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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Main Authors: 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.
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2019
Subjects:
Online Access:https://eprints.whiterose.ac.uk/148329/
https://eprints.whiterose.ac.uk/148329/1/geosciences-09-00255-v2.pdf
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spelling ftleedsuniv:oai:eprints.whiterose.ac.uk:148329 2023-05-15T13:34:42+02:00 Back to the future : using long-term observational and paleo-proxy reconstructions to improve model projections of Antarctic climate 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. 2019-06-07 text https://eprints.whiterose.ac.uk/148329/ https://eprints.whiterose.ac.uk/148329/1/geosciences-09-00255-v2.pdf en eng MDPI AG https://eprints.whiterose.ac.uk/148329/1/geosciences-09-00255-v2.pdf Bracegirdle, T.J., Colleoni, F., Abram, N.J. et al. (19 more authors) (2019) Back to the future : using long-term observational and paleo-proxy reconstructions to improve model projections of Antarctic climate. Geosciences, 9 (6). 255. ISSN 2076-3263 cc_by_4 CC-BY Article PeerReviewed 2019 ftleedsuniv 2023-01-30T22:20:32Z 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. Article in Journal/Newspaper Antarc* Antarctic ice core Southern Ocean White Rose Research Online (Universities of Leeds, Sheffield & York) Antarctic Southern Ocean The Antarctic
institution Open Polar
collection White Rose Research Online (Universities of Leeds, Sheffield & York)
op_collection_id ftleedsuniv
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, 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.
spellingShingle 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.
Back to the future : using long-term observational and paleo-proxy reconstructions to improve model projections of Antarctic climate
author_facet 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.
author_sort Bracegirdle, T.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 AG
publishDate 2019
url https://eprints.whiterose.ac.uk/148329/
https://eprints.whiterose.ac.uk/148329/1/geosciences-09-00255-v2.pdf
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://eprints.whiterose.ac.uk/148329/1/geosciences-09-00255-v2.pdf
Bracegirdle, T.J., Colleoni, F., Abram, N.J. et al. (19 more authors) (2019) Back to the future : using long-term observational and paleo-proxy reconstructions to improve model projections of Antarctic climate. Geosciences, 9 (6). 255. ISSN 2076-3263
op_rights cc_by_4
op_rightsnorm CC-BY
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