14:30 - 16:00 Meso-scale modelling and the model chain
Room: Hall E
Numerical weather prediction models are increasingly being used for the estimation of wind resources over large regions. The large-scale wind resource maps resulting from such models are useful to identify favourable regions for wind energy deployment in the prospection phase. Often reanalysis data is used as the input for these models and one these datasets, MERRA from NASA, has recently been replaced by MERRA2. We will discuss the consequences of this change along with using micro-scale models to downscale. Speakers will also address the important subject of modelling storms using a coupled numerical weather model a spectral wave model.
You attended this session?
- An understanding of how to model winds and waves during a major storm;
- New techniques for using a microscale model to downscale from Weather Research and Forecasting (WRF);
- Improved guidelines for numerical modelling, turbulence analysis and wind engineering applications;
- Attendees will be introduced to MERRA2, a new Reanalysis database that will replace MERRA products;
- A map of changes in MERRA2 accuracy and how it affects representation of long-term wind variability will be provided for all target regions of the wind power industry.
Erik Lundtang Petersen
Emeritus Professor of Research, DTU Wind Energy, Denmark
The model chain and the spectral gap
European Wind Energy Master Student, Technical University of Denmark (DTU), Belgium
Validation of mesoscale generalisation procedure for the WRF Model
Senior Scientist, DTU Wind Energy, Denmark
CEO, Vortex, Spain
Half step forward towards new reanalysis generation: introducing MERRA2 and what it brings to the wind power industry
Physicist, Loughborough University, United Kingdom
Assessment of UK offshore wind speeds – masts and MERRA2 compared