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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ftncar:oai:drupal-site.org:articles_25854 2024-04-14T08:15:29+00:00 Uncertainty in Atlantic Multidecadal Oscillation derived from different observed datasets and their possible causes Zhao, Bowen (author) Lin, Pengfei (author) Hu, Aixue (author) Liu, Hailong (author) Ding, Mengrong (author) Yu, Zipeng (author) Yu, Yongqiang (author) 2022-10-28 https://doi.org/10.3389/fmars.2022.1007646 en eng Frontiers in Marine Science--Front. Mar. Sci.--2296-7745 Correcting datasets leads to more homogeneous early 20th century sea surface warming--10.7910/DVN/DXJIGA articles:25854 doi:10.3389/fmars.2022.1007646 ark:/85065/d73n277d Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. article Text 2022 ftncar https://doi.org/10.3389/fmars.2022.1007646 2024-03-21T18:00:26Z 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. 1844590 Article in Journal/Newspaper North Atlantic OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Frontiers in Marine Science 9 |
institution |
Open Polar |
collection |
OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
op_collection_id |
ftncar |
language |
English |
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. 1844590 |
author2 |
Zhao, Bowen (author) Lin, Pengfei (author) Hu, Aixue (author) Liu, Hailong (author) Ding, Mengrong (author) Yu, Zipeng (author) Yu, Yongqiang (author) |
format |
Article in Journal/Newspaper |
title |
Uncertainty in Atlantic Multidecadal Oscillation derived from different observed datasets and their possible causes |
spellingShingle |
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 |
2022 |
url |
https://doi.org/10.3389/fmars.2022.1007646 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
Frontiers in Marine Science--Front. Mar. Sci.--2296-7745 Correcting datasets leads to more homogeneous early 20th century sea surface warming--10.7910/DVN/DXJIGA articles:25854 doi:10.3389/fmars.2022.1007646 ark:/85065/d73n277d |
op_rights |
Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
op_doi |
https://doi.org/10.3389/fmars.2022.1007646 |
container_title |
Frontiers in Marine Science |
container_volume |
9 |
_version_ |
1796313831754956800 |