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, Goose, 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:http://nora.nerc.ac.uk/id/eprint/523370/
https://nora.nerc.ac.uk/id/eprint/523370/1/geosciences-09-00255.pdf
https://www.mdpi.com/2076-3263/9/6/255
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spelling ftnerc:oai:nora.nerc.ac.uk:523370 2023-05-15T13:41:43+02:00 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 Goose, 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 2019-06-07 text http://nora.nerc.ac.uk/id/eprint/523370/ https://nora.nerc.ac.uk/id/eprint/523370/1/geosciences-09-00255.pdf https://www.mdpi.com/2076-3263/9/6/255 en eng https://nora.nerc.ac.uk/id/eprint/523370/1/geosciences-09-00255.pdf Bracegirdle, Thomas J. orcid:0000-0002-8868-4739 Colleoni, Florence; Abram, Nerilie J.; Bertler, Nancy A.N.; Dixon, Daniel A.; England, Mark; Favier, Vincent; Fogwill, Chris J.; Fyfe, John C.; Goodwin, Ian; Goose, Hugues; Hobbs, Will; Jones, Julie M.; Keller, Elizabeth D.; Khan, Alia L.; Phipps, Steven J.; Raphael, Marilyn N.; Russell, Joellen; Sime, Louise orcid:0000-0002-9093-7926 Thomas, Elizabeth R. orcid:0000-0002-3010-6493 van den Broeke, Michiel R.; Wainer, Ilana. 2019 Back to the Future: Using long-term observational and paleo-proxy reconstructions to improve model projections of Antarctic climate. Geosciences, 9 (6), 255. https://doi.org/10.3390/geosciences9060255 <https://doi.org/10.3390/geosciences9060255> cc_by_4 CC-BY Publication - Article PeerReviewed 2019 ftnerc https://doi.org/10.3390/geosciences9060255 2023-02-04T19:48:22Z 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. Article in Journal/Newspaper Antarc* Antarctic ice core Southern Ocean Natural Environment Research Council: NERC Open Research Archive Antarctic Southern Ocean The Antarctic Geosciences 9 6 255
institution Open Polar
collection Natural Environment Research Council: NERC Open Research Archive
op_collection_id ftnerc
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.
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
Goose, 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
spellingShingle 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
Goose, 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
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
Goose, 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 http://nora.nerc.ac.uk/id/eprint/523370/
https://nora.nerc.ac.uk/id/eprint/523370/1/geosciences-09-00255.pdf
https://www.mdpi.com/2076-3263/9/6/255
geographic Antarctic
Southern Ocean
The Antarctic
geographic_facet Antarctic
Southern Ocean
The Antarctic
genre Antarc*
Antarctic
ice core
Southern Ocean
genre_facet Antarc*
Antarctic
ice core
Southern Ocean
op_relation https://nora.nerc.ac.uk/id/eprint/523370/1/geosciences-09-00255.pdf
Bracegirdle, Thomas J. orcid:0000-0002-8868-4739
Colleoni, Florence; Abram, Nerilie J.; Bertler, Nancy A.N.; Dixon, Daniel A.; England, Mark; Favier, Vincent; Fogwill, Chris J.; Fyfe, John C.; Goodwin, Ian; Goose, Hugues; Hobbs, Will; Jones, Julie M.; Keller, Elizabeth D.; Khan, Alia L.; Phipps, Steven J.; Raphael, Marilyn N.; Russell, Joellen; Sime, Louise orcid:0000-0002-9093-7926
Thomas, Elizabeth R. orcid:0000-0002-3010-6493
van den Broeke, Michiel R.; Wainer, Ilana. 2019 Back to the Future: Using long-term observational and paleo-proxy reconstructions to improve model projections of Antarctic climate. Geosciences, 9 (6), 255. https://doi.org/10.3390/geosciences9060255 <https://doi.org/10.3390/geosciences9060255>
op_rights cc_by_4
op_rightsnorm CC-BY
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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