New tools for the reconstruction of Pleistocene Antarctic sea ice
Based on the quantitative analysis of diatom assemblages preserved in 274 surface sediment samples recovered in the Pacific, Atlantic and western Indian sectors of the Southern Ocean we have defined a new reference database for quantitative estimation of late-middle Pleistocene Antarctic sea ice fie...
Published in: | Palaeogeography, Palaeoclimatology, Palaeoecology |
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ftawi:oai:epic.awi.de:34575 2024-09-15T17:42:42+00:00 New tools for the reconstruction of Pleistocene Antarctic sea ice Esper, Oliver Gersonde, Rainer 2014-04-01 https://epic.awi.de/id/eprint/34575/ https://hdl.handle.net/10013/epic.43242 unknown Elsevier Esper, O. orcid:0000-0002-4342-3471 and Gersonde, R. (2014) New tools for the reconstruction of Pleistocene Antarctic sea ice , Palaeogeography, Palaeoclimatology, Palaeoecology, 399 , pp. 260-283 . doi:10.1016/j.palaeo.2014.01.019 <https://doi.org/10.1016/j.palaeo.2014.01.019> , hdl:10013/epic.43242 EPIC3Palaeogeography, Palaeoclimatology, Palaeoecology, Elsevier, 399, pp. 260-283, ISSN: 0031-0182 Article isiRev 2014 ftawi https://doi.org/10.1016/j.palaeo.2014.01.019 2024-06-24T04:08:32Z Based on the quantitative analysis of diatom assemblages preserved in 274 surface sediment samples recovered in the Pacific, Atlantic and western Indian sectors of the Southern Ocean we have defined a new reference database for quantitative estimation of late-middle Pleistocene Antarctic sea ice fields using the transfer function technique. The Detrended Canonical Analysis (DCA) of the diatom data set points to a unimodal distribution of the diatom assemblages. Canonical Correspondence Analysis (CCA) indicates that not only winter sea ice (WSI) but also summer sea surface temperature (SSST) represent the most prominent environmental variables that control the spatial species distribution. To test the applicability of transfer functions for sea ice reconstruction in terms of concentration and occurrence probability we applied four different methods, the Imbrie and Kipp Method (IKM), the Modern Analog Technique (MAT), Weighted Averaging (WA), and Weighted Averaging Partial Least Squares (WAPLS), using logarithm-transformed diatom data and satellite-derived (1981-2010) sea ice data as a reference. The best performance for IKM results was obtained using a subset of 172 samples with 28 diatom taxa/taxa groups, quadratic regression and a three-factor model (IKM-D172/28/3q) resulting in root mean square errors of prediction (RMSEP) of 7.27% and 11.4% for WSI and summer sea ice (SSI) concentration, respectively. MAT estimates were calculated with different numbers of analogs (4, 6) using a 274-sample/28-taxa reference data set (MAT-D274/28/4an, -6an) resulting in RMSEP´s ranging from 5.52% (4an) to 5.91% (6an) for WSI as well as 8.93% (4an) to 9.05% (6an) for SSI. WA and WAPLS performed less well with the D274 data set, compared to MAT, achieving WSI concentration RMSEP´s of 9.91% with WA and 11.29% with WAPLS, recommending the use of IKM and MAT. The application of IKM and MAT to surface sediment data revealed strong relations to the satellite-derived winter and summer sea ice field. Sea ice reconstructions performed ... Article in Journal/Newspaper Antarc* Antarctic Sea ice Southern Ocean Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Palaeogeography, Palaeoclimatology, Palaeoecology 399 260 283 |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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ftawi |
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unknown |
description |
Based on the quantitative analysis of diatom assemblages preserved in 274 surface sediment samples recovered in the Pacific, Atlantic and western Indian sectors of the Southern Ocean we have defined a new reference database for quantitative estimation of late-middle Pleistocene Antarctic sea ice fields using the transfer function technique. The Detrended Canonical Analysis (DCA) of the diatom data set points to a unimodal distribution of the diatom assemblages. Canonical Correspondence Analysis (CCA) indicates that not only winter sea ice (WSI) but also summer sea surface temperature (SSST) represent the most prominent environmental variables that control the spatial species distribution. To test the applicability of transfer functions for sea ice reconstruction in terms of concentration and occurrence probability we applied four different methods, the Imbrie and Kipp Method (IKM), the Modern Analog Technique (MAT), Weighted Averaging (WA), and Weighted Averaging Partial Least Squares (WAPLS), using logarithm-transformed diatom data and satellite-derived (1981-2010) sea ice data as a reference. The best performance for IKM results was obtained using a subset of 172 samples with 28 diatom taxa/taxa groups, quadratic regression and a three-factor model (IKM-D172/28/3q) resulting in root mean square errors of prediction (RMSEP) of 7.27% and 11.4% for WSI and summer sea ice (SSI) concentration, respectively. MAT estimates were calculated with different numbers of analogs (4, 6) using a 274-sample/28-taxa reference data set (MAT-D274/28/4an, -6an) resulting in RMSEP´s ranging from 5.52% (4an) to 5.91% (6an) for WSI as well as 8.93% (4an) to 9.05% (6an) for SSI. WA and WAPLS performed less well with the D274 data set, compared to MAT, achieving WSI concentration RMSEP´s of 9.91% with WA and 11.29% with WAPLS, recommending the use of IKM and MAT. The application of IKM and MAT to surface sediment data revealed strong relations to the satellite-derived winter and summer sea ice field. Sea ice reconstructions performed ... |
format |
Article in Journal/Newspaper |
author |
Esper, Oliver Gersonde, Rainer |
spellingShingle |
Esper, Oliver Gersonde, Rainer New tools for the reconstruction of Pleistocene Antarctic sea ice |
author_facet |
Esper, Oliver Gersonde, Rainer |
author_sort |
Esper, Oliver |
title |
New tools for the reconstruction of Pleistocene Antarctic sea ice |
title_short |
New tools for the reconstruction of Pleistocene Antarctic sea ice |
title_full |
New tools for the reconstruction of Pleistocene Antarctic sea ice |
title_fullStr |
New tools for the reconstruction of Pleistocene Antarctic sea ice |
title_full_unstemmed |
New tools for the reconstruction of Pleistocene Antarctic sea ice |
title_sort |
new tools for the reconstruction of pleistocene antarctic sea ice |
publisher |
Elsevier |
publishDate |
2014 |
url |
https://epic.awi.de/id/eprint/34575/ https://hdl.handle.net/10013/epic.43242 |
genre |
Antarc* Antarctic Sea ice Southern Ocean |
genre_facet |
Antarc* Antarctic Sea ice Southern Ocean |
op_source |
EPIC3Palaeogeography, Palaeoclimatology, Palaeoecology, Elsevier, 399, pp. 260-283, ISSN: 0031-0182 |
op_relation |
Esper, O. orcid:0000-0002-4342-3471 and Gersonde, R. (2014) New tools for the reconstruction of Pleistocene Antarctic sea ice , Palaeogeography, Palaeoclimatology, Palaeoecology, 399 , pp. 260-283 . doi:10.1016/j.palaeo.2014.01.019 <https://doi.org/10.1016/j.palaeo.2014.01.019> , hdl:10013/epic.43242 |
op_doi |
https://doi.org/10.1016/j.palaeo.2014.01.019 |
container_title |
Palaeogeography, Palaeoclimatology, Palaeoecology |
container_volume |
399 |
container_start_page |
260 |
op_container_end_page |
283 |
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1810489397508833280 |