Joint ECMWF/OceanPredict workshop on Advances in Ocean Data Assimilation
Session
Conveners
Theme 1: Ocean and coupled reanalysis
- Magdalena Alonso Balmaseda (ECMWF)
- Andrea Storto (CMRE; CNR-ISMAR)
The Meteorological Research Institute (MRI) of the Japan Meteorological Agency (JMA) has developed a coupled atmosphere-ocean data assimilation system, MRI-CDA1, based on the coupled atmosphere-ocean general circulation model and separated atmosphere and ocean analysis routines adopted in JMA’s operational weather and climate prediction systems. In this presentation, we introduce the...
NOAA’s unified forecasting system (UFS) incorporates MOM6 ocean and CICE6 sea ice models as the ocean component of the future operational models: global weather (GFS), sub-seasonal (GEFS) and seasonal (SFS) forecasting systems. Furthermore, the UFS modeling infrastructure has been combined with the Joint Effort for Data Assimilation Integration (JEDI) project to establish NOAA’s Next...
A historical reconstruction of ocean and sea-ice states, or ocean reanalysis (ORA), can be produced using ocean and sea-ice model simulation constrained with some boundary forcing fluxes, and by observations via data assimilation method. A long-term ocean reanalyses can provide invaluable information for climate monitoring. However, a reliable reconstruction of the past ocean climate strongly...
The Estimating the Circulation and Climate of the Ocean (ECCO) Consortium has been producing dynamically and kinematically-consistent global ocean state estimates for nearly two decades. Our current focus is Version 4 of the “Central Estimate”, a data-constrained global, 1-degree, coupled ocean, sea-ice, and thermodynamic ice-sheet model that spans the period 1992-present. The coupled ocean...