MOVE/MRI.COM-C

Area: Quasi-Global

Period: 1950-2011

Data available: NO

Model: JMA/MRI-CGCM (Coupled Atmosphere-Ocean model for the current operational seasonal forecast in JMA. The ocean component is MRI.COM Ver. 2.)
Resolution: Lat: 0.3-1°, Lon: 1°, 50 Levels (Max level: 5000m. Max thickness 750m. The layer thickness is equal to or less than 10m above 200m depth.), 75°S-75°N, 0-360°E (without the North Pole)
Data assimilated: T, S profiles (WOD01, GTSPP, TAO/TRITON), COBE-SST (Gridded SST data for the climate analysis compiled in JMA), Satellite Sea Surface Height Data (Along track data of TOPEX/Poseidon, Jason-1, Jason-2, ERS-1. ERS-2, and ENVISAT subtracted from Ssalto/Duacs delayed-time multimission altimeter product.)
Assimilation method: MOVE Ver. 2 (3DVAR with coupled T-S EOF modes), Quasi-coupled Data assimilation (Weakly coupled data assimilation without assimilating atmospheric observation data)
Forcing and relaxation used: Forcing data: Sea surface output of the atmospheric part of the coupled model
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Contact: YOSUKE FUJII, yfujii (at) mri-jma.go.jp, (Japan Meteorological Agency/ Meteorological Research Institute)
References: Y. Fujii, T. Nakaegawa, S. Matsumoto, T. Yasuda, G. Yamanaka, and M. Kamachi (2009): Coupled climate simulation by constraining ocean fields in a coupled model with ocean data. J. Climate, 22(20), 5541-5557.
Y. Fujii, M. Kamachi, T. Nakaegawa, T. Yasuda, G. Yamanaka, T.Toyoda, K. Ando, and S. Matsumoto, 2011: Assimilating Ocean Observation data for ENSO monitoring and forecasting. Climate Variability - Some Aspects, Challenges and Prospects, Ed: A. Hannachi, ISBN:979-953-307-236-3, InTech, Rijeka, Croatia 75-98, DOI: 10.5772/30330. Available from: http://www.intechopen.com/books/climate-variability-some-aspects-challenges-and-prospects/assimilating-ocean-observation-data-for-enso-monitoring-and-forecasting
Information: http://www.mri-jma.go.jp/