ERA15 initialized surface fields and model levels (31) - T106 resolution, 6h interval storage. Reorganized in order to force regional atmospheric models.
Operational analyses are affected by the major changes in models, analysis technique, assimilation, and observation usage which are an essential product of research and progress. They also can make use only of those observations which become available within near real time. The ECMWF (European Centre for Medium-Range Weather Forecasts) performed a consistent re-analysis of atmospheric data using a "frozen" production system. The ECMWF Re-Analysis (ERA) Project produced a new, validated 15 year data set of assimilated data for the period 12/1978-02/1994. The assimilation scheme consisted mainly of the Integrated Forecast System (IFS) version of the ECMWF forecast model with T106 resolution on 31 vertical hybrid levels. An intermittent statistical (optimum interpolation) analysis with 6 hour cycling was performed. It includes a diabatic, non-linear normal mode initialisation (5 vertical modes). The data sets (T106 resolution) consist of global initialiazed surface and model level fields which are stored in 6h-intervals (0,6,12,18). The datasets are extracted from the original ERA15 data (see ECMWF Re-Analysis Project). They contain those variables which can directly be used for forcing of regional atmospheric models.
Gibson, Rex (2001). ERA15 initialized surface fields and model levels (31) - T106 resolution, 6h interval storage. Reorganized in order to force regional atmospheric models. World Data Center for Climate (WDCC) at DKRZ. https://hdl.handle.net/21.14106/87f06e3d919808a2a905848959c53643a41034f7