1:45 PM - 2:00 PM
[AOS17-01] Development of the Meteorological Research Institute Community Ocean Model (MRI.COM) (2): Release of version 5.0
Keywords:OGCM, model development, operational model
The Meteorological Research Institute Community Ocean Model, MRI.COM, is an ocean general circulation model developed by the Meteorological Research Institute (MRI). Development of this model began around 2000, and it has been used for a wide range of purposes, including MRI's earth system models and operational systems of Japan Meteorological Agency (JMA). After announcing v4.0, which renewed the vertical coordinate system, at the JOS 2015 Fall Meeting, we have continued development and released stable versions regularly as v4.2 in 2016, v4.4 in 2017, v4.6 in 2019, and v5.0 in 2021. In this presentation, we introduce model improvements made after v4.0 and our situation regarding the model development.
One of the major improvements is the renewal of the time integration scheme from the Leapfrog Matsuno method to the Leapfrog Adams Moulton method. With this change, the time step interval can be extended so that the speed can be increased by up to 40%. Speeding up is an important issue, and we have made full introduction of OpenMP, MPI-IO, and reduction of communication costs. Many efforts have also been made to improve stability, and results of these improvements have been utilized in the JMA's operation of "the Japanese Coastal Ocean Monitoring and Forecasting System" since 2020. Another important issue is the improvement of coupling with atmospheric and sea ice models. A set of the bulk formula for atmospheric forcings, which is consistent with the JMA's operational AGCM, has been introduced, and some sea ice processes have been upgraded. In addition, analysis functions for modeling research have been enhanced such as isopycnal analysis, particle tracking, netCDF output. There are many other improvements, including introduction of new physical schemes and model adjustments. Currently, we are in the process of updating the manual by summarizing the above improvements.
In addition to the model itself, our situation has also progressed toward efficient development. We, as a model development group, established a development management method (Sakamoto et al., 2019, Oceanography in Japan), and started limited release using the external website "GitHub" (reported in the JOS 2019 Fall Meeting). Furthermore, we would like to emphasize cooperative relationships inside and outside JMA for model development. We have regularly communicated with the JMA's operational model development team as well as the ocean data assimilation group and the earth system model development group in MRI, and built a system to receive their feedbacks directly using a project management tool. Outside JMA, MRI.COM experiments for climate change prediction have been conducted in collaboration with a JAMSTEC group, and bay-scale simulations based on MRI.COM have been developed in collaboration with the Hokkaido University and the University of Tsukuba. An OGCM intercomparison project has also started with an OGCM development group of the University of Tokyo and JAMSTEC. We will continue to aggregate diverse ocean modeling researches into the development of the MRI.COM.
One of the major improvements is the renewal of the time integration scheme from the Leapfrog Matsuno method to the Leapfrog Adams Moulton method. With this change, the time step interval can be extended so that the speed can be increased by up to 40%. Speeding up is an important issue, and we have made full introduction of OpenMP, MPI-IO, and reduction of communication costs. Many efforts have also been made to improve stability, and results of these improvements have been utilized in the JMA's operation of "the Japanese Coastal Ocean Monitoring and Forecasting System" since 2020. Another important issue is the improvement of coupling with atmospheric and sea ice models. A set of the bulk formula for atmospheric forcings, which is consistent with the JMA's operational AGCM, has been introduced, and some sea ice processes have been upgraded. In addition, analysis functions for modeling research have been enhanced such as isopycnal analysis, particle tracking, netCDF output. There are many other improvements, including introduction of new physical schemes and model adjustments. Currently, we are in the process of updating the manual by summarizing the above improvements.
In addition to the model itself, our situation has also progressed toward efficient development. We, as a model development group, established a development management method (Sakamoto et al., 2019, Oceanography in Japan), and started limited release using the external website "GitHub" (reported in the JOS 2019 Fall Meeting). Furthermore, we would like to emphasize cooperative relationships inside and outside JMA for model development. We have regularly communicated with the JMA's operational model development team as well as the ocean data assimilation group and the earth system model development group in MRI, and built a system to receive their feedbacks directly using a project management tool. Outside JMA, MRI.COM experiments for climate change prediction have been conducted in collaboration with a JAMSTEC group, and bay-scale simulations based on MRI.COM have been developed in collaboration with the Hokkaido University and the University of Tsukuba. An OGCM intercomparison project has also started with an OGCM development group of the University of Tokyo and JAMSTEC. We will continue to aggregate diverse ocean modeling researches into the development of the MRI.COM.