Title
Regionally Coupled Atmosphere-Ocean-Marine Biogeochemistry Model ROM: 2. Studying the Climate Change Signal in the North Atlantic and Europe
Date Issued
01 August 2020
Access level
open access
Resource Type
journal article
Author(s)
Sein D.V.
Gröger M.
Cabos W.
Alvarez-Garcia F.J.
Hagemann S.
Pinto J.G.
Izquierdo A.
de la Vara A.
Koldunov N.V.
Dvornikov A.Y.
Limareva N.
Alekseeva E.
Martinez-Lopez B.
Jacob D.
Publisher(s)
Blackwell Publishing Ltd
Abstract
Climate simulations for the North Atlantic and Europe for recent and future conditions simulated with the regionally coupled ROM model are analyzed and compared to the results from the MPI-ESM. The ROM simulations also include a biogeochemistry and ocean tides. For recent climate conditions, ROM generally improves the simulations compared to the driving model MPI-ESM. Reduced oceanic biases in the Northern Atlantic are found, as well as a better simulation of the atmospheric circulation, notably storm tracks and blocking. Regarding future climate projections for the 21st century following the RCP 4.5 and 8.5 scenarios, MPI-ESM and ROM largely agree qualitatively on the climate change signal over Europe. However, many important differences are identified. For example, ROM shows an SST cooling in the Subpolar Gyre, which is not present in MPI-ESM. Under the RCP8.5 scenario, ROM Arctic sea ice cover is thinner and reaches the seasonally ice-free state by 2055, well before MPI-ESM. This shows the decisive importance of higher ocean resolution and regional coupling for determining the regional responses to global warming trends. Regarding biogeochemistry, both ROM and MPI-ESM simulate a widespread decline in winter nutrient concentration in the North Atlantic of up to ~35%. On the other hand, the phytoplankton spring bloom in the Arctic and in the North-Western Atlantic starts earlier, and the yearly primary production is enhanced in the Arctic in the late 21st century. These results clearly demonstrate the added value of ROM to determine more detailed and more reliable climate projections at the regional scale.
Volume
12
Issue
8
Language
English
OCDE Knowledge area
Ciencias del medio ambiente
Oceanografía, Hidrología, Recursos hídricos
Subjects
Scopus EID
2-s2.0-85089553710
Source
Journal of Advances in Modeling Earth Systems
ISSN of the container
19422466
Sponsor(s)
The work of D. Sein was supported by the German Federal Ministry of Education and Research (BMBF) in the framework of the SODEEP project under Research Grant 01DJ18016B and the state assignment of the Ministry of Science and Higher Education of Russia (Theme 0149‐2019‐0015). N. Koldunov was supported by projects S1 of the Collaborative Research Centre TRR 181 “Energy Transfer in Atmosphere and Ocean” funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Project 274762653. J. G. Pinto thanks the AXA Research Fund for support. W. Cabos thanks the CRYOPERU‐CIENCIACTIVA 144‐2015 project. The work of A. Dvornikov was supported by the grant of the Russian Foundation for Basic Research (RFBR) (Project 16‐55‐76021) and the state assignment of the Ministry of Science and Higher Education of Russia (Theme 0149‐2019‐0015). F. Álvarez‐García and W. Cabos acknowledge the support of the Research Vice‐Chancellorship of the University of Alcala through Project CCG2017/EXP‐049. A. de la Vara was supported by the Spanish Ministry of Science, Innovation and Universities, the Spanish State Research Agency, and the European Regional Development Fund, through Grant CGL2017‐89583‐R. Simulations were performed at the German Climate Computing Center (DKRZ). We thank Marina Tarasova, the anonymous reviewers, and Andreas Oschlies for the constructive suggestions and critical remarks, which helped to improve the manuscript.
The work of D. Sein was supported by the German Federal Ministry of Education and Research (BMBF) in the framework of the SODEEP project under Research Grant 01DJ18016B and the state assignment of the Ministry of Science and Higher Education of Russia (Theme 0149-2019-0015). N. Koldunov was supported by projects S1 of the Collaborative Research Centre TRR 181 “Energy Transfer in Atmosphere and Ocean” funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Project 274762653. J. G. Pinto thanks the AXA Research Fund for support. W. Cabos thanks the CRYOPERU-CIENCIACTIVA 144-2015 project. The work of A. Dvornikov was supported by the grant of the Russian Foundation for Basic Research (RFBR) (Project 16-55-76021) and the state assignment of the Ministry of Science and Higher Education of Russia (Theme 0149-2019-0015). F. Álvarez-García and W. Cabos acknowledge the support of the Research Vice-Chancellorship of the University of Alcala through Project CCG2017/EXP-049. A. de la Vara was supported by the Spanish Ministry of Science, Innovation and Universities, the Spanish State Research Agency, and the European Regional Development Fund, through Grant CGL2017-89583-R. Simulations were performed at the German Climate Computing Center (DKRZ). We thank Marina Tarasova, the anonymous reviewers, and Andreas Oschlies for the constructive suggestions and critical remarks, which helped to improve the manuscript.
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