2134/24401
Peter Argyle
Peter
Argyle
Simon Watson
Simon
Watson
Mesoscale models as alternatives to meteorological masts
Loughborough University
2017
untagged
Mechanical Engineering not elsewhere classified
2017-03-13 15:41:43
Conference contribution
https://repository.lboro.ac.uk/articles/conference_contribution/Mesoscale_models_as_alternatives_to_meteorological_masts/9545165
This paper compares wind speed and direction output from the WRF mesoscale model with measurements taken on two offshore meteorological masts in the Irish Sea. The WRF model is run using both the reanalysis dataset ERA-Interim supplied by the European Centre for Medium-range Weather Forecasts (ECMWF) and the combined datasets MERRA-2 (Modern-Era Retrospective Analysis for Research and Applications) and GLDAS (Global Land Data Assimilation System) both supplied by the Goddard Earth Sciences Data and Information Services Centre. It is found that using WRF with the ERA-Interim data returns reliable offshore wind resource statistics, both on an individual 10-minute timeframe and averaged across the 40 day validation period. The MERRA-2/GLDAS data however led WRF to significantly underestimate wind speeds and positively bias the wind direction from sectors with longer fetch. There was also evidence of the directional bias being smaller when using the ERA-Interim data for directions with smaller fetch. A good background knowledge is recommended when using WRF.