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 Often reanalysis data is used as the input for these models and one these datasets, MERRA from NASA, has recently been replaced by MERRA2.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.
Xiaoli Larsén (1) F Jianting Du (1)
(1) DTU , Roskilde, Denmark (2) DTU, Roskilde, Denmark
Presenter's biographyBiographies are supplied directly by presenters at WindEurope Summit 2016 and are published here unedited
Xiaoli Guo Larsén is senior scientist at Wind Energy Department, Technical University of Denmark. She received her Ph.D. on the topic of Air-Sea interaction in Uppsala University in 2003 and has been working on Wind Energy for more than 10 years. Her major activity topics includes basic atmospheric researches, wind resources and particularly, extreme wind modeling and estimation, and wind and wave interactions.