Temperature trends during the present and last interglacial periods - a multi-model-data comparison
Though primarily driven by insolation changes associated with well-known variations in Earth's astronomical parameters, the response of the climate system during interglacials includes a diversity of feedbacks involving the atmosphere, ocean, sea ice, vegetation and land ice. A thorough multi-m...
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ftpubman:oai:pure.mpg.de:item_2057344 2023-08-20T04:01:26+02:00 Temperature trends during the present and last interglacial periods - a multi-model-data comparison Bakker, P. Masson-Delmotte, V. Martrat, B. Charbit, S. Renssen, H. Groeger, M. Krebs-Kanzow, U. Lohmann, G. Lunt, D. Pfeiffer, M. Phipps, S. Prange, M. Ritz, S. Schulz, M. Stenni, B. Stone, E. Varma, V. 2014-09-01 http://hdl.handle.net/11858/00-001M-0000-0023-D29F-7 eng eng info:eu-repo/semantics/altIdentifier/doi/10.1016/j.quascirev.2014.06.031 http://hdl.handle.net/11858/00-001M-0000-0023-D29F-7 Quaternary Science Reviews info:eu-repo/semantics/article 2014 ftpubman https://doi.org/10.1016/j.quascirev.2014.06.031 2023-08-01T22:02:41Z Though primarily driven by insolation changes associated with well-known variations in Earth's astronomical parameters, the response of the climate system during interglacials includes a diversity of feedbacks involving the atmosphere, ocean, sea ice, vegetation and land ice. A thorough multi-model-data comparison is essential to assess the ability of climate models to resolve interglacial temperature trends and to help in understanding the recorded climatic signal and the underlying climate dynamics. We present the first multi-model-data comparison of transient millennial-scale temperature changes through two intervals of the Present Interglacial (PIG; 8-1.2 ka) and the Last Interglacial (LIG; 123-116.2 ka) periods. We include temperature trends simulated by 9 different climate models, alkenone-based temperature reconstructions from 117 globally distributed locations (about 45% of them within the LIG) and 12 ice-core-based temperature trends from Greenland and Antarctica (50% of them within the LIG). The definitions of these specific interglacial intervals enable a consistent inter-comparison of the two intervals because both are characterised by minor changes in atmospheric greenhouse gas concentrations and more importantly by insolation trends that show clear similarities. Our analysis shows that in general the reconstructed PIG and LIG Northern Hemisphere mid-to-high latitude cooling compares well with multi-model, mean-temperature trends for the warmest months and that these cooling trends reflect a linear response to the warmest-month insolation decrease over the interglacial intervals. The most notable exception is the strong LIG cooling trend reconstructed from Greenland ice cores that is not simulated by any of the models. A striking model-data mismatch is found for both the PIG and the LIG over large parts of the mid-to-high latitudes of the Southern Hemisphere where the data depicts negative temperature trends that are not in agreement with near zero trends in the simulations. In this area, the ... Article in Journal/Newspaper Antarc* Antarctica Greenland Greenland ice cores ice core Sea ice Max Planck Society: MPG.PuRe Greenland Quaternary Science Reviews 99 224 243 |
institution |
Open Polar |
collection |
Max Planck Society: MPG.PuRe |
op_collection_id |
ftpubman |
language |
English |
description |
Though primarily driven by insolation changes associated with well-known variations in Earth's astronomical parameters, the response of the climate system during interglacials includes a diversity of feedbacks involving the atmosphere, ocean, sea ice, vegetation and land ice. A thorough multi-model-data comparison is essential to assess the ability of climate models to resolve interglacial temperature trends and to help in understanding the recorded climatic signal and the underlying climate dynamics. We present the first multi-model-data comparison of transient millennial-scale temperature changes through two intervals of the Present Interglacial (PIG; 8-1.2 ka) and the Last Interglacial (LIG; 123-116.2 ka) periods. We include temperature trends simulated by 9 different climate models, alkenone-based temperature reconstructions from 117 globally distributed locations (about 45% of them within the LIG) and 12 ice-core-based temperature trends from Greenland and Antarctica (50% of them within the LIG). The definitions of these specific interglacial intervals enable a consistent inter-comparison of the two intervals because both are characterised by minor changes in atmospheric greenhouse gas concentrations and more importantly by insolation trends that show clear similarities. Our analysis shows that in general the reconstructed PIG and LIG Northern Hemisphere mid-to-high latitude cooling compares well with multi-model, mean-temperature trends for the warmest months and that these cooling trends reflect a linear response to the warmest-month insolation decrease over the interglacial intervals. The most notable exception is the strong LIG cooling trend reconstructed from Greenland ice cores that is not simulated by any of the models. A striking model-data mismatch is found for both the PIG and the LIG over large parts of the mid-to-high latitudes of the Southern Hemisphere where the data depicts negative temperature trends that are not in agreement with near zero trends in the simulations. In this area, the ... |
format |
Article in Journal/Newspaper |
author |
Bakker, P. Masson-Delmotte, V. Martrat, B. Charbit, S. Renssen, H. Groeger, M. Krebs-Kanzow, U. Lohmann, G. Lunt, D. Pfeiffer, M. Phipps, S. Prange, M. Ritz, S. Schulz, M. Stenni, B. Stone, E. Varma, V. |
spellingShingle |
Bakker, P. Masson-Delmotte, V. Martrat, B. Charbit, S. Renssen, H. Groeger, M. Krebs-Kanzow, U. Lohmann, G. Lunt, D. Pfeiffer, M. Phipps, S. Prange, M. Ritz, S. Schulz, M. Stenni, B. Stone, E. Varma, V. Temperature trends during the present and last interglacial periods - a multi-model-data comparison |
author_facet |
Bakker, P. Masson-Delmotte, V. Martrat, B. Charbit, S. Renssen, H. Groeger, M. Krebs-Kanzow, U. Lohmann, G. Lunt, D. Pfeiffer, M. Phipps, S. Prange, M. Ritz, S. Schulz, M. Stenni, B. Stone, E. Varma, V. |
author_sort |
Bakker, P. |
title |
Temperature trends during the present and last interglacial periods - a multi-model-data comparison |
title_short |
Temperature trends during the present and last interglacial periods - a multi-model-data comparison |
title_full |
Temperature trends during the present and last interglacial periods - a multi-model-data comparison |
title_fullStr |
Temperature trends during the present and last interglacial periods - a multi-model-data comparison |
title_full_unstemmed |
Temperature trends during the present and last interglacial periods - a multi-model-data comparison |
title_sort |
temperature trends during the present and last interglacial periods - a multi-model-data comparison |
publishDate |
2014 |
url |
http://hdl.handle.net/11858/00-001M-0000-0023-D29F-7 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Antarc* Antarctica Greenland Greenland ice cores ice core Sea ice |
genre_facet |
Antarc* Antarctica Greenland Greenland ice cores ice core Sea ice |
op_source |
Quaternary Science Reviews |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.quascirev.2014.06.031 http://hdl.handle.net/11858/00-001M-0000-0023-D29F-7 |
op_doi |
https://doi.org/10.1016/j.quascirev.2014.06.031 |
container_title |
Quaternary Science Reviews |
container_volume |
99 |
container_start_page |
224 |
op_container_end_page |
243 |
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1774724705403535360 |