Articles | Volume 11, issue 6
https://doi.org/10.5194/cp-11-855-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/cp-11-855-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Jun 2015
Research article |
| 11 Jun 2015
Eastern Mediterranean Sea circulation inferred from the conditions of S1 sapropel deposition
K. Tachikawa
CORRESPONDING AUTHOR
Aix-Marseille Université, CNRS, IRD, Collège de France, CEREGE UM34, 13545 Aix en Provence, France
L. Vidal
Aix-Marseille Université, CNRS, IRD, Collège de France, CEREGE UM34, 13545 Aix en Provence, France
M. Cornuault
Aix-Marseille Université, CNRS, IRD, Collège de France, CEREGE UM34, 13545 Aix en Provence, France
M. Garcia
Aix-Marseille Université, CNRS, IRD, Collège de France, CEREGE UM34, 13545 Aix en Provence, France
A. Pothin
Geoazur, UMR 7329, 06560 Valbonne-Sophia Antipolis, France
C. Sonzogni
Aix-Marseille Université, CNRS, IRD, Collège de France, CEREGE UM34, 13545 Aix en Provence, France
E. Bard
Aix-Marseille Université, CNRS, IRD, Collège de France, CEREGE UM34, 13545 Aix en Provence, France
G. Menot
Aix-Marseille Université, CNRS, IRD, Collège de France, CEREGE UM34, 13545 Aix en Provence, France
M. Revel
Geoazur, UMR 7329, 06560 Valbonne-Sophia Antipolis, France
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Clim. Past, 9, 2043–2071, https://doi.org/10.5194/cp-9-2043-2013, https://doi.org/10.5194/cp-9-2043-2013, 2013
M. C. Matteuzzo, A. Alexandre, A. F. D. C. Varajão, C. Volkmer-Ribeiro, A. C. S. Almeida, C. A. C. Varajão, C. Vallet-Coulomb, C. Sonzogni, and H. Miche
Biogeosciences Discuss., https://doi.org/10.5194/bgd-10-12887-2013, https://doi.org/10.5194/bgd-10-12887-2013, 2013
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K. Tachikawa, A. Timmermann, L. Vidal, C. Sonzogni, and O. E. Timm
Clim. Past Discuss., https://doi.org/10.5194/cpd-9-1869-2013, https://doi.org/10.5194/cpd-9-1869-2013, 2013
Revised manuscript has not been submitted
Related subject area
Subject: Proxy Use-Development-Validation | Archive: Marine Archives | Timescale: Holocene
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Andrew M. Dolman, Torben Kunz, Jeroen Groeneveld, and Thomas Laepple
Clim. Past, 17, 825–841, https://doi.org/10.5194/cp-17-825-2021, https://doi.org/10.5194/cp-17-825-2021, 2021
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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.
Linda K. Dämmer, Lennart de Nooijer, Erik van Sebille, Jan G. Haak, and Gert-Jan Reichart
Clim. Past, 16, 2401–2414, https://doi.org/10.5194/cp-16-2401-2020, https://doi.org/10.5194/cp-16-2401-2020, 2020
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The compositions of foraminifera shells often vary with environmental parameters such as temperature or salinity; thus, they can be used as proxies for these environmental variables. Often a single proxy is influenced by more than one parameter. Here, we show that while salinity impacts shell Na / Ca, temperature has no effect. We also show that the combination of different proxies (Mg / Ca and δ18O) to reconstruct salinity does not seem to work as previously thought.
Torben Kunz, Andrew M. Dolman, and Thomas Laepple
Clim. Past, 16, 1469–1492, https://doi.org/10.5194/cp-16-1469-2020, https://doi.org/10.5194/cp-16-1469-2020, 2020
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This paper introduces a method to estimate the uncertainty of climate reconstructions from single sediment proxy records. The method can compute uncertainties as a function of averaging timescale, thereby accounting for the fact that some components of the uncertainty are autocorrelated in time. This is achieved by treating the problem in the spectral domain. Fully analytic expressions are derived. A companion paper (Part 2) complements this with application-oriented examples of the method.
Giulia Faucher, Ulf Riebesell, and Lennart Thomas Bach
Clim. Past, 16, 1007–1025, https://doi.org/10.5194/cp-16-1007-2020, https://doi.org/10.5194/cp-16-1007-2020, 2020
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We designed five experiments choosing different coccolithophore species that have been evolutionarily distinct for millions of years. If all species showed the same morphological response to an environmental driver, this could be indicative of a response pattern that is conserved over geological timescales. We found an increase in the percentage of malformed coccoliths under altered CO2, providing evidence that this response could be used as paleo-proxy for episodes of acute CO2 perturbations.
Yue Hu, Xiaoming Sun, Hai Cheng, and Hong Yan
Clim. Past, 16, 597–610, https://doi.org/10.5194/cp-16-597-2020, https://doi.org/10.5194/cp-16-597-2020, 2020
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Maria Reschke, Kira Rehfeld, and Thomas Laepple
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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.
Andrew M. Dolman and Thomas Laepple
Clim. Past, 14, 1851–1868, https://doi.org/10.5194/cp-14-1851-2018, https://doi.org/10.5194/cp-14-1851-2018, 2018
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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.
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
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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
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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
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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
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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
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
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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
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