Articles | Volume 9, issue 3
https://doi.org/10.5194/cp-9-1375-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/cp-9-1375-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Jun 2013
Research article |
| 28 Jun 2013
Seemingly divergent sea surface temperature proxy records in the central Mediterranean during the last deglaciation
M.-A. Sicre
Laboratoire des Sciences du Climat et de l'Environnement, Domaine du CNRS – UMR8212, Avenue de la Terrasse, Gif-sur-Yvette Cedex, France
G. Siani
Université Paris-Sud XI, Faculté des Sciences d'Orsay, 91405 Orsay, France
D. Genty
Laboratoire des Sciences du Climat et de l'Environnement, Domaine du CNRS – UMR8212, Avenue de la Terrasse, Gif-sur-Yvette Cedex, France
N. Kallel
Faculté de Sfax, Faculté des Sciences de Sfax, Unité GEOGLOB, BP. 802, 3038, Sfax, Tunisia
L. Essallami
Université de Gabès, Faculté des Sciences de Gabès, Gabès, Tunisia
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Tridacna, as the largest marine bivalves, can be used for high-resolution paleoclimate reconstruction in its carbonate skeleton. In this contribution, the modern δ18O shell is suggested to be a proxy for sea surface temperature in the Xisha Islands, South China Sea. Data from a fossil Tridacna (3673 ± 28 BP) indicate a warmer climate and intense ENSO-related variability but reduced ENSO frequency and more extreme El Niño winters compared to modern Tridacna.
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
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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
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
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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
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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