Global Ocean Assimilation Data
BCC Global Ocean Data Assimilation System (BCC_GODAS) includes observational data pre-processing system, variation interpolation analysis system and its corresponding dynamic ocean model. A 4-D data assimilation scheme is adopted in the interpolation analysis system. A four-week window is opened, in which the observational data is interpolated trough an interpolation analysis system with certain weight. Cost functional extreme is calculated with a three-dimensional variation method at space scale. The dynamic ocean model is L30T63 OGCM 1.0. The assimilation results of BCC_GODAS system (such as SST, SSTA, El Nino indexes, temperature change in the sub-surface of the ocean, etc.) are consistent with NCEP’s assimilation data. It now operationally provides reliable initial ocean data to BCC coupled ocean-atmosphere model (BCC_CM1.0) to make seasonal and annual prediction.
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Operational Model Forecast Products
Since the establishment of the operational system of dynamic short-term climate prediction models in BCC in 2002, it underwent continuous development and improvement. Up to now, it has been used in the climate prediction on monthly, seasonal and annual scales and during the flooding season as well as in the Experiment of the East Asian Summer Monsoon Prediction for two consecutive years. The Monthly Dynamical Extended-Range Forecasts are produced on the 2nd, 12th and 22nd of each month, and prepares the seasonal forecast of spring, summer, autumn and winter before the 20th of February, May, August and November respectively on a regular basis. The seasonal predictions are updated monthly since Jan 2005.
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