An assessment of the Indian Ocean mean state and seasonal cycle in a suite of interannual CORE-II simulations

Highlights: • Assessment of the Indian Ocean simulation from global forced sea- ice models. • SST biases are 2 times smaller in forced simulations than the coupled simulations. • Coupled model shows large inter-model spread over the eastern equatorial Indian Ocean. • Refinement in model horizontal r...

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Published in:Ocean Modelling
Main Authors: Rahaman, H., Srinivasu, U., Panickal, S., Durgadoo, Jonathan V., Griffies, S.M., Ravichandran, M., Bozec, A., Cherchi, A., Voldoire, A., Sidorenko, D ., Chassignet, E.P., Danabasoglu, G., Tsujino, H., Getzlaff, Klaus, Ilicak, M., Bentsen, M., Long, M.C., Fogli, P.G., Farneti, R., Danilov, S., Marsland, S.J., Valcke, S., Yeager, S.G., Wang, Q.
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2020
Subjects:
Online Access:https://oceanrep.geomar.de/id/eprint/48440/
https://oceanrep.geomar.de/id/eprint/48440/1/1-s2.0-S1463500319301118-main.pdf
https://doi.org/10.1016/j.ocemod.2019.101503
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spelling ftoceanrep:oai:oceanrep.geomar.de:48440 2023-05-15T18:18:11+02:00 An assessment of the Indian Ocean mean state and seasonal cycle in a suite of interannual CORE-II simulations Rahaman, H. Srinivasu, U. Panickal, S. Durgadoo, Jonathan V. Griffies, S.M. Ravichandran, M. Bozec, A. Cherchi, A. Voldoire, A. Sidorenko, D . Chassignet, E.P. Danabasoglu, G. Tsujino, H. Getzlaff, Klaus Ilicak, M. Bentsen, M. Long, M.C. Fogli, P.G. Farneti, R. Danilov, S. Marsland, S.J. Valcke, S. Yeager, S.G. Wang, Q. 2020-01 text https://oceanrep.geomar.de/id/eprint/48440/ https://oceanrep.geomar.de/id/eprint/48440/1/1-s2.0-S1463500319301118-main.pdf https://doi.org/10.1016/j.ocemod.2019.101503 en eng Elsevier https://oceanrep.geomar.de/id/eprint/48440/1/1-s2.0-S1463500319301118-main.pdf Rahaman, H., Srinivasu, U., Panickal, S., Durgadoo, J. V. , Griffies, S. M., Ravichandran, M., Bozec, A., Cherchi, A., Voldoire, A., Sidorenko, D., Chassignet, E. P., Danabasoglu, G., Tsujino, H., Getzlaff, K. , Ilicak, M., Bentsen, M., Long, M. C., Fogli, P. G., Farneti, R., Danilov, S., Marsland, S. J., Valcke, S., Yeager, S. G. and Wang, Q. (2020) An assessment of the Indian Ocean mean state and seasonal cycle in a suite of interannual CORE-II simulations. Open Access Ocean Modelling, 145 . Art.Nr. 101503. DOI 10.1016/j.ocemod.2019.101503 <https://doi.org/10.1016/j.ocemod.2019.101503>. doi:10.1016/j.ocemod.2019.101503 cc_by_4.0 info:eu-repo/semantics/openAccess Article PeerReviewed 2020 ftoceanrep https://doi.org/10.1016/j.ocemod.2019.101503 2023-04-07T15:48:25Z Highlights: • Assessment of the Indian Ocean simulation from global forced sea- ice models. • SST biases are 2 times smaller in forced simulations than the coupled simulations. • Coupled model shows large inter-model spread over the eastern equatorial Indian Ocean. • Refinement in model horizontal resolution does not significantly improve simulations. • Uncover a secondary pathway of northward cross-equatorial transport along 75 °E. • Models are unable to capture the observed thick barrier layer in the north Bay of Bengal. Abstract: We present an analysis of annual and seasonal mean characteristics of the Indian Ocean circulation and water masses from 16 global ocean–sea-ice model simulations that follow the Coordinated Ocean-ice Reference Experiments (CORE) interannual protocol (CORE-II). All simulations show a similar large-scale tropical current system, but with differences in the Equatorial Undercurrent. Most CORE-II models simulate the structure of the Cross Equatorial Cell (CEC) in the Indian Ocean. We uncover a previously unidentified secondary pathway of northward cross-equatorial transport along 75 °E, thus complementing the pathway near the Somali Coast. This secondary pathway is most prominent in the models which represent topography realistically, thus suggesting a need for realistic bathymetry in climate models. When probing the water mass structure in the upper ocean, we find that the salinity profiles are closer to observations in geopotential (level) models than in isopycnal models. More generally, we find that biases are model dependent, thus suggesting a grouping into model lineage, formulation of the surface boundary, vertical coordinate and surface salinity restoring. Refinement in model horizontal resolution (one degree versus degree) does not significantly improve simulations, though there are some marginal improvements in the salinity and barrier layer results. The results in turn suggest that a focus on improving physical parameterizations (e.g. boundary layer processes) may offer more ... Article in Journal/Newspaper Sea ice OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Indian North Bay ENVELOPE(-37.690,-37.690,-54.040,-54.040) Ocean Modelling 145 101503
institution Open Polar
collection OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel)
op_collection_id ftoceanrep
language English
description Highlights: • Assessment of the Indian Ocean simulation from global forced sea- ice models. • SST biases are 2 times smaller in forced simulations than the coupled simulations. • Coupled model shows large inter-model spread over the eastern equatorial Indian Ocean. • Refinement in model horizontal resolution does not significantly improve simulations. • Uncover a secondary pathway of northward cross-equatorial transport along 75 °E. • Models are unable to capture the observed thick barrier layer in the north Bay of Bengal. Abstract: We present an analysis of annual and seasonal mean characteristics of the Indian Ocean circulation and water masses from 16 global ocean–sea-ice model simulations that follow the Coordinated Ocean-ice Reference Experiments (CORE) interannual protocol (CORE-II). All simulations show a similar large-scale tropical current system, but with differences in the Equatorial Undercurrent. Most CORE-II models simulate the structure of the Cross Equatorial Cell (CEC) in the Indian Ocean. We uncover a previously unidentified secondary pathway of northward cross-equatorial transport along 75 °E, thus complementing the pathway near the Somali Coast. This secondary pathway is most prominent in the models which represent topography realistically, thus suggesting a need for realistic bathymetry in climate models. When probing the water mass structure in the upper ocean, we find that the salinity profiles are closer to observations in geopotential (level) models than in isopycnal models. More generally, we find that biases are model dependent, thus suggesting a grouping into model lineage, formulation of the surface boundary, vertical coordinate and surface salinity restoring. Refinement in model horizontal resolution (one degree versus degree) does not significantly improve simulations, though there are some marginal improvements in the salinity and barrier layer results. The results in turn suggest that a focus on improving physical parameterizations (e.g. boundary layer processes) may offer more ...
format Article in Journal/Newspaper
author Rahaman, H.
Srinivasu, U.
Panickal, S.
Durgadoo, Jonathan V.
Griffies, S.M.
Ravichandran, M.
Bozec, A.
Cherchi, A.
Voldoire, A.
Sidorenko, D .
Chassignet, E.P.
Danabasoglu, G.
Tsujino, H.
Getzlaff, Klaus
Ilicak, M.
Bentsen, M.
Long, M.C.
Fogli, P.G.
Farneti, R.
Danilov, S.
Marsland, S.J.
Valcke, S.
Yeager, S.G.
Wang, Q.
spellingShingle Rahaman, H.
Srinivasu, U.
Panickal, S.
Durgadoo, Jonathan V.
Griffies, S.M.
Ravichandran, M.
Bozec, A.
Cherchi, A.
Voldoire, A.
Sidorenko, D .
Chassignet, E.P.
Danabasoglu, G.
Tsujino, H.
Getzlaff, Klaus
Ilicak, M.
Bentsen, M.
Long, M.C.
Fogli, P.G.
Farneti, R.
Danilov, S.
Marsland, S.J.
Valcke, S.
Yeager, S.G.
Wang, Q.
An assessment of the Indian Ocean mean state and seasonal cycle in a suite of interannual CORE-II simulations
author_facet Rahaman, H.
Srinivasu, U.
Panickal, S.
Durgadoo, Jonathan V.
Griffies, S.M.
Ravichandran, M.
Bozec, A.
Cherchi, A.
Voldoire, A.
Sidorenko, D .
Chassignet, E.P.
Danabasoglu, G.
Tsujino, H.
Getzlaff, Klaus
Ilicak, M.
Bentsen, M.
Long, M.C.
Fogli, P.G.
Farneti, R.
Danilov, S.
Marsland, S.J.
Valcke, S.
Yeager, S.G.
Wang, Q.
author_sort Rahaman, H.
title An assessment of the Indian Ocean mean state and seasonal cycle in a suite of interannual CORE-II simulations
title_short An assessment of the Indian Ocean mean state and seasonal cycle in a suite of interannual CORE-II simulations
title_full An assessment of the Indian Ocean mean state and seasonal cycle in a suite of interannual CORE-II simulations
title_fullStr An assessment of the Indian Ocean mean state and seasonal cycle in a suite of interannual CORE-II simulations
title_full_unstemmed An assessment of the Indian Ocean mean state and seasonal cycle in a suite of interannual CORE-II simulations
title_sort assessment of the indian ocean mean state and seasonal cycle in a suite of interannual core-ii simulations
publisher Elsevier
publishDate 2020
url https://oceanrep.geomar.de/id/eprint/48440/
https://oceanrep.geomar.de/id/eprint/48440/1/1-s2.0-S1463500319301118-main.pdf
https://doi.org/10.1016/j.ocemod.2019.101503
long_lat ENVELOPE(-37.690,-37.690,-54.040,-54.040)
geographic Indian
North Bay
geographic_facet Indian
North Bay
genre Sea ice
genre_facet Sea ice
op_relation https://oceanrep.geomar.de/id/eprint/48440/1/1-s2.0-S1463500319301118-main.pdf
Rahaman, H., Srinivasu, U., Panickal, S., Durgadoo, J. V. , Griffies, S. M., Ravichandran, M., Bozec, A., Cherchi, A., Voldoire, A., Sidorenko, D., Chassignet, E. P., Danabasoglu, G., Tsujino, H., Getzlaff, K. , Ilicak, M., Bentsen, M., Long, M. C., Fogli, P. G., Farneti, R., Danilov, S., Marsland, S. J., Valcke, S., Yeager, S. G. and Wang, Q. (2020) An assessment of the Indian Ocean mean state and seasonal cycle in a suite of interannual CORE-II simulations. Open Access Ocean Modelling, 145 . Art.Nr. 101503. DOI 10.1016/j.ocemod.2019.101503 <https://doi.org/10.1016/j.ocemod.2019.101503>.
doi:10.1016/j.ocemod.2019.101503
op_rights cc_by_4.0
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op_doi https://doi.org/10.1016/j.ocemod.2019.101503
container_title Ocean Modelling
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