|Title||Comparing TIGGE multi-model forecasts with reforecast-calibrated ECMWF ensemble forecasts|
|Year of Publication||2012|
|Authors||Hagedorn, R, Buizza, R, Hamill, TM, Leutbecher, M, Palmer, TN|
|Secondary Title||Technical Memorandum|
|Type of Work||Technical Memorandum|
Forecasts provided by the THORPEX Interactive Grand Global Ensemble (TIGGE) project were compared with reforecast-calibrated ensemble predictions from the European Centre for Medium-Range Weather Forecasts (ECMWF) in extra-tropical regions. Considering the statistical performance of global probabilistic forecasts of 850-hPa and 2-m temperatures, a multimodel ensemble containing nine ensemble prediction systems (EPS) from the TIGGE archive did not improve on the performance of the best single-model, the ECMWF EPS. However, a reduced multimodel system, consisting of only the four best ensemble systems, provided by Canada, the US, the UK and ECMWF, showed an improved performance. The multimodel ensemble provides a benchmark for the single-model systems contributing to the multimodel. However, reforecast-calibrated ECMWF EPS forecasts were of comparable or superior quality to the multimodel predictions, when verified against two different reanalyses or observations. This improved performance was achieved by using the ECMWF reforecast dataset to correct for systematic errors and spread deficiencies. The ECMWF EPS was the main contributor for the improved performance of the multimodel ensemble; that is, if the multimodel system did not include the ECMWF contribution, it was not able to improve on the performance of the ECMWF EPS alone. These results were shown to be only marginally sensitive to the choice of verification data set.