Title
AMOC Variability and Watermass Transformations in the AWI Climate Model
Date Issued
01 October 2021
Access level
metadata only access
Resource Type
journal article
Author(s)
Sidorenko D.
Danilov S.
Streffing J.
Fofonova V.
Goessling H.F.
Scholz P.
Wang Q.
Androsov A.
Cabos W.
Juricke S.
Koldunov N.
Rackow T.
Sein D.V.
Jung T.
Publisher(s)
John Wiley and Sons Inc
Abstract
Using the depth (z) and density (ϱ) frameworks, we analyze local contributions to AMOC variability in a 900-year simulation with the AWI climate model. Both frameworks reveal a consistent interdecadal variability; however, the correlation between their maxima deteriorates on year-to-year scales. We demonstrate the utility of analyzing the spatial patterns of sinking and diapycnal transformations through depth levels and isopycnals. The success of this analysis relies on the spatial binning of these maps which is especially crucial for the maps of vertical velocities which appear to be too noisy in the main regions of upwelling and downwelling because of stepwise bottom topography. Furthermore, we show that the AMOC responds to fast (annual or faster) fluctuations in atmospheric forcing associated with the NAO. This response is more obvious in the ϱ than in the z framework. In contrast, the link between AMOC and deep water production south of Greenland is found for slower fluctuations and is consistent between the frameworks.
Volume
13
Issue
10
Language
English
OCDE Knowledge area
Ingeniería ambiental
Investigación climática
Scopus EID
2-s2.0-85118250248
Source
Journal of Advances in Modeling Earth Systems
ISSN of the container
19422466
DOI of the container
10.1029/2021MS002582
Source funding
Deutsche Forschungsgemeinschaft
Helmholtz Climate Initiative REKLIM
SSIP
Ministry of Science and Higher Education of the Russian Federation
Sponsor(s)
The authors thank anonymous reviewers for their very helpful comments. The work was supported by the Helmholtz Climate Initiative REKLIM (Regional Climate Change) (Q. Wang and D. Sidorenko), the APPLICATE (Advanced Prediction in Polar regions and beyond: modeling, observing system design and LInkages associated with a Changing Arctic climaTE, Grant No. H2020‐BG‐2016‐1) (T. Jung), contribution to the projects S1, S2, and L4 of the Collaborative Research Centre TRR 181 “Energy Transfer in Atmosphere and Ocean” funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under project number 274762653 (S. Danilov, J. Streffing, S. Juricke, N. Koldunov, and P. Scholz), the state assignment of the Ministry of Science and Higher Education of Russia (0128‐2021‐0014) (A. Androsov and D. Sein), and the Federal Ministry of Education and Research of Germany (BMBF) in the framework of SSIP, Grant 01LN1701A (H. Goessling). The authors gratefully acknowledge the Earth System Modelling Project (ESM) for funding this work by providing computing time on the ESM partition of the supercomputer JUWELS at the Jülich Supercomputing Centre (JSC). Open access funding enabled and organized by Projekt DEAL.
Sources of information:
Directorio de Producción Científica
Scopus