Back to the future: Using long-term observational and paleo-proxy reconstructions to improve model projections of antarctic climate

Quantitative estimates of future Antarctic climate change are derived from numerical global climate models. Evaluation of the reliability of climate model projections involves many lines of evidence on past performance combined with knowledge of the processes that need to be represented. Routine mod...

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Published in:Geosciences
Main Authors: Bracegirdle, Thomas J., Colleoni, Florence, Abram, Nerilie, Bertler, Nancy A. N., Dixon, Daniel A., England, Mark, Favier, Vincent, Fogwill, Chris J., Fyfe, John C., Goodwin, Ian, Goosse, Hugues
Format: Article in Journal/Newspaper
Language:English
Published: MDPI
Subjects:
Online Access:http://hdl.handle.net/1885/202016
https://doi.org/10.3390/geosciences9060255
https://openresearch-repository.anu.edu.au/bitstream/1885/202016/5/01_Bracegirdle_Back_to_the_future%253A_Using_2019.pdf.jpg
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spelling ftanucanberra:oai:openresearch-repository.anu.edu.au:1885/202016 2024-01-14T10:02:26+01:00 Back to the future: Using long-term observational and paleo-proxy reconstructions to improve model projections of antarctic climate Bracegirdle, Thomas J. Colleoni, Florence Abram, Nerilie Bertler, Nancy A. N. Dixon, Daniel A. England, Mark Favier, Vincent Fogwill, Chris J. Fyfe, John C. Goodwin, Ian Goosse, Hugues application/pdf http://hdl.handle.net/1885/202016 https://doi.org/10.3390/geosciences9060255 https://openresearch-repository.anu.edu.au/bitstream/1885/202016/5/01_Bracegirdle_Back_to_the_future%253A_Using_2019.pdf.jpg en_AU eng MDPI http://purl.org/au-research/grants/arc/FT160100029 http://purl.org/au-research/grants/arc/CE170100023 2076-3263 http://hdl.handle.net/1885/202016 doi:10.3390/geosciences9060255 https://openresearch-repository.anu.edu.au/bitstream/1885/202016/5/01_Bracegirdle_Back_to_the_future%253A_Using_2019.pdf.jpg © 2019 by the authors. http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution (CC BY) license Geosciences Journal article ftanucanberra https://doi.org/10.3390/geosciences9060255 2023-12-15T09:35:32Z Quantitative estimates of future Antarctic climate change are derived from numerical global climate models. Evaluation of the reliability of climate model projections involves many lines of evidence on past performance combined with knowledge of the processes that need to be represented. Routine model evaluation is mainly based on the modern observational period, which started with the establishment of a network of Antarctic weather stations in 1957/58. This period is too short to evaluate many fundamental aspects of the Antarctic and Southern Ocean climate system, such as decadal-to-century time-scale climate variability and trends. To help address this gap, we present a new evaluation of potential ways in which long-term observational and paleo-proxy reconstructions may be used, with a particular focus on improving projections. A wide range of data sources and time periods is included, ranging from ship observations of the early 20th century to ice core records spanning hundreds to hundreds of thousands of years to sediment records dating back 34 million years. We conclude that paleo-proxy records and long-term observational datasets are an underused resource in terms of strategies for improving Antarctic climate projections for the 21st century and beyond. We identify priorities and suggest next steps to addressing this. The Antarctic Climate Change in the 21st Century (AntClim21) Scientific Research Programme of the Scientific Committee on Antarctic Research are thanked for supporting the international scientific workshop at which the writing of this manuscript was initiated. This is a contribution to the PAGES 2k Network (through the CLIVASH 2k project). NJA acknowledges support by the Australian Research Council through a Future Fellowship (FT160100029) and the Centre of Excellence for Climate Extremes (CE170100023). SJP was supported under the Australian Research Council’s Special Research Initiative for the Antarctic Gateway Partnership (Project ID SR140300001). JMJ acknowledges support from the ... Article in Journal/Newspaper Antarc* Antarctic ice core Scientific Committee on Antarctic Research Southern Ocean Australian National University: ANU Digital Collections Antarctic Southern Ocean The Antarctic Geosciences 9 6 255
institution Open Polar
collection Australian National University: ANU Digital Collections
op_collection_id ftanucanberra
language English
description Quantitative estimates of future Antarctic climate change are derived from numerical global climate models. Evaluation of the reliability of climate model projections involves many lines of evidence on past performance combined with knowledge of the processes that need to be represented. Routine model evaluation is mainly based on the modern observational period, which started with the establishment of a network of Antarctic weather stations in 1957/58. This period is too short to evaluate many fundamental aspects of the Antarctic and Southern Ocean climate system, such as decadal-to-century time-scale climate variability and trends. To help address this gap, we present a new evaluation of potential ways in which long-term observational and paleo-proxy reconstructions may be used, with a particular focus on improving projections. A wide range of data sources and time periods is included, ranging from ship observations of the early 20th century to ice core records spanning hundreds to hundreds of thousands of years to sediment records dating back 34 million years. We conclude that paleo-proxy records and long-term observational datasets are an underused resource in terms of strategies for improving Antarctic climate projections for the 21st century and beyond. We identify priorities and suggest next steps to addressing this. The Antarctic Climate Change in the 21st Century (AntClim21) Scientific Research Programme of the Scientific Committee on Antarctic Research are thanked for supporting the international scientific workshop at which the writing of this manuscript was initiated. This is a contribution to the PAGES 2k Network (through the CLIVASH 2k project). NJA acknowledges support by the Australian Research Council through a Future Fellowship (FT160100029) and the Centre of Excellence for Climate Extremes (CE170100023). SJP was supported under the Australian Research Council’s Special Research Initiative for the Antarctic Gateway Partnership (Project ID SR140300001). JMJ acknowledges support from the ...
format Article in Journal/Newspaper
author Bracegirdle, Thomas J.
Colleoni, Florence
Abram, Nerilie
Bertler, Nancy A. N.
Dixon, Daniel A.
England, Mark
Favier, Vincent
Fogwill, Chris J.
Fyfe, John C.
Goodwin, Ian
Goosse, Hugues
spellingShingle Bracegirdle, Thomas J.
Colleoni, Florence
Abram, Nerilie
Bertler, Nancy A. N.
Dixon, Daniel A.
England, Mark
Favier, Vincent
Fogwill, Chris J.
Fyfe, John C.
Goodwin, Ian
Goosse, Hugues
Back to the future: Using long-term observational and paleo-proxy reconstructions to improve model projections of antarctic climate
author_facet Bracegirdle, Thomas J.
Colleoni, Florence
Abram, Nerilie
Bertler, Nancy A. N.
Dixon, Daniel A.
England, Mark
Favier, Vincent
Fogwill, Chris J.
Fyfe, John C.
Goodwin, Ian
Goosse, Hugues
author_sort Bracegirdle, Thomas J.
title Back to the future: Using long-term observational and paleo-proxy reconstructions to improve model projections of antarctic climate
title_short Back to the future: Using long-term observational and paleo-proxy reconstructions to improve model projections of antarctic climate
title_full Back to the future: Using long-term observational and paleo-proxy reconstructions to improve model projections of antarctic climate
title_fullStr Back to the future: Using long-term observational and paleo-proxy reconstructions to improve model projections of antarctic climate
title_full_unstemmed Back to the future: Using long-term observational and paleo-proxy reconstructions to improve model projections of antarctic climate
title_sort back to the future: using long-term observational and paleo-proxy reconstructions to improve model projections of antarctic climate
publisher MDPI
url http://hdl.handle.net/1885/202016
https://doi.org/10.3390/geosciences9060255
https://openresearch-repository.anu.edu.au/bitstream/1885/202016/5/01_Bracegirdle_Back_to_the_future%253A_Using_2019.pdf.jpg
geographic Antarctic
Southern Ocean
The Antarctic
geographic_facet Antarctic
Southern Ocean
The Antarctic
genre Antarc*
Antarctic
ice core
Scientific Committee on Antarctic Research
Southern Ocean
genre_facet Antarc*
Antarctic
ice core
Scientific Committee on Antarctic Research
Southern Ocean
op_source Geosciences
op_relation http://purl.org/au-research/grants/arc/FT160100029
http://purl.org/au-research/grants/arc/CE170100023
2076-3263
http://hdl.handle.net/1885/202016
doi:10.3390/geosciences9060255
https://openresearch-repository.anu.edu.au/bitstream/1885/202016/5/01_Bracegirdle_Back_to_the_future%253A_Using_2019.pdf.jpg
op_rights © 2019 by the authors.
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution (CC BY) license
op_doi https://doi.org/10.3390/geosciences9060255
container_title Geosciences
container_volume 9
container_issue 6
container_start_page 255
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