Multivariate Optimum Interpolation Analysis of Meteorological Data at the FleetNumerical Oceanography Center

摘要

The operational global database at Fleet Numerical Oceanography Center (FNOC) isthe most complete in the world. In addition to conventional radiosonde and surface data, it includes satellite-derived temperature soundings and satellite-derived wind information, along with synthetic observations in the vicinity of extratropical and tropical storms. To take full advantage of this database for improved meteorological analyses and forecasts, significant upgrades were made to the Navy Operational Global Atmospheric Prediction System (NOGAPS) at FNOC in January of 1988. These improvements included the implementation of a global spectral forecast model, a normal-mode initialization, improved data quality control, and a multivariate optimum interpolation (MVOI) analysis scheme. Since that time, the MVOI has become the centerpiece of all the Navy's meteorological data assimilation systems, providing global, regional, and local analysis capability both ashore and afloat. In a data assimilation system like NOGAPS, the 6-hour model forecast valid at the analysis time is used as the background for the analysis. The analysis, in turn, combines information from the background with the quality-controlled observations to provide updated fields that are used to initialize the forecast model. The MVOI analysis utilizes data from all available platforms to produce analyzed fields that possess minimum error in a statistical sense, while taking into account the error properties of the model forecast used for the background fields and the error properties of the observational data used to update the background.... Optimum interpolation analysis, Data assimilation, NOGAPS.