Session Details
[A-OS19][EJ] Ocean climate modelling: present and future (Introduction of CMIP6/OMIP)
Sun. May 21, 2017 1:45 PM - 3:15 PM JST
Sun. May 21, 2017 4:45 AM - 6:15 AM UTC
Sun. May 21, 2017 4:45 AM - 6:15 AM UTC
302 International Conference Hall 3F
convener:Hiroyuki Tsujino(Japan Meteorological Agency, Meteorological Research Institute), Yoshiki Komuro(Japan Agency for Marine-Earth Science and Technology), Chairperson:Hiroyuki Tsujino(Japan Meteorological Agency / Meteorological Research Institute), Chairperson:Yoshiki Komuro(Japan Agency for Marine-Earth Science and Technology)
International collaboration is being promoted in the ocean modelling community. Ocean Model Intercomparison Project (OMIP) has been proposed and endorsed by CMIP6. Development of a next generation forcing dataset for global ocean-sea ice modelling based on a Japanese reanalysis dataset JRA-55 is also underway by an international collaborative effort between Ocean Model Development Panel of CLIVAR and Japanese researchers.
This session aims to introduce OMIP to a wider community and related activities and to provide an opportunity for discussing current status and future prospect of the ocean climate modelling. The focus will be on studies addressing the formation and variation of climate through numerical simulation of the oceans, as well as state-of-the-art technical advances on ocean climate modelling. Both OMIP-related activities and other studies are welcome.
This session aims to introduce OMIP to a wider community and related activities and to provide an opportunity for discussing current status and future prospect of the ocean climate modelling. The focus will be on studies addressing the formation and variation of climate through numerical simulation of the oceans, as well as state-of-the-art technical advances on ocean climate modelling. Both OMIP-related activities and other studies are welcome.
[AOS19-01]Coordinated Ocean-ice Reference Experiments (CORE-II): Ocean Model Intercomparison Project (OMIP)★Invited papers
*Simon James Marsland1,2,3,4, Stephen M. Griffies5, Gokhan Danabasoglu6 (1.CSIRO Oceans and Atmosphere, Aspendale, VIC, Australia, 2.Australian Research Council Centre of Excellence for Climate System Science (ARCCSS), 3.Antarctic Climate and Ecosystems Cooperative Research Centre (ACE CRC), University of Tasmania, Australia, 4.Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, Australia, 5.NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA, 6.National Centre for Atmospheric Research, Boulder, CO, USA)
[AOS19-02]JRA-55 based surface data set for driving ocean-sea ice models (JRA55-do). Part I: Development and evaluation of surface atmospheric field and air-sea flux
*Hiroyuki Tsujino1, Shogo L. Urakawa1, Hideyuki Nakano1, R. Justin Small2, Stephen G. Yeager2, Who M. Kim2, Gokhan Danabasoglu2, William G. Large2, Simon A. Josey3, Tatsuo Suzuki4, Yoshiki Komuro4, Dai Yamazaki4, Stephen M. Griffies5, Hiroyuki Tomita6, Maria Valdivieso7, Simon J. Marsland8,10,11,9, Fabio Boeira Dias11,10,9,8 (1.Japan Meteorological Agency / Meteorological Research Institute, 2.NCAR, USA, 3.NOC, UK, 4.JAMSTEC, 5.GFDL, USA, 6.Nagoya Univ., 7.Reading Univ., UK, 8.CSIRO Oceans and Atmosphere, Austraria, 9.Centre of Excellence for Climate System Science, Australia, 10.Antarctic Climate and Ecosystems Cooperative Research Centre, University of Tasmania, 11.Institute for Marine and Antarctic Studies, University of Tasmania)
[AOS19-03]Global ocean model development for CMIP6 in Meteorological Research Institute and its performance in reproducing ocean general circulation
*Shogo Urakawa1, Hiroyuki Tsujino1, Hideyuki Nakano1, Kei Sakamoto1, Goro Yamanaka1 (1.Meteorological Research Institute, Japan Meteorological Agency)
[AOS19-04]A preliminary hindcast experiment for CMIP6/OMIP using COCO4.9: comparison with a case forced by a new dataset JRA55-do
*Yoshiki Komuro1, Hiroaki Tatebe1, Tatsuo Suzuki1, Masao Kurogi1, Michio Watanabe1 (1.Japan Agency for Marine-Earth Science and Technology)
[AOS19-05]New modeling approach with probability distribution functions as a guideline for high resolution models: application for future states of the Arctic Ocean
*Motoyoshi Ikeda1,2 (1.Hokkaido University, 2.JAMSTEC)
[AOS19-06]Modeling of the glacial ocean carbon cycle with an ocean general circulation model
*Hidetaka Kobayashi1, Akira Oka1 (1. Atmosphere and Ocean Research Institute, The University of Tokyo)