Interglacial climate dynamics and advanced time series analysis
Studying the climate dynamics of past interglacials (IGs) helps to better assess the anthropogenically influenced dynamics of the current IG, the Holocene. We select the IG portions from the EPICA Dome C ice core archive, which covers the past 800 ka, to apply methods of statistical time series anal...
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ftawi:oai:epic.awi.de:32607 2023-05-15T16:06:18+02:00 Interglacial climate dynamics and advanced time series analysis Mudelsee, Manfred Bermejo, M. Köhler, Peter Lohmann, Gerrit 2013-04-08 application/pdf https://epic.awi.de/id/eprint/32607/ https://epic.awi.de/id/eprint/32607/1/EGU2013-3313-1.pdf https://hdl.handle.net/10013/epic.41184 https://hdl.handle.net/10013/epic.41184.d001 unknown https://epic.awi.de/id/eprint/32607/1/EGU2013-3313-1.pdf https://hdl.handle.net/10013/epic.41184.d001 Mudelsee, M. orcid:0000-0002-2364-9561 , Bermejo, M. , Köhler, P. orcid:0000-0003-0904-8484 and Lohmann, G. orcid:0000-0003-2089-733X (2013) Interglacial climate dynamics and advanced time series analysis , EGU General Assembly, Vienna, Austria, 7 April 2013 - 12 April 2013 . hdl:10013/epic.41184 EPIC3EGU General Assembly, Vienna, Austria, 2013-04-07-2013-04-12 Conference notRev 2013 ftawi 2021-12-24T15:38:28Z Studying the climate dynamics of past interglacials (IGs) helps to better assess the anthropogenically influenced dynamics of the current IG, the Holocene. We select the IG portions from the EPICA Dome C ice core archive, which covers the past 800 ka, to apply methods of statistical time series analysis (Mudelsee 2010). The analysed variables are deuterium/H (indicating temperature) (Jouzel et al. 2007), greenhouse gases (Siegenthaler et al. 2005, Loulergue et al. 2008, Lü ̈thi et al. 2008) and a model-co-derived climate radiative forcing (Köhler et al. 2010). We select additionally high-resolution sea-surface-temperature records from the marine sedimentary archive. The first statistical method, persistence time estimation (Mudelsee 2002) lets us infer the ’climate memory’ property of IGs. Second, linear regression informs about long-term climate trends during IGs. Third, ramp function regression (Mudelsee 2000) is adapted to look on abrupt climate changes during IGs. We compare the Holocene with previous IGs in terms of these mathematical approaches, interprete results in a climate context, assess uncertainties and the requirements to data from old IGs for yielding results of ’acceptable’ accuracy. This work receives financial support from the Deutsche Forschungsgemeinschaft (Project ClimSens within the DFG Research Priority Program INTERDYNAMIK) and the European Commission (Marie Curie Initial Training Network LINC, No. 289447, within the 7th Framework Programme). Conference Object EPICA ice core Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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Studying the climate dynamics of past interglacials (IGs) helps to better assess the anthropogenically influenced dynamics of the current IG, the Holocene. We select the IG portions from the EPICA Dome C ice core archive, which covers the past 800 ka, to apply methods of statistical time series analysis (Mudelsee 2010). The analysed variables are deuterium/H (indicating temperature) (Jouzel et al. 2007), greenhouse gases (Siegenthaler et al. 2005, Loulergue et al. 2008, Lü ̈thi et al. 2008) and a model-co-derived climate radiative forcing (Köhler et al. 2010). We select additionally high-resolution sea-surface-temperature records from the marine sedimentary archive. The first statistical method, persistence time estimation (Mudelsee 2002) lets us infer the ’climate memory’ property of IGs. Second, linear regression informs about long-term climate trends during IGs. Third, ramp function regression (Mudelsee 2000) is adapted to look on abrupt climate changes during IGs. We compare the Holocene with previous IGs in terms of these mathematical approaches, interprete results in a climate context, assess uncertainties and the requirements to data from old IGs for yielding results of ’acceptable’ accuracy. This work receives financial support from the Deutsche Forschungsgemeinschaft (Project ClimSens within the DFG Research Priority Program INTERDYNAMIK) and the European Commission (Marie Curie Initial Training Network LINC, No. 289447, within the 7th Framework Programme). |
format |
Conference Object |
author |
Mudelsee, Manfred Bermejo, M. Köhler, Peter Lohmann, Gerrit |
spellingShingle |
Mudelsee, Manfred Bermejo, M. Köhler, Peter Lohmann, Gerrit Interglacial climate dynamics and advanced time series analysis |
author_facet |
Mudelsee, Manfred Bermejo, M. Köhler, Peter Lohmann, Gerrit |
author_sort |
Mudelsee, Manfred |
title |
Interglacial climate dynamics and advanced time series analysis |
title_short |
Interglacial climate dynamics and advanced time series analysis |
title_full |
Interglacial climate dynamics and advanced time series analysis |
title_fullStr |
Interglacial climate dynamics and advanced time series analysis |
title_full_unstemmed |
Interglacial climate dynamics and advanced time series analysis |
title_sort |
interglacial climate dynamics and advanced time series analysis |
publishDate |
2013 |
url |
https://epic.awi.de/id/eprint/32607/ https://epic.awi.de/id/eprint/32607/1/EGU2013-3313-1.pdf https://hdl.handle.net/10013/epic.41184 https://hdl.handle.net/10013/epic.41184.d001 |
genre |
EPICA ice core |
genre_facet |
EPICA ice core |
op_source |
EPIC3EGU General Assembly, Vienna, Austria, 2013-04-07-2013-04-12 |
op_relation |
https://epic.awi.de/id/eprint/32607/1/EGU2013-3313-1.pdf https://hdl.handle.net/10013/epic.41184.d001 Mudelsee, M. orcid:0000-0002-2364-9561 , Bermejo, M. , Köhler, P. orcid:0000-0003-0904-8484 and Lohmann, G. orcid:0000-0003-2089-733X (2013) Interglacial climate dynamics and advanced time series analysis , EGU General Assembly, Vienna, Austria, 7 April 2013 - 12 April 2013 . hdl:10013/epic.41184 |
_version_ |
1766402194830000128 |