Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean
View/ Open
Bibliography Export
Statistics
View Usage StatisticsFull record
Show full item recordAuthor/s
Ulazia, Alain; Sáenz, Jon; Ibarra-Berastegui, Gabriel; González-Rojí, Santos J.; Carreno-Madinabeitia, SheilaDate
2017-12-15Keywords
Offshore wind energy potential
WRF
WRFDA
Data assimilation
Mesoscale model
Fluid mechanics
Abstract
In this article, offshore wind energy potential is measured around the Iberian Mediterranean coast and the Balearic Islands using the WRF meteorological model without 3DVAR data assimilation (the N simulation) and with 3DVAR data assimilation (the D simulation). Both simulations have been checked against the observations of six buoys and a spatially distributed analysis of wind based on satellite data (second version of Cross-Calibrated Multi-Platform, CCMPv2), and compared with ERA-Interim (ERAI). Three statistical indicators have been used: Pearson’s correlation, root mean square error and the ratio of standard deviations. The simulation with data assimilation provides the best fit, and it is as good as ERAI, in many cases at a 95% confidence level. Although ERAI is the best model, in the spatially distributed evaluation versus CCMPv2 the D simulation has more consistent indicators than ERAI near the buoys. Additionally, our simulation’s spatial resolution is five times higher than ...
Type
journal article