Speaker
Description
Recently, the frequency of droughts, heatwaves and other extreme events like heavy precipitation dramatically increased all over the world. Therefore, it is essential to accurately predict these types of events with a sufficient forecast lead time. As these extreme events are usually triggered by large-scale circulation pattern, this raises the question if the traditional high-resolution limited area model (LAM) approach to predict these events is still valid.
Current operational global numerical weather prediction (NWP) models operate on horizontal resolution in the range of 10 km. However, several recent studies have shown that a higher model resolution is required to increase the accuracy of heavy precipitation forecast and the prediction of clouds. The latter is especially important on the climate time scale as clouds have a major impact on the earths’ radiation balance.
I will present first results of applying the NWP model MPAS on the global scale using horizontal resolutions of 3 km or less. In addition, I will give a brief introduction about implemented model enhancements, the I/O and the MPAS code performance on the HLRS Hawk system.
