surface and buried snow compared to the initial climatic signal. We evaluate the different contributions to the surface snow isotopic composition between the precipitation and the exchanges with the atmosphere and the variability of the isotopic signal found in profiles from snow pits.
Thomas Laepple, Thomas Münch, Mathieu Casado, Maria Hoerhold, Amaelle Landais, and Sepp Kipfstuhl
The Cryosphere, 12, 169-187, https://doi.org/10.5194/tc-12-169-2018, https://doi.org/10.5194/tc-12-169-2018, 2018
Short summary
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We explain why snow pits across different sites in East Antarctica show visually similar isotopic variations. We argue that the similarity and the apparent cycles of around 20 cm in the δD and δ18O variations are the result of a seasonal cycle in isotopes, noise, for example from precipitation intermittency, and diffusion. The near constancy of the diffusion length across many ice-coring sites explains why the structure and cycle length is largely independent of the accumulation conditions.
Thomas Münch, Sepp Kipfstuhl, Johannes Freitag, Hanno Meyer, and Thomas Laepple
The Cryosphere, 11, 2175-2188, https://doi.org/10.5194/tc-11-2175-2017, https://doi.org/10.5194/tc-11-2175-2017, 2017
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The importance of post-depositional changes for the temperature interpretation of water isotopes is poorly constrained by observations. Here, for the first time, temporal isotope changes in the open-porous firn are directly analysed using a large array of shallow isotope profiles. By this, we can reject the possibility of post-depositional change beyond diffusion and densification as the cause of the discrepancy between isotope and local temperature variations at Kohnen Station, East Antarctica.
Kira Rehfeld, Mathias Trachsel, Richard J. Telford, and Thomas Laepple
Clim. Past, 12, 2255-2270, https://doi.org/10.5194/cp-12-2255-2016, https://doi.org/10.5194/cp-12-2255-2016, 2016
Short summary
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Indirect evidence on past climate comes from the former composition of ecological communities such as plants, preserved as pollen grains in sediments of lakes. Transfer functions convert relative counts of species to a climatologically meaningful scale (e.g. annual mean temperature in degrees C). We show that the fundamental assumptions in the algorithms impact the reconstruction results in he idealized model world, in particular if the reconstructed variables were not ecologically relevant.
Mathieu Casado, Amaelle Landais, Ghislain Picard, Thomas Münch, Thomas Laepple, Barbara Stenni, Giuliano Dreossi, Alexey Ekaykin, Laurent Arnaud, Christophe Genthon, Alexandra Touzeau, Valérie Masson-Delmotte, and Jean Jouzel
The Cryosphere Discuss., https://doi.org/10.5194/tc-2016-263, https://doi.org/10.5194/tc-2016-263, 2016
Revised manuscript not accepted
Short summary
Short summary
Ice core isotopic records rely on the knowledge of the processes involved in the archival of the snow. In the East Antarctic Plateau, post-deposition processes strongly affect the signal found in the surface and buried snow compared to the initial climatic signal. We evaluate the different contributions to the surface snow isotopic composition between the precipitation and the exchanges with the atmosphere and the variability of the isotopic signal found in profiles from snow pits.
Thomas Münch, Sepp Kipfstuhl, Johannes Freitag, Hanno Meyer, and Thomas Laepple
Clim. Past, 12, 1565-1581, https://doi.org/10.5194/cp-12-1565-2016, https://doi.org/10.5194/cp-12-1565-2016, 2016
Short summary
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Ice-core oxygen isotope ratios are a key climate archive to infer past temperatures, an interpretation however complicated by non-climatic noise. Based on 50 m firn trenches, we present for the first time a two-dimensional view (vertical × horizontal) of how oxygen isotopes are stored in Antarctic firn. A statistical noise model allows inferences for the validity of ice coring efforts to reconstruct past temperatures, highlighting the need of replicate cores for Holocene climate reconstructions.
Related subject area
Subject: Proxy Use-Development-Validation | Archive: Marine Archives | Timescale: Holocene
Empirical estimate of the signal content of Holocene temperature proxy records
Tracing winter temperatures over the last two millennia using a north-east Atlantic coastal record
The 3.6 ka Aniakchak tephra in the Arctic Ocean: a constraint on the Holocene radiocarbon reservoir age in the Chukchi Sea
Sedimentary archives of climate and sea-level changes during the Holocene in the Rhône prodelta (NW Mediterranean Sea)
Holocene hydrological changes in the Rhône River (NW Mediterranean) as recorded in the marine mud belt
Technical note: Estimating unbiased transfer-function performances in spatially structured environments
Holocene climate variability in the North-Western Mediterranean Sea (Gulf of Lions)
Eastern Mediterranean Sea circulation inferred from the conditions of S1 sapropel deposition
Evidence for the non-influence of salinity variability on the Porites coral Sr/Ca palaeothermometer
Holocene sub-centennial evolution of Atlantic water inflow and sea ice distribution in the western Barents Sea
Long-term variations in Iceland–Scotland overflow strength during the Holocene
Seemingly divergent sea surface temperature proxy records in the central Mediterranean during the last deglaciation
Natural variability and anthropogenic effects in a Central Mediterranean core
The extra-tropical Northern Hemisphere temperature in the last two millennia: reconstructions of low-frequency variability
Tracking climate variability in the western Mediterranean during the Late Holocene: a multiproxy approach
Late Holocene climate variability in the southwestern Mediterranean region: an integrated marine and terrestrial geochemical approach
Holocene trends in the foraminifer record from the Norwegian Sea and the North Atlantic Ocean
Terrestrial climate variability and seasonality changes in the Mediterranean region between 15 000 and 4000 years BP deduced from marine pollen records
Maria Reschke, Kira Rehfeld, and Thomas Laepple
Clim. Past, 15, 521-537, https://doi.org/10.5194/cp-15-521-2019, https://doi.org/10.5194/cp-15-521-2019, 2019
Short summary
Short summary
We empirically estimate signal-to-noise ratios of temperature proxy records used in global compilations of the middle to late Holocene by comparing the spatial correlation structure of proxy records and climate model simulations accounting for noise and time uncertainty. We find that low signal contents of the proxy records or, alternatively, more localised climate variations recorded by proxies than suggested by current model simulations suggest caution when interpreting multi-proxy datasets.
Irina Polovodova Asteman, Helena L. Filipsson, and Kjell Nordberg
Clim. Past, 14, 1097-1118, https://doi.org/10.5194/cp-14-1097-2018, https://doi.org/10.5194/cp-14-1097-2018, 2018
Short summary
Short summary
We present 2500 years of winter temperatures, using a sediment record from Gullmar Fjord analyzed for stable oxygen isotopes in benthic foraminifera. Reconstructed temperatures are within the annual temperature variability recorded in the fjord since the 1890s. Results show the warm Roman and Medieval periods and the cold Little Ice Age. The record also shows the recent warming, which does not stand out in the 2500-year perspective and is comparable to the Roman and Medieval climate anomalies.
Christof Pearce, Aron Varhelyi, Stefan Wastegård, Francesco Muschitiello, Natalia Barrientos, Matt O'Regan, Thomas M. Cronin, Laura Gemery, Igor Semiletov, Jan Backman, and Martin Jakobsson
Clim. Past, 13, 303-316, https://doi.org/10.5194/cp-13-303-2017, https://doi.org/10.5194/cp-13-303-2017, 2017
Short summary
Short summary
The eruption of the Alaskan Aniakchak volcano of 3.6 thousand years ago was one of the largest Holocene eruptions worldwide. The resulting ash is found in several Alaskan sites and as far as Newfoundland and Greenland. In this study, we found ash from the Aniakchak eruption in a marine sediment core from the western Chukchi Sea in the Arctic Ocean. Combined with radiocarbon dates on mollusks, the volcanic age marker is used to calculate the marine radiocarbon reservoir age at that time.
Anne-Sophie Fanget, Maria-Angela Bassetti, Christophe Fontanier, Alina Tudryn, and Serge Berné
Clim. Past, 12, 2161-2179, https://doi.org/10.5194/cp-12-2161-2016, https://doi.org/10.5194/cp-12-2161-2016, 2016
Maria-Angela Bassetti, Serge Berné, Marie-Alexandrine Sicre, Bernard Dennielou, Yoann Alonso, Roselyne Buscail, Bassem Jalali, Bertil Hebert, and Christophe Menniti
Clim. Past, 12, 1539-1553, https://doi.org/10.5194/cp-12-1539-2016, https://doi.org/10.5194/cp-12-1539-2016, 2016
Short summary
Short summary
This work represents the first attempt to decipher the linkages between rapid climate changes and continental Holocene paleohydrology in the NW Mediterranean shallow marine setting. Between 11 and 4 ka cal BP, terrigenous input increased and reached a maximum at 7 ka cal BP, probably as a result of a humid phase. From ca. 4 ka cal BP to the present, enhanced variability in the land-derived material is possibly due to large-scale atmospheric circulation and rainfall patterns in western Europe.
Mathias Trachsel and Richard J. Telford
Clim. Past, 12, 1215-1223, https://doi.org/10.5194/cp-12-1215-2016, https://doi.org/10.5194/cp-12-1215-2016, 2016
Short summary
Short summary
In spatially structured environments, conventional cross validation results in over-optimistic transfer function performance estimates. H-block cross validation, where all samples within h kilometres of the test samples are omitted is a method for obtaining unbiased transfer function performance estimates. We assess three methods for determining the optimal h using simulated data and published transfer functions. Some transfer functions perform notably worse when h-block cross validation is used.
B. Jalali, M.-A. Sicre, M.-A. Bassetti, and N. Kallel
Clim. Past, 12, 91-101, https://doi.org/10.5194/cp-12-91-2016, https://doi.org/10.5194/cp-12-91-2016, 2016
K. Tachikawa, L. Vidal, M. Cornuault, M. Garcia, A. Pothin, C. Sonzogni, E. Bard, G. Menot, and M. Revel
Clim. Past, 11, 855-867, https://doi.org/10.5194/cp-11-855-2015, https://doi.org/10.5194/cp-11-855-2015, 2015
M. Moreau, T. Corrège, E. P. Dassié, and F. Le Cornec
Clim. Past, 11, 523-532, https://doi.org/10.5194/cp-11-523-2015, https://doi.org/10.5194/cp-11-523-2015, 2015
Short summary
Short summary
The influence of salinity on the Porites Sr/Ca palaeothermometer is still poorly documented. We test the salinity effect on Porites Sr/Ca-based SST reconstructions using a large spatial compilation of published Porites data from the Pacific, Indian Ocean, and the Red Sea. We find no evidence of a salinity bias in the Sr/Ca SST proxy at monthly and interannual timescales using two different salinity products. This result is in agreement with laboratory experiments on coral species.
S. M. P. Berben, K. Husum, P. Cabedo-Sanz, and S. T. Belt
Clim. Past, 10, 181-198, https://doi.org/10.5194/cp-10-181-2014, https://doi.org/10.5194/cp-10-181-2014, 2014
D. J. R. Thornalley, M. Blaschek, F. J. Davies, S. Praetorius, D. W. Oppo, J. F. McManus, I. R. Hall, H. Kleiven, H. Renssen, and I. N. McCave
Clim. Past, 9, 2073-2084, https://doi.org/10.5194/cp-9-2073-2013, https://doi.org/10.5194/cp-9-2073-2013, 2013
M.-A. Sicre, G. Siani, D. Genty, N. Kallel, and L. Essallami
Clim. Past, 9, 1375-1383, https://doi.org/10.5194/cp-9-1375-2013, https://doi.org/10.5194/cp-9-1375-2013, 2013
S. Alessio, G. Vivaldo, C. Taricco, and M. Ghil
Clim. Past, 8, 831-839, https://doi.org/10.5194/cp-8-831-2012, https://doi.org/10.5194/cp-8-831-2012, 2012
B. Christiansen and F. C. Ljungqvist
Clim. Past, 8, 765-786, https://doi.org/10.5194/cp-8-765-2012, https://doi.org/10.5194/cp-8-765-2012, 2012
V. Nieto-Moreno, F. Martínez-Ruiz, S. Giralt, F. Jiménez-Espejo, D. Gallego-Torres, M. Rodrigo-Gámiz, J. García-Orellana, M. Ortega-Huertas, and G. J. de Lange
Clim. Past, 7, 1395-1414, https://doi.org/10.5194/cp-7-1395-2011, https://doi.org/10.5194/cp-7-1395-2011, 2011
C. Martín-Puertas, F. Jiménez-Espejo, F. Martínez-Ruiz, V. Nieto-Moreno, M. Rodrigo, M. P. Mata, and B. L. Valero-Garcés
Clim. Past, 6, 807-816, https://doi.org/10.5194/cp-6-807-2010, https://doi.org/10.5194/cp-6-807-2010, 2010
C. Andersson, F. S. R. Pausata, E. Jansen, B. Risebrobakken, and R. J. Telford
Clim. Past, 6, 179-193, https://doi.org/10.5194/cp-6-179-2010, https://doi.org/10.5194/cp-6-179-2010, 2010
I. Dormoy, O. Peyron, N. Combourieu Nebout, S. Goring, U. Kotthoff, M. Magny, and J. Pross
Clim. Past, 5, 615-632, https://doi.org/10.5194/cp-5-615-2009, https://doi.org/10.5194/cp-5-615-2009, 2009
Cited articles
Anand, P., Elderfield, H., and Conte, M. H.: Calibration of Mg/Ca
Thermometry in Planktonic Foraminifera from a Sediment Trap Time Series,
Paleoceanography, 18, 1050, https://doi.org/10.1029/2002PA000846, 2003. a, b, c
Barker, S., Greaves, M., and Elderfield, H.: A Study of Cleaning Procedures
Used for Foraminiferal Mg∕Ca Paleothermometry, Geochem.
Geophy. Geosy., 4, 8407, https://doi.org/10.1029/2003GC000559, 2003. a
Barker, S., Cacho, I., Benway, H., and Tachikawa, K.: Planktonic Foraminiferal
Mg∕Ca as a Proxy for Past Oceanic Temperatures: A Methodological
Overview and Data Compilation for the Last Glacial Maximum, Quaternary
Sci. Rev., 24, 821–834, https://doi.org/10.1016/j.quascirev.2004.07.016, 2005. a
Barker, S., Broecker, W., Clark, E., and Hajdas, I.: Radiocarbon Age Offsets of
Foraminifera Resulting from Differential Dissolution and Fragmentation within
the Sedimentary Bioturbated Zone, Paleoceanography, 22, PA2205,
https://doi.org/10.1029/2006PA001354, 2007. a
Benthien, A. and Müller, P. J.: Anomalously Low Alkenone Temperatures Caused
by Lateral Particle and Sediment Transport in the Malvinas Current
Region, Western Argentine Basin, Deep-Sea Res. Pt. I, 47, 2369–2393 2000. 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
Black, D. E., Abahazi, M. A., Thunell, R. C., Kaplan, A., Tappa, E. J., and
Peterson, L. C.: An 8-Century Tropical Atlantic SST Record from the
Cariaco Basin: Baseline Variability, Twentieth-Century Warming, and
Atlantic Hurricane Frequency, Paleoceanography, 22, PA4204,
https://doi.org/10.1029/2007PA001427, 2007. a
Boudreau, B. P.: Mean Mixed Depth of Sediments: The Wherefore and the Why,
Limnol. Oceanogr., 43, 524–526, 1998. a
Cisneros, M., Cacho, I., Frigola, J., Canals, M., Masqué, P., Martrat, B.,
Casado, M., Grimalt, J. O., Pena, L. D., Margaritelli, G., and Lirer, F.: Sea
Surface Temperature Variability in the Central-Western Mediterranean Sea
during the Last 2700 Years: A Multi-Proxy and Multi-Record Approach, Clim. Past, 12, 849–869, https://doi.org/10.5194/cp-12-849-2016, 2016. a
Conte, M. H., Thompson, A., Lesley, D., and Harris, R. P.: Genetic and
Physiological Influences on the Alkenone/Alkenoate versus Growth Temperature
Relationship in Emiliania Huxleyi and Gephyrocapsa Oceanica,
Geochim. Cosmochim. Ac., 62, 51–68, 1998. a
Conte, M. H., Sicre, M.-A., Rühlemann, C., Weber, J. C., Schulte, S.,
Schulz-Bull, D., and Blanz, T.: Global Temperature Calibration of the
Alkenone Unsaturation Index (UK′37) in Surface Waters and Comparison
with Surface Sediments, Geochem. Geophy. Geosy., 7, Q02005,
https://doi.org/10.1029/2005GC001054, 2006. 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
DeLong, K. L., Quinn, T. M., Taylor, F. W., Shen, C.-C., and Lin, K.: Improving
Coral-Base Paleoclimate Reconstructions by Replicating 350 Years of Coral
Sr/Ca Variations, Palaeogeogr. Palaeocl.,
373, 6–24, https://doi.org/10.1016/j.palaeo.2012.08.019, 2013. a
Dolman, A. M. and Laepple, T.: EarthSystemDiagnostics/sedproxy: Code for CoTP
sedproxy paper, https://doi.org/10.5281/zenodo.1494978, 2018.
Douglass, A. E.: Climatic Cycles and Tree-Growth, Carnegie
Institution of Washington, Washington, 1919. a
Dueñas-Bohórquez, A., da Rocha, R. E., Kuroyanagi, A., de Nooijer,
L. J., Bijma, J., and Reichart, G.-J.: Interindividual Variability and
Ontogenetic Effects on Mg and Sr Incorporation in the Planktonic
Foraminifer Globigerinoides Sacculifer, Geochim. Cosmochim. Ac.,
75, 520–532, https://doi.org/10.1016/j.gca.2010.10.006, 2011. 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
Elderfield, H. and Ganssen, G.: Past Temperature and
Δ18O of Surface Ocean Waters Inferred from
Foraminiferal Mg∕Ca Ratios, Nature, 405, 442–445,
https://doi.org/10.1038/35013033, 2000. 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, b
Fairbanks, R. G. and Wiebe, P. H.: Foraminifera and Chlorophyll Maximum:
Vertical Distribution, Seasonal Succession, and Paleoceanographic
Significance, Science, 209, 1524–1526,
https://doi.org/10.1126/science.209.4464.1524, 1980. a
Fraile, I., Schulz, M., Mulitza, S., and Kucera, M.: Predicting the global
distribution of planktonic foraminifera using a dynamic ecosystem model,
Biogeosciences, 5, 891–911, https://doi.org/10.5194/bg-5-891-2008, 2008. a, b, c
Fraile, I., Mulitza, S., and Schulz, M.: Modeling Planktonic Foraminiferal
Seasonality: Implications for Sea-Surface Temperature Reconstructions,
Mar. Micropaleontol., 72, 1–9, https://doi.org/10.1016/j.marmicro.2009.01.003,
2009. a
Ganssen, G. M., Peeters, F. J. C., Metcalfe, B., Anand, P., Jung, S. J. A.,
Kroon, D., and Brummer, G.-J. A.: Quantifying Sea Surface Temperature Ranges
of the Arabian Sea for the Past 20 000 Years, Clim. Past, 7,
1337–1349, https://doi.org/10.5194/cp-7-1337-2011, 2011. a
Goreau, T. J.: Frequency Sensitivity of the Deep-Sea Climatic Record, Nature,
287, 620, https://doi.org/10.1038/287620a0, 1980. a, b, c
Greaves, M., Caillon, N., Rebaubier, H., Bartoli, G., Bohaty, S., Cacho, I.,
Clarke, L., Cooper, M., Daunt, C., Delaney, M., deMenocal, P., Dutton, A.,
Eggins, S., Elderfield, H., Garbe-Schoenberg, D., Goddard, E., Green, D.,
Groeneveld, J., Hastings, D., Hathorne, E., Kimoto, K., Klinkhammer, G.,
Labeyrie, L., Lea, D. W., Marchitto, T., Martínez-Botí, M. A., Mortyn,
P. G., Ni, Y., Nuernberg, D., Paradis, G., Pena, L., Quinn, T., Rosenthal,
Y., Russell, A., Sagawa, T., Sosdian, S., Stott, L., Tachikawa, K., Tappa,
E., Thunell, R., and Wilson, P. A.: Interlaboratory Comparison Study of
Calibration Standards for Foraminiferal Mg∕Ca Thermometry,
Geochem. Geophy. Geosy., 9, 1–27, 2008. a, b
Groeneveld, J., Hathorne, E., Steinke, S., DeBey, H., Mackensen, A., and
Tiedemann, R.: Glacial Induced Closure of the Panamanian Gateway during
Marine Isotope Stages (MIS) 95–100 (∼2.5 Ma),
Earth Planet. Sc. Lett., 404, 296–306,2014. a
Guinasso, N. L. G. and Schink, D. R.: Quantitative Estimates of
Biological Mixing Rates in Abyssal Sediments, J. Geophys.
Res., 80, 3032–3043, https://doi.org/197510.1029/JC080i021p03032, 1975. a
Haarmann, T., Hathorne, E. C., Mohtadi, M., Groeneveld, J., Kölling, M., and
Bickert, T.: Mg/Ca Ratios of Single Planktonic Foraminifer Shells and the
Potential to Reconstruct the Thermal Seasonality of the Water Column,
Paleoceanography, 26, PA3218, https://doi.org/10.1029/2010PA002091, 2011. a, b
Ho, S. L. and Laepple, T.: Flat Meridional Temperature Gradient in the Early
Eocene in the Subsurface Rather than Surface Ocean, Nat. Geosci., 9,
606–610, https://doi.org/10.1038/ngeo2763, 2016. a
Hoefs, M. J. L., Versteegh, G. J. M., Rijpstra, W. I. C., de Leeuw, J. W., and
Damsté, J. S. S.: Postdepositional Oxic Degradation of Alkenones:
Implications for the Measurement of Palaeo Sea Surface Temperatures,
Paleoceanography, 13, 42–49, https://doi.org/199810.1029/97PA02893, 1998. a
Hönisch, B., Allen, K. A., Lea, D. W., Spero, H. J., Eggins, S. M.,
Arbuszewski, J., deMenocal, P., Rosenthal, Y., Russell, A. D., and
Elderfield, H.: The Influence of Salinity on Mg∕Ca in Planktic
Foraminifers – Evidence from Cultures, Core-Top Sediments and
Complementary δ18O, Geochim. Cosmochim. Ac., 121,
196–213, https://doi.org/10.1016/j.gca.2013.07.028, 2013. 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, b
Jonkers, L. and Kučera, M.: Quantifying the Effect of Seasonal and
Vertical Habitat Tracking on Planktonic Foraminifera Proxies, Clim.
Past, 13, 573–586, https://doi.org/10.5194/cp-13-573-2017, 2017. a, b
Killingley, J. S., Johnson, R. F., and Berger, W. H.: Oxygen and Carbon
Isotopes of Individual Shells of Planktonic Foraminifera from
Ontong-Java Plateau, Equatorial Pacific, Palaeogeogr.
Palaeocl., 33, 193–204,
https://doi.org/10.1016/0031-0182(81)90038-9, 1981. a, b
Kim, J.-H., Huguet, C., Zonneveld, K. A., Versteegh, G. J., Roeder, W.,
Sinninghe Damsté, J. S., and Schouten, S.: An Experimental Field Study to
Test the Stability of Lipids Used for the TEX86 and Palaeothermometers,
Geochim. Cosmochim. Ac., 73, 2888–2898,
https://doi.org/10.1016/j.gca.2009.02.030, 2009. a
Klein, F. and Goosse, H.: Reconstructing East African Rainfall and Indian
Ocean Sea Surface Temperatures over the Last Centuries Using Data
Assimilation, Clim. Dynam., 1–21, https://doi.org/10.1007/s00382-017-3853-0,
2017. a
Klein, F. and Goosse, H.: Reconstructing East African rainfall and Indian
mOcean sea surface temperatures over the last centuries using data
assimilation, Clim. Dynam., 50, 3909–3929, https://doi.org/10.1007/s00382-017-3853-0,
2018.
Koutavas, A. and Joanides, S.: El Niño-Southern Oscillation
Extrema in the Holocene and Last Glacial Maximum, Paleoceanography,
27, PA4208, https://doi.org/10.1029/2012PA002378, 2012. a
Kretschmer, K., Jonkers, L., Kucera, M., and Schulz, M.: Modeling seasonal
and vertical habitats of planktonic foraminifera on a global scale,
Biogeosciences, 15, 4405–4429, https://doi.org/10.5194/bg-15-4405-2018,
2018. a
Laepple, T. and Huybers, P.: Ocean Surface Temperature Variability: Large
Model-Data Differences at Decadal and Longer Periods, P.
Natl. Acad. Sci. USA, 111, 16682–16687,
https://doi.org/10.1073/pnas.1412077111, 2014. a
Liu, Z., Otto-Bliesner, B. L., He, F., Brady, E. C., Tomas, R., Clark, P. U.,
Carlson, A. E., Lynch-Stieglitz, J., Curry, W., Brook, E., Erickson, D.,
Jacob, R., Kutzbach, J., and Cheng, J.: Transient Simulation of Last
Deglaciation with a New Mechanism for Bølling-Allerød
Warming, Science, 325, 310–314, https://doi.org/10.1126/science.1171041, 2009. a
Liu, Z., Zhu, J., Rosenthal, Y., Zhang, X., Otto-Bliesner, B. L., Timmermann,
A., Smith, R. S., Lohmann, G., Zheng, W., and Timm, O. E.: The Holocene
Temperature Conundrum, P. Natl. Acad. Sci. USA, 111,
E3501–E3505, https://doi.org/10.1073/pnas.1407229111, 2014. a
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, b
Lombard, F., Labeyrie, L., Michel, E., Bopp, L., Cortijo, E., Retailleau, S.,
Howa, H., and Jorissen, F.: Modelling Planktic Foraminifer Growth and
Distribution Using an Ecophysiological Multi-Species Approach,
Biogeosciences, 8, 853–873, https://doi.org/10.5194/bg-8-853-2011, 2011. a
Lougheed, B. C., Metcalfe, B., Ninnemann, U. S., and Wacker, L.: Moving
beyond the age-depth model paradigm in deep-sea palaeoclimate archives: dual
radiocarbon and stable isotope analysis on single foraminifera, Clim. Past,
14, 515–526, https://doi.org/10.5194/cp-14-515-2018, 2018. a
Matisoff, G.: Mathematical Models of Bioturbation, in: Animal-Sediment
Relations: The Biogenic Alteration of Sediments, edited by: McCall, P. L. and
Tevesz, M. J. S., Springer, New York, 289–330, 1982. a
Mekik, F., François, R., and Soon, M.: A Novel Approach to Dissolution
Correction of Mg∕Ca Based Paleothermometry in the
Tropical Pacific, Paleoceanography, 22, 1–12,
https://doi.org/10.1029/2007PA001504, 2007. a, b
Mollenhauer, G., Eglinton, T. I., Ohkouchi, N., Schneider, R. R., Müller,
P. J., Grootes, P. M., and Rullkötter, J.: Asynchronous Alkenone and
Foraminifera Records from the Benguela Upwelling System, Geochim.
Cosmochim. Ac., 67, 2157–2171, https://doi.org/10.1016/S0016-7037(03)00168-6, 2003. a
Müller, P. J., Kirst, G., Ruhland, G., von Storch, I., and Rosell-Melé,
A.: Calibration of the Alkenone Paleotemperature Index U37K′ Based on
Core-Tops from the Eastern South Atlantic and the Global Ocean (60∘ N–60∘ S), Geochim. Cosmochim. Ac., 62, 1757–1772,
https://doi.org/10.1016/S0016-7037(98)00097-0, 1998. a
Münch, T., Kipfstuhl, S., Freitag, J., Meyer, H., and Laepple, T.: Regional
Climate Signal vs. Local Noise: A Two-Dimensional View of Water Isotopes in
Antarctic Firn at Kohnen Station, Dronning Maud Land, Clim. Past,
12, 1565–1581, https://doi.org/10.5194/cp-12-1565-2016, 2016. a
Münch, T., Kipfstuhl, S., Freitag, J., Meyer, H., and Laepple, T.:
Constraints on Post-Depositional Isotope Modifications in East Antarctic
Firn from Analysing Temporal Changes of Isotope Profiles, The Cryosphere, 11,
2175–2188, https://doi.org/10.5194/tc-11-2175-2017, 2017. a
Nürnberg, D., Bijma, J., and Hemleben, C.: Assessing the Reliability of
Magnesium in Foraminiferal Calcite as a Proxy for Water Mass Temperatures,
Geochim. Cosmochim. Ac., 60, 803–814,
https://doi.org/10.1016/0016-7037(95)00446-7, 1996. a, b
Prahl, F. G. and Wakeham, S. G.: Calibration of Unsaturation Patterns in
Long-Chain Ketone Compositions for Palaeotemperature Assessment, Nature, 330,
367, https://doi.org/10.1038/330367a0, 1987. a
R Core Team: R: A Language and Environment for Statistical
Computing, Vienna, Austria, 2017. a
Roche, D. M., Waelbroeck, C., Metcalfe, B., and Caley, T.: FAME (v1.0): a
simple module to simulate the effect of planktonic foraminifer
species-specific habitat on their oxygen isotopic content, Geosci. Model
Dev., 11, 3587–3603, https://doi.org/10.5194/gmd-11-3587-2018, 2018. a, b, c
Rosell-Melé, A., Bard, E., Emeis, K.-C., Grimalt, J. O., Müller, P.,
Schneider, R., Bouloubassi, I., Epstein, B., Fahl, K., Fluegge, A., Freeman,
K., Goñi, M., Güntner, U., Hartz, D., Hellebust, S., Herbert, T.,
Ikehara, M., Ishiwatari, R., Kawamura, K., Kenig, F., de Leeuw, J., Lehman,
S., Mejanelle, L., Ohkouchi, N., Pancost, R. D., Pelejero, C., Prahl, F.,
Quinn, J., Rontani, J.-F., Rostek, F., Rullkotter, J., Sachs, J., Blanz, T.,
Sawada, K., Schulz-Bull, D., Sikes, E., Sonzogni, C., Ternois, Y.,
Versteegh, G., Volkman, J., and Wakeham, S.: Precision of the Current Methods
to Measure the Alkenone Proxy UK′37 and Absolute Alkenone Abundance in
Sediments: Results of an Interlaboratory Comparison Study, Geochem.
Geophy. Geosy., 2, 2000GC0, https://doi.org/10.1029/2000GC000141, 2001. a
Rosenthal, Y. and Lohmann, G. P.: Accurate Estimation of Sea Surface
Temperatures Using Dissolution-Corrected Calibrations for
Mg∕Ca
Paleothermometry, Paleoceanography, 17, 1044, https://doi.org/10.1029/2001PA000749,
2002. a, b
Rosenthal, Y., Oppo, D. W., and Linsley, B. K.: The Amplitude and Phasing of
Climate Change during the Last Deglaciation in the Sulu Sea, Western
Equatorial Pacific, Geophys. Res. Lett., 30, 1428,
https://doi.org/10.1029/2002GL016612, 2003. a, b, c, d
Sadekov, A., Eggins, S. M., De Deckker, P., and Kroon, D.: Uncertainties in
Seawater Thermometry Deriving from Intratest and Intertest
Mg∕Ca
Variability in Globigerinoides Ruber: Uncertainties
Mg∕Ca Seawater Thermometry, Paleoceanography, 23, 1–12,
https://doi.org/10.1029/2007PA001452, 2008. a, b, c
Sadler, P. M.: The Influence of Hiatuses on Sediment Accumulation Rates,
GeoResearch Forum, 5, 15–40, 1999. a
Schiffelbein, P. and Hills, S.: Direct Assessment of Stable Isotope Variability
in Planktonic Foraminifera Populations, Palaeogeogr. Palaeocl., 48, 197–213, https://doi.org/10.1016/0031-0182(84)90044-0, 1984. a, b, c, d
Schneider, B., Leduc, G., and Park, W.: Disentangling Seasonal Signals in
Holocene Climate Trends by Satellite-Model-Proxy Integration,
Paleoceanography, 25, PA4217, https://doi.org/10.1029/2009PA001893, 2010. a, b
Scussolini, P. and Peeters, F. J. C.: A Record of the Last 460 Thousand Years
of Upper Ocean Stratification from the Central Walvis Ridge, South
Atlantic, Paleoceanography, 28, 426–439, https://doi.org/10.1002/palo.20041, 2013. a
Scussolini, P., van Sebille, E., and Durgadoo, J. V.: Paleo Agulhas Rings
Enter the Subtropical Gyre during the Penultimate Deglaciation, Clim. Past, 9, 2631–2639, https://doi.org/10.5194/cp-9-2631-2013, 2013. a, b, c, d
Scussolini, P., Marino, G., Brummer, G.-J. A., and Peeters, F. J. C.: Saline
Indian Ocean Waters Invaded the South Atlantic Thermocline during
Glacial Termination II, Geology, 43, 139–142, https://doi.org/10.1130/G36238.1,
2015. 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
Skinner, L. C. and Elderfield, H.: Constraining Ecological and Biological Bias
in Planktonic Foraminiferal Mg∕Ca and δ18Occ: A
Multispecies Approach to Proxy Calibration Testing, Paleoceanography, 20,
PA1015, https://doi.org/10.1029/2004PA001058, 2005. a
Smerdon, J. E., Kaplan, A., Zorita, E., González-Rouco, J. F., and Evans,
M. N.: Spatial Performance of Four Climate Field Reconstruction Methods
Targeting the Common Era, Geophys. Res. Lett., 38, L11705,
https://doi.org/10.1029/2011GL047372, 2011. a
Smith, J., Quinn, T., Helmle, K., and Halley, R.: Reproducibility of
Geochemical and Climatic Signals in the Atlantic Coral Montastraea
Faveolata, Paleoceanography, 21, 1–18, 2006. a
Sommerfield, C. K.: On Sediment Accumulation Rates and Stratigraphic
Completeness: Lessons from Holocene Ocean Margins, Cont. Shelf
Res., 26, 2225–2240, https://doi.org/10.1016/j.csr.2006.07.015, 2006. a
Spero, H. J.: Life History and Stable Isotope Geochemistry of
Planktonic Foraminifera, Paleontological Society Papers, 4, 7–36,
https://doi.org/10.1017/S1089332600000383, 1998. a
Steiner, Z., Lazar, B., Levi, S., Tsroya, S., Pelled, O., Bookman, R., and
Erez, J.: The Effect of Bioturbation in Pelagic Sediments: Lessons from
Radioactive Tracers and Planktonic Foraminifera in the Gulf of Aqaba,
Red Sea, Geochim. Cosmochim. Ac., 194, 139–152,
https://doi.org/10.1016/j.gca.2016.08.037, 2016. a
Teal, L., Bulling, M., Parker, E., and Solan, M.: Global Patterns of
Bioturbation Intensity and Mixed Depth of Marine Soft Sediments, Aquat.
Biol., 2, 207–218, https://doi.org/10.3354/ab00052, 2010. a
Thirumalai, K., Partin, J. W., Jackson, C. S., and Quinn, T. M.: Statistical
Constraints on El Niño Southern Oscillation Reconstructions Using
Individual Foraminifera: A Sensitivity Analysis, Paleoceanography, 28,
401–412, https://doi.org/10.1002/palo.20037, 2013. a, b
Tingley, M. P. and Huybers, P.: A Bayesian Algorithm for Reconstructing
Climate Anomalies in Space and Time. Part I: Development
and Applications to Paleoclimate Reconstruction Problems, J.
Clim., 23, 2759–2781, https://doi.org/10.1175/2009JCLI3015.1, 2009. a
Trauth, M. H., Sarnthein, M., and Arnold, M.: Bioturbational Mixing Depth and
Carbon Flux at the Seafloor, Paleoceanography, 12, 517–526,
https://doi.org/10.1029/97PA00722, 1997. a, b
Uitz, J., Claustre, H., Gentili, B., and Stramski, D.: Phytoplankton
Class-Specific Primary Production in the World's Oceans: Seasonal and
Interannual Variability from Satellite Observations, Global Biogeochem.
Cy., 24, 1–19, https://doi.org/10.1029/2009GB003680, 2010. a
van Sebille, E., Scussolini, P., Durgadoo, J. V., Peeters, F. J. C.,
Biastoch, A., Weijer, W., Turney, C., Paris, C. B., and Zahn, R.: Ocean
Currents Generate Large Footprints in Marine Palaeoclimate Proxies, Nat.
Commun., 6, 6521, https://doi.org/10.1038/ncomms7521, 2015. a
Wacker, L., Bonani, G., Friedrich, M., Hajdas, I., Kromer, B., Nemec, N., Ruff,
M., Suter, M., Synal, H.-A., and Vockenhuber, C.: MICADAS: Routine
and High-Precision Radiocarbon Dating, Radiocarbon, 52, 252–262,
2010. a
Weldeab, S., Schneider, R. R., and Müller, P.: Comparison of Mg/Ca-
and Alkenone-Based Sea Surface Temperature Estimates in the Fresh
Water-Influenced Gulf of Guinea, Eastern Equatorial
Atlantic, Geochem. Geophy. Geosy., 8, Q05P22,
https://doi.org/10.1029/2006GC001360, 2007. a
Wickham, H.: Ggplot2: Elegant Graphics for Data Analysis,
Springer-Verlag New York, 2009. a
Wit, J. C., Reichart, G.-J., A Jung, S. J., and Kroon, D.: Approaches to
Unravel Seasonality in Sea Surface Temperatures Using Paired Single-Specimen
Foraminiferal δ18O and Mg∕Ca Analyses, Paleoceanography,
25, PA4220, https://doi.org/10.1029/2009PA001857, 2010.
a
Wörmer, L., Elvert, M., Fuchser, J., Lipp, J. S., Buttigieg, P. L., Zabel,
M., and Hinrichs, K.-U.: Ultra-High-Resolution Paleoenvironmental Records via
Direct Laser-Based Analysis of Lipid Biomarkers in Sediment Core Samples,
P. Natl. Acad. Sci. USA, 111, 15669–15674,
https://doi.org/10.1073/pnas.1405237111, 2014. a
Zachos, J., Pagani, M., Sloan, L., Thomas, E., and Billups, K.: Trends,
Rhythms, and Aberrations in Global Climate 65 Ma to
Present, Science, 292, 686–693, https://doi.org/10.1126/science.1059412, 2001. a
Zonneveld, K. A., Bockelmann, F., and Holzwarth, U.: Selective Preservation of
Organic-Walled Dinoflagellate Cysts as a Tool to Quantify Past Net Primary
Production and Bottom Water Oxygen Concentrations, Mar. Geol., 237,
109–126, https://doi.org/10.1016/j.margeo.2006.10.023, 2007. a
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Short summary
Climate proxies from marine sediments provide an important record of past temperatures, but contain noise from many sources. These include mixing by burrowing organisms, seasonal and habitat biases, measurement error, and small sample size effects. We have created a forward model that simulates the creation of proxy records and provides it as a user-friendly R package. It allows multiple sources of uncertainty to be considered together when interpreting proxy climate records.
Climate proxies from marine sediments provide an important record of past temperatures, but...
Climate of the Past
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