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

• 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: Indian; North Bay; Sea ice
• 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

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...