Uncertainty in Atlantic Multidecadal Oscillation derived from different observed datasets and their possible causes
As a leading mode of sea surface temperature (SST) variability over the North Atlantic in both observations and model simulations, the Atlantic Multidecadal Oscillation (AMO) can have a substantial influence on regional and global climate. By using Low-Frequency Component Analysis, we explore the un...
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ftosti:oai:osti.gov:1970376 2023-07-30T04:05:13+02:00 Uncertainty in Atlantic Multidecadal Oscillation derived from different observed datasets and their possible causes Zhao, Bowen Lin, Pengfei Hu, Aixue Liu, Hailong Ding, Mengrong Yu, Zipeng Yu, Yongqiang 2023-04-24 application/pdf http://www.osti.gov/servlets/purl/1970376 https://www.osti.gov/biblio/1970376 https://doi.org/10.3389/fmars.2022.1007646 unknown http://www.osti.gov/servlets/purl/1970376 https://www.osti.gov/biblio/1970376 https://doi.org/10.3389/fmars.2022.1007646 doi:10.3389/fmars.2022.1007646 54 ENVIRONMENTAL SCIENCES 2023 ftosti https://doi.org/10.3389/fmars.2022.1007646 2023-07-11T10:26:38Z As a leading mode of sea surface temperature (SST) variability over the North Atlantic in both observations and model simulations, the Atlantic Multidecadal Oscillation (AMO) can have a substantial influence on regional and global climate. By using Low-Frequency Component Analysis, we explore the uncertainties of the resulting AMO indices and the corresponding spatial patterns derived from three observational SST datasets. We found that the known coherent spatial pattern of the AMO at the basin scale over the North Atlantic appears in two out of the three datasets. Further analysis indicates that both the warming trend and the different techniques used to construct these observed gridded SSTs contribute to the AMO’s spatial coherence over the North Atlantic, especially during periods of sparse data sampling. The SST in the Extended Reconstructed SST dataset version 5 (ERSSTv5), changes from being systematically below the other datasets during the dense sampling periods on either side of the Second World War (WWII), to systematically above the other datasets during WWII, thereby introducing an artificial 10–20-year variability that affects the AMO’s spatial coherence. This coherence in the AMO’s spatial pattern is also affected by bias adjustment in ERSSTv5 at relative cool (i.e., non-summer) seasons, and by the heterogeneous North Atlantic warming pattern. The different AMO patterns can induce the different effects of wind, surface heat fluxes, and then drive ocean circulation and its heat transport convergence, especially for some seasons. For AMO indices, both the different detrending methods and different observational data result in uncertainty for the period 1935–1950. Such SST uncertainty is important to detect the relative role of the atmosphere and ocean in shaping the AMO. Other/Unknown Material North Atlantic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Frontiers in Marine Science 9 |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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54 ENVIRONMENTAL SCIENCES |
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54 ENVIRONMENTAL SCIENCES Zhao, Bowen Lin, Pengfei Hu, Aixue Liu, Hailong Ding, Mengrong Yu, Zipeng Yu, Yongqiang Uncertainty in Atlantic Multidecadal Oscillation derived from different observed datasets and their possible causes |
topic_facet |
54 ENVIRONMENTAL SCIENCES |
description |
As a leading mode of sea surface temperature (SST) variability over the North Atlantic in both observations and model simulations, the Atlantic Multidecadal Oscillation (AMO) can have a substantial influence on regional and global climate. By using Low-Frequency Component Analysis, we explore the uncertainties of the resulting AMO indices and the corresponding spatial patterns derived from three observational SST datasets. We found that the known coherent spatial pattern of the AMO at the basin scale over the North Atlantic appears in two out of the three datasets. Further analysis indicates that both the warming trend and the different techniques used to construct these observed gridded SSTs contribute to the AMO’s spatial coherence over the North Atlantic, especially during periods of sparse data sampling. The SST in the Extended Reconstructed SST dataset version 5 (ERSSTv5), changes from being systematically below the other datasets during the dense sampling periods on either side of the Second World War (WWII), to systematically above the other datasets during WWII, thereby introducing an artificial 10–20-year variability that affects the AMO’s spatial coherence. This coherence in the AMO’s spatial pattern is also affected by bias adjustment in ERSSTv5 at relative cool (i.e., non-summer) seasons, and by the heterogeneous North Atlantic warming pattern. The different AMO patterns can induce the different effects of wind, surface heat fluxes, and then drive ocean circulation and its heat transport convergence, especially for some seasons. For AMO indices, both the different detrending methods and different observational data result in uncertainty for the period 1935–1950. Such SST uncertainty is important to detect the relative role of the atmosphere and ocean in shaping the AMO. |
author |
Zhao, Bowen Lin, Pengfei Hu, Aixue Liu, Hailong Ding, Mengrong Yu, Zipeng Yu, Yongqiang |
author_facet |
Zhao, Bowen Lin, Pengfei Hu, Aixue Liu, Hailong Ding, Mengrong Yu, Zipeng Yu, Yongqiang |
author_sort |
Zhao, Bowen |
title |
Uncertainty in Atlantic Multidecadal Oscillation derived from different observed datasets and their possible causes |
title_short |
Uncertainty in Atlantic Multidecadal Oscillation derived from different observed datasets and their possible causes |
title_full |
Uncertainty in Atlantic Multidecadal Oscillation derived from different observed datasets and their possible causes |
title_fullStr |
Uncertainty in Atlantic Multidecadal Oscillation derived from different observed datasets and their possible causes |
title_full_unstemmed |
Uncertainty in Atlantic Multidecadal Oscillation derived from different observed datasets and their possible causes |
title_sort |
uncertainty in atlantic multidecadal oscillation derived from different observed datasets and their possible causes |
publishDate |
2023 |
url |
http://www.osti.gov/servlets/purl/1970376 https://www.osti.gov/biblio/1970376 https://doi.org/10.3389/fmars.2022.1007646 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
http://www.osti.gov/servlets/purl/1970376 https://www.osti.gov/biblio/1970376 https://doi.org/10.3389/fmars.2022.1007646 doi:10.3389/fmars.2022.1007646 |
op_doi |
https://doi.org/10.3389/fmars.2022.1007646 |
container_title |
Frontiers in Marine Science |
container_volume |
9 |
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1772817011246628864 |