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 J., Bertler, Nancy A. N., Dixon, Daniel A., England, Mark, Favier, Vincent, Fogwill, Chris J., Fyfe, John C., Goodwin, Ian, Goosse, Hugues, Hobbs, Will, Jones, Julie M., Keller, Elizabeth D., Khan, Alia L., Phipps, Steven J., Raphael, Marilyn N., Russell, Joellen, Sime, Louise, Thomas, Elizabeth R., van den Broeke, Michiel R., Wainer, Ilana
Format: Article in Journal/Newspaper
Language:English
Published: 2019
Subjects:
Online Access:https://researchers.mq.edu.au/en/publications/a307bbe4-21aa-4def-b0e2-356bf6725b1a
https://doi.org/10.3390/geosciences9060255
https://research-management.mq.edu.au/ws/files/109851457/109801739.pdf
http://www.scopus.com/inward/record.url?scp=85067925592&partnerID=8YFLogxK
http://purl.org/au-research/grants/arc/FT160100029
http://purl.org/au-research/grants/arc/CE170100023
http://purl.org/au-research/grants/arc/SR140300001
id ftmacquarieunicr:oai:https://researchers.mq.edu.au:publications/a307bbe4-21aa-4def-b0e2-356bf6725b1a
record_format openpolar
spelling ftmacquarieunicr:oai:https://researchers.mq.edu.au:publications/a307bbe4-21aa-4def-b0e2-356bf6725b1a 2024-09-15T17:44:06+00:00 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 J. Bertler, Nancy A. N. Dixon, Daniel A. England, Mark Favier, Vincent Fogwill, Chris J. Fyfe, John C. Goodwin, Ian Goosse, Hugues Hobbs, Will Jones, Julie M. Keller, Elizabeth D. Khan, Alia L. Phipps, Steven J. Raphael, Marilyn N. Russell, Joellen Sime, Louise Thomas, Elizabeth R. van den Broeke, Michiel R. Wainer, Ilana 2019-06 application/pdf https://researchers.mq.edu.au/en/publications/a307bbe4-21aa-4def-b0e2-356bf6725b1a https://doi.org/10.3390/geosciences9060255 https://research-management.mq.edu.au/ws/files/109851457/109801739.pdf http://www.scopus.com/inward/record.url?scp=85067925592&partnerID=8YFLogxK http://purl.org/au-research/grants/arc/FT160100029 http://purl.org/au-research/grants/arc/CE170100023 http://purl.org/au-research/grants/arc/SR140300001 eng eng info:eu-repo/semantics/openAccess Bracegirdle , T J , Colleoni , F , Abram , N J , Bertler , N A N , Dixon , D A , England , M , Favier , V , Fogwill , C J , Fyfe , J C , Goodwin , I , Goosse , H , Hobbs , W , Jones , J M , Keller , E D , Khan , A L , Phipps , S J , Raphael , M N , Russell , J , Sime , L , Thomas , E R , van den Broeke , M R & Wainer , I 2019 , ' Back to the future : using long-term observational and paleo-proxy reconstructions to improve model projections of Antarctic climate ' , Geosciences , vol. 9 , no. 6 , 255 , pp. 1-29 . https://doi.org/10.3390/geosciences9060255 Antarctic Southern Ocean climate paleoclimate CMIP PMIP projections article 2019 ftmacquarieunicr https://doi.org/10.3390/geosciences9060255 2024-07-03T23:41:10Z 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 20 th 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 21 st century and beyond. We identify priorities and suggest next steps to addressing this. Article in Journal/Newspaper Antarc* Antarctic ice core Southern Ocean Macquarie University Research Portal Geosciences 9 6 255
institution Open Polar
collection Macquarie University Research Portal
op_collection_id ftmacquarieunicr
language English
topic Antarctic
Southern Ocean
climate
paleoclimate
CMIP
PMIP
projections
spellingShingle Antarctic
Southern Ocean
climate
paleoclimate
CMIP
PMIP
projections
Bracegirdle, Thomas J.
Colleoni, Florence
Abram, Nerilie J.
Bertler, Nancy A. N.
Dixon, Daniel A.
England, Mark
Favier, Vincent
Fogwill, Chris J.
Fyfe, John C.
Goodwin, Ian
Goosse, Hugues
Hobbs, Will
Jones, Julie M.
Keller, Elizabeth D.
Khan, Alia L.
Phipps, Steven J.
Raphael, Marilyn N.
Russell, Joellen
Sime, Louise
Thomas, Elizabeth R.
van den Broeke, Michiel R.
Wainer, Ilana
Back to the future:using long-term observational and paleo-proxy reconstructions to improve model projections of Antarctic climate
topic_facet Antarctic
Southern Ocean
climate
paleoclimate
CMIP
PMIP
projections
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 20 th 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 21 st century and beyond. We identify priorities and suggest next steps to addressing this.
format Article in Journal/Newspaper
author Bracegirdle, Thomas J.
Colleoni, Florence
Abram, Nerilie J.
Bertler, Nancy A. N.
Dixon, Daniel A.
England, Mark
Favier, Vincent
Fogwill, Chris J.
Fyfe, John C.
Goodwin, Ian
Goosse, Hugues
Hobbs, Will
Jones, Julie M.
Keller, Elizabeth D.
Khan, Alia L.
Phipps, Steven J.
Raphael, Marilyn N.
Russell, Joellen
Sime, Louise
Thomas, Elizabeth R.
van den Broeke, Michiel R.
Wainer, Ilana
author_facet Bracegirdle, Thomas J.
Colleoni, Florence
Abram, Nerilie J.
Bertler, Nancy A. N.
Dixon, Daniel A.
England, Mark
Favier, Vincent
Fogwill, Chris J.
Fyfe, John C.
Goodwin, Ian
Goosse, Hugues
Hobbs, Will
Jones, Julie M.
Keller, Elizabeth D.
Khan, Alia L.
Phipps, Steven J.
Raphael, Marilyn N.
Russell, Joellen
Sime, Louise
Thomas, Elizabeth R.
van den Broeke, Michiel R.
Wainer, Ilana
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
publishDate 2019
url https://researchers.mq.edu.au/en/publications/a307bbe4-21aa-4def-b0e2-356bf6725b1a
https://doi.org/10.3390/geosciences9060255
https://research-management.mq.edu.au/ws/files/109851457/109801739.pdf
http://www.scopus.com/inward/record.url?scp=85067925592&partnerID=8YFLogxK
http://purl.org/au-research/grants/arc/FT160100029
http://purl.org/au-research/grants/arc/CE170100023
http://purl.org/au-research/grants/arc/SR140300001
genre Antarc*
Antarctic
ice core
Southern Ocean
genre_facet Antarc*
Antarctic
ice core
Southern Ocean
op_source Bracegirdle , T J , Colleoni , F , Abram , N J , Bertler , N A N , Dixon , D A , England , M , Favier , V , Fogwill , C J , Fyfe , J C , Goodwin , I , Goosse , H , Hobbs , W , Jones , J M , Keller , E D , Khan , A L , Phipps , S J , Raphael , M N , Russell , J , Sime , L , Thomas , E R , van den Broeke , M R & Wainer , I 2019 , ' Back to the future : using long-term observational and paleo-proxy reconstructions to improve model projections of Antarctic climate ' , Geosciences , vol. 9 , no. 6 , 255 , pp. 1-29 . https://doi.org/10.3390/geosciences9060255
op_rights info:eu-repo/semantics/openAccess
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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