Improving Multimodel Medium Range Precipitation Forecasts over the Greater Horn of Africa Using the FSU Superensemble
Previously Published Material: Currently under review by Journal of Meteorology and Atmospheric Physics
Abstract ID#: 33542
This study makes use of the WMO's multimodel data set called THORPEX Integrated Grand Global Ensemble (TIGGE) towards the construction of multimodel superensemble forecasts covering a period of 10 days. The goal of this study is to explore the forecast skill for precipitation forecasts over the Greater Horn of Africa (this is a consortium of 11 countries). The multimodels include forecast data set from a suite of models that include: the UK Met office model (UKMO), the US National weather model (NCEP), the European Model (ECMWF), and the Brazilian model (CPTEC). After performing a training phase for the superensemble weights covering the previous 450 days of October, November and December months of 2008 to 2012, forecasts of precipitation were prepared for the multimodel superensemble. These covered Day-1 to Day-10 of forecasts over the region. Various skill metrics were prepared to validate the forecast rainfall against the Tropical Rainfall Measuring Mission (TRMM) observed rainfall data. This study shows that the construction of the multimodel superensemble was a worthwhile effort since it provided the best overall skills for the RMS errors, the spatial correlations and the equitable threat scores and their bias errors for precipitation forecasts from day 1 to day 10 over all of the countries covered by the Greater Horn of Africa. The best among the member model was the UKMO model. This study strongly suggests the usefulness of a product such as the multimodel superensemble for improved precipitation forecasts over East Africa.