11:00 AM - 1:00 PM
[AOS21-P02] Data synthesis researches with global observation networks and the 4DVAR assimilation system in JAMSTEC RIGC-GOORC
Data Synthesis Research Group in RIGC of JAMSTEC conducts synthesis analyses of global ocean observations mainly with the 4DVAR assimilation system. Our assimilation system has been developed to reproduce basin-scale and long-term variation in the ocean circulation utilizing the global ocean observations. Distributions of dissolved materials in the ocean are also obtained with the circulation in the reanalysis product by the 4DVAR assimilation. With these data assimilation systems, we tackle estimating dissolved material distribution with very sparse observations and infer variations in the regions and periods without modern dense observations (like the Argo float array).
For example, we successfully reproduced the detailed spatial variation in the deep layers in the North Pacific by incorporating geothermal effects and bottom intensified turbulent dissipation. This suggests that the observed spatial patterns can be interpreted with the results mainly from the effects of the spatial distribution of the dissipation. With this system, the recent development of Deep Argo floats will effectively clarify variations and the mechanisms in the deep ocean circulations.
We also investigated to reproduce dissolved material distributions. For example, our system can reproduce the 3-dimensional distribution including the dissolved iron sources with sparse observations, which were consistent with the circulation revealed by the 4DVAR assimilation system with much denser temperature and salinity observations. This manifests that this type of system can utilize sparse observations. We also conduct a trial to estimate the parameters to reveal the processes related to dissolved oxygen with dissolved oxygen observations with Argo floats, to respond to increasing dissolved oxygen observations with the BGC Argo project.
In this poster presentation, we will also show our activity to improve 4DVAR assimilation systems with new schemes associated with path signatures, and basic synthesis analysis with observation networks.
For example, we successfully reproduced the detailed spatial variation in the deep layers in the North Pacific by incorporating geothermal effects and bottom intensified turbulent dissipation. This suggests that the observed spatial patterns can be interpreted with the results mainly from the effects of the spatial distribution of the dissipation. With this system, the recent development of Deep Argo floats will effectively clarify variations and the mechanisms in the deep ocean circulations.
We also investigated to reproduce dissolved material distributions. For example, our system can reproduce the 3-dimensional distribution including the dissolved iron sources with sparse observations, which were consistent with the circulation revealed by the 4DVAR assimilation system with much denser temperature and salinity observations. This manifests that this type of system can utilize sparse observations. We also conduct a trial to estimate the parameters to reveal the processes related to dissolved oxygen with dissolved oxygen observations with Argo floats, to respond to increasing dissolved oxygen observations with the BGC Argo project.
In this poster presentation, we will also show our activity to improve 4DVAR assimilation systems with new schemes associated with path signatures, and basic synthesis analysis with observation networks.