Insights into Atlantic multidecadal variability using the Last Millennium Reanalysis framework

The Last Millennium Reanalysis (LMR) employs a data assimilation approach to reconstruct climate fields from annually resolved proxy data over years 0–2000 CE. We use the LMR to examine Atlantic multidecadal variability (AMV) over the last 2 millennia and find several robust thermodynamic features a...

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Published in:Climate of the Past
Main Authors: Singh, Hansi K. A., Hakim, Gregory J., Tardif, Robert, Emile-Geay, Julien, Noone, David C.
Format: Text
Language:English
Published: 2019
Subjects:
Online Access:https://doi.org/10.5194/cp-14-157-2018
https://cp.copernicus.org/articles/14/157/2018/
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spelling ftcopernicus:oai:publications.copernicus.org:cp58025 2023-05-15T13:11:50+02:00 Insights into Atlantic multidecadal variability using the Last Millennium Reanalysis framework Singh, Hansi K. A. Hakim, Gregory J. Tardif, Robert Emile-Geay, Julien Noone, David C. 2019-04-10 application/pdf https://doi.org/10.5194/cp-14-157-2018 https://cp.copernicus.org/articles/14/157/2018/ eng eng doi:10.5194/cp-14-157-2018 https://cp.copernicus.org/articles/14/157/2018/ eISSN: 1814-9332 Text 2019 ftcopernicus https://doi.org/10.5194/cp-14-157-2018 2020-07-20T16:23:25Z The Last Millennium Reanalysis (LMR) employs a data assimilation approach to reconstruct climate fields from annually resolved proxy data over years 0–2000 CE. We use the LMR to examine Atlantic multidecadal variability (AMV) over the last 2 millennia and find several robust thermodynamic features associated with a positive Atlantic Multidecadal Oscillation (AMO) index that reveal a dynamically consistent pattern of variability: the Atlantic and most continents warm; sea ice thins over the Arctic and retreats over the Greenland, Iceland, and Norwegian seas; and equatorial precipitation shifts northward. The latter is consistent with anomalous southward energy transport mediated by the atmosphere. Net downward shortwave radiation increases at both the top of the atmosphere and the surface, indicating a decrease in planetary albedo, likely due to a decrease in low clouds. Heat is absorbed by the climate system and the oceans warm. Wavelet analysis of the AMO time series shows a reddening of the frequency spectrum on the 50- to 100-year timescale, but no evidence of a distinct multidecadal or centennial spectral peak. This latter result is insensitive to both the choice of prior model and the calibration dataset used in the data assimilation algorithm, suggesting that the lack of a distinct multidecadal spectral peak is a robust result. Text albedo Arctic Greenland Iceland Sea ice Copernicus Publications: E-Journals Arctic Greenland Climate of the Past 14 2 157 174
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description The Last Millennium Reanalysis (LMR) employs a data assimilation approach to reconstruct climate fields from annually resolved proxy data over years 0–2000 CE. We use the LMR to examine Atlantic multidecadal variability (AMV) over the last 2 millennia and find several robust thermodynamic features associated with a positive Atlantic Multidecadal Oscillation (AMO) index that reveal a dynamically consistent pattern of variability: the Atlantic and most continents warm; sea ice thins over the Arctic and retreats over the Greenland, Iceland, and Norwegian seas; and equatorial precipitation shifts northward. The latter is consistent with anomalous southward energy transport mediated by the atmosphere. Net downward shortwave radiation increases at both the top of the atmosphere and the surface, indicating a decrease in planetary albedo, likely due to a decrease in low clouds. Heat is absorbed by the climate system and the oceans warm. Wavelet analysis of the AMO time series shows a reddening of the frequency spectrum on the 50- to 100-year timescale, but no evidence of a distinct multidecadal or centennial spectral peak. This latter result is insensitive to both the choice of prior model and the calibration dataset used in the data assimilation algorithm, suggesting that the lack of a distinct multidecadal spectral peak is a robust result.
format Text
author Singh, Hansi K. A.
Hakim, Gregory J.
Tardif, Robert
Emile-Geay, Julien
Noone, David C.
spellingShingle Singh, Hansi K. A.
Hakim, Gregory J.
Tardif, Robert
Emile-Geay, Julien
Noone, David C.
Insights into Atlantic multidecadal variability using the Last Millennium Reanalysis framework
author_facet Singh, Hansi K. A.
Hakim, Gregory J.
Tardif, Robert
Emile-Geay, Julien
Noone, David C.
author_sort Singh, Hansi K. A.
title Insights into Atlantic multidecadal variability using the Last Millennium Reanalysis framework
title_short Insights into Atlantic multidecadal variability using the Last Millennium Reanalysis framework
title_full Insights into Atlantic multidecadal variability using the Last Millennium Reanalysis framework
title_fullStr Insights into Atlantic multidecadal variability using the Last Millennium Reanalysis framework
title_full_unstemmed Insights into Atlantic multidecadal variability using the Last Millennium Reanalysis framework
title_sort insights into atlantic multidecadal variability using the last millennium reanalysis framework
publishDate 2019
url https://doi.org/10.5194/cp-14-157-2018
https://cp.copernicus.org/articles/14/157/2018/
geographic Arctic
Greenland
geographic_facet Arctic
Greenland
genre albedo
Arctic
Greenland
Iceland
Sea ice
genre_facet albedo
Arctic
Greenland
Iceland
Sea ice
op_source eISSN: 1814-9332
op_relation doi:10.5194/cp-14-157-2018
https://cp.copernicus.org/articles/14/157/2018/
op_doi https://doi.org/10.5194/cp-14-157-2018
container_title Climate of the Past
container_volume 14
container_issue 2
container_start_page 157
op_container_end_page 174
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