Top to bottom: anomalies of near-surface temperature in 1996–2010 in the ensemble of model runs, shading means statistical significance at the 99% level according to the t -test; root mean square deviation of ensemble members; anomaly of near-surface temperatures in 1996–2010 with respect to 1979–2010 in NCEP reanalysis; as above, but for MERRA reanalysis
Figure 6. Top to bottom: anomalies of near-surface temperature in 1996–2010 in the ensemble of model runs, shading means statistical significance at the 99% level according to the t -test; root mean square deviation of ensemble members; anomaly of near-surface temperatures in 1996–2010 with respect...
Main Author: | |
---|---|
Format: | Still Image |
Language: | unknown |
Published: |
IOP Publishing
2013
|
Subjects: | |
Online Access: | https://dx.doi.org/10.6084/m9.figshare.1011850 https://iop.figshare.com/articles/figure/_Top_to_bottom_anomalies_of_near_surface_temperature_in_1996_2010_in_the_ensemble_of_model_runs_shad/1011850 |
id |
ftdatacite:10.6084/m9.figshare.1011850 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.6084/m9.figshare.1011850 2023-05-15T14:41:21+02:00 Top to bottom: anomalies of near-surface temperature in 1996–2010 in the ensemble of model runs, shading means statistical significance at the 99% level according to the t -test; root mean square deviation of ensemble members; anomaly of near-surface temperatures in 1996–2010 with respect to 1979–2010 in NCEP reanalysis; as above, but for MERRA reanalysis E M Volodin 2013 https://dx.doi.org/10.6084/m9.figshare.1011850 https://iop.figshare.com/articles/figure/_Top_to_bottom_anomalies_of_near_surface_temperature_in_1996_2010_in_the_ensemble_of_model_runs_shad/1011850 unknown IOP Publishing Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Environmental Science Image Figure graphic ImageObject 2013 ftdatacite https://doi.org/10.6084/m9.figshare.1011850 2021-11-05T12:55:41Z Figure 6. Top to bottom: anomalies of near-surface temperature in 1996–2010 in the ensemble of model runs, shading means statistical significance at the 99% level according to the t -test; root mean square deviation of ensemble members; anomaly of near-surface temperatures in 1996–2010 with respect to 1979–2010 in NCEP reanalysis; as above, but for MERRA reanalysis. Abstract Data from a 500-year preindustrial control run of climate model INMCM4 show distinct climate variability in the Arctic and North Atlantic with a period of 35–50 years. The variability can be seen as anomalies of upper ocean density that appear in the Arctic and propagate to the North Atlantic. The density gradient in a northeast–southwest direction alternates with the density gradient in a northwest–southeast direction. A positive density anomaly in the Arctic is associated with a positive salinity anomaly, a positive surface temperature anomaly and a reduction of sea ice in the Barents and Kara Seas. The nature of the variability is a vertical advection of density by thermal currents similar to that proposed in Dijkstra et al (2008 Phil. Trans. R. Soc. A 366 ). The cycle of model variability shows that after a negative anomaly of density in the northwest Atlantic, one should expect warming in the Arctic in 5–10 years. The ensemble of decadal predictions with climate model INMCM4 starting from 1995 shows that warming in the western Arctic and especially in the Barents Sea observed in 1996–2010 can be reproduced by eight of ten ensemble members. Arctic climate predictability in this case is associated with a proposed mechanism of a 35–50 year North Atlantic–Arctic oscillation. Still Image Arctic Atlantic Arctic Atlantic-Arctic Barents Sea North Atlantic Northwest Atlantic Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Barents Sea Merra ENVELOPE(12.615,12.615,65.816,65.816) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Environmental Science |
spellingShingle |
Environmental Science E M Volodin Top to bottom: anomalies of near-surface temperature in 1996–2010 in the ensemble of model runs, shading means statistical significance at the 99% level according to the t -test; root mean square deviation of ensemble members; anomaly of near-surface temperatures in 1996–2010 with respect to 1979–2010 in NCEP reanalysis; as above, but for MERRA reanalysis |
topic_facet |
Environmental Science |
description |
Figure 6. Top to bottom: anomalies of near-surface temperature in 1996–2010 in the ensemble of model runs, shading means statistical significance at the 99% level according to the t -test; root mean square deviation of ensemble members; anomaly of near-surface temperatures in 1996–2010 with respect to 1979–2010 in NCEP reanalysis; as above, but for MERRA reanalysis. Abstract Data from a 500-year preindustrial control run of climate model INMCM4 show distinct climate variability in the Arctic and North Atlantic with a period of 35–50 years. The variability can be seen as anomalies of upper ocean density that appear in the Arctic and propagate to the North Atlantic. The density gradient in a northeast–southwest direction alternates with the density gradient in a northwest–southeast direction. A positive density anomaly in the Arctic is associated with a positive salinity anomaly, a positive surface temperature anomaly and a reduction of sea ice in the Barents and Kara Seas. The nature of the variability is a vertical advection of density by thermal currents similar to that proposed in Dijkstra et al (2008 Phil. Trans. R. Soc. A 366 ). The cycle of model variability shows that after a negative anomaly of density in the northwest Atlantic, one should expect warming in the Arctic in 5–10 years. The ensemble of decadal predictions with climate model INMCM4 starting from 1995 shows that warming in the western Arctic and especially in the Barents Sea observed in 1996–2010 can be reproduced by eight of ten ensemble members. Arctic climate predictability in this case is associated with a proposed mechanism of a 35–50 year North Atlantic–Arctic oscillation. |
format |
Still Image |
author |
E M Volodin |
author_facet |
E M Volodin |
author_sort |
E M Volodin |
title |
Top to bottom: anomalies of near-surface temperature in 1996–2010 in the ensemble of model runs, shading means statistical significance at the 99% level according to the t -test; root mean square deviation of ensemble members; anomaly of near-surface temperatures in 1996–2010 with respect to 1979–2010 in NCEP reanalysis; as above, but for MERRA reanalysis |
title_short |
Top to bottom: anomalies of near-surface temperature in 1996–2010 in the ensemble of model runs, shading means statistical significance at the 99% level according to the t -test; root mean square deviation of ensemble members; anomaly of near-surface temperatures in 1996–2010 with respect to 1979–2010 in NCEP reanalysis; as above, but for MERRA reanalysis |
title_full |
Top to bottom: anomalies of near-surface temperature in 1996–2010 in the ensemble of model runs, shading means statistical significance at the 99% level according to the t -test; root mean square deviation of ensemble members; anomaly of near-surface temperatures in 1996–2010 with respect to 1979–2010 in NCEP reanalysis; as above, but for MERRA reanalysis |
title_fullStr |
Top to bottom: anomalies of near-surface temperature in 1996–2010 in the ensemble of model runs, shading means statistical significance at the 99% level according to the t -test; root mean square deviation of ensemble members; anomaly of near-surface temperatures in 1996–2010 with respect to 1979–2010 in NCEP reanalysis; as above, but for MERRA reanalysis |
title_full_unstemmed |
Top to bottom: anomalies of near-surface temperature in 1996–2010 in the ensemble of model runs, shading means statistical significance at the 99% level according to the t -test; root mean square deviation of ensemble members; anomaly of near-surface temperatures in 1996–2010 with respect to 1979–2010 in NCEP reanalysis; as above, but for MERRA reanalysis |
title_sort |
top to bottom: anomalies of near-surface temperature in 1996–2010 in the ensemble of model runs, shading means statistical significance at the 99% level according to the t -test; root mean square deviation of ensemble members; anomaly of near-surface temperatures in 1996–2010 with respect to 1979–2010 in ncep reanalysis; as above, but for merra reanalysis |
publisher |
IOP Publishing |
publishDate |
2013 |
url |
https://dx.doi.org/10.6084/m9.figshare.1011850 https://iop.figshare.com/articles/figure/_Top_to_bottom_anomalies_of_near_surface_temperature_in_1996_2010_in_the_ensemble_of_model_runs_shad/1011850 |
long_lat |
ENVELOPE(12.615,12.615,65.816,65.816) |
geographic |
Arctic Barents Sea Merra |
geographic_facet |
Arctic Barents Sea Merra |
genre |
Arctic Atlantic Arctic Atlantic-Arctic Barents Sea North Atlantic Northwest Atlantic Sea ice |
genre_facet |
Arctic Atlantic Arctic Atlantic-Arctic Barents Sea North Atlantic Northwest Atlantic Sea ice |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.1011850 |
_version_ |
1766313147314995200 |