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(with the fewest samples). The uncertainty of Weibull k is around 0.04 and for energy density<br />

from 20 to 50 Wm −2 .<br />

15.13 Lifting satellite winds to hub-height<br />

The SAR-based wind results are valid at 10 m above sea level (modern turbines operate at<br />

100 m). The vertical wind profile offshore is a function of atmospheric stability, roughness and<br />

boundary layer height (Peña et al. 2012). A method to extrapolate the satellite wind resource<br />

statistics to wind turbine hub-height is developed. It is based on combining atmospheric<br />

stabilityinformationfrom mesoscalemodelsintothestabilitydependentwindprofileequation.<br />

Preliminary results are presented (Hasager at al., 2012). The potential use of the lifting<br />

of satellite winds to hub-height is applicable for all types of 10 m satellite wind resource<br />

statistics including SAR and scatterometer. An improvement to the method is currently being<br />

investigated. The key difference is the use of stability information per scene versus average<br />

stability. It is expected to be more robust and reliable to use average stability for lifting winds<br />

to hub-height.<br />

15.14 Future advances in ocean wind mapping from SAR<br />

For end-users the level 2 wind product from Sentinel-1 is foreseen to be important new<br />

data. There will still be the need for evaluation and improvement on SAR wind retrieval.<br />

Investigations of Doppler shift anomaly in combination with GMF is one way as well as new<br />

adjustment to polarization ratio and validated GMFs for X- and L-band. Re-processing of<br />

the full Envisat archive to wind fields would be relevant for European scale wind resource<br />

mapping such as the New European Wind Atlas.<br />

15.15 Acknowledgements<br />

We are very thankful for collaboration with Frank Monaldo and Alexis Mouche. Envisat<br />

data provided by the European Space Agency and RADARSAT-1 data from MacDonald,<br />

Dettwiler and Associates Ltd are acknowledged. Projects we acknowledge are Offshore wind<br />

mapping in India with Centre for Wind Energy Technology (C-WET), FP7 NORSEWInD<br />

TREN-FP7-219048, FP7 EERA DTOC FP7-ENERGY-2011-1/ n ◦ 282797, ICEWIND Nordic<br />

Top-levelResearchInitiative,FP7 EuropeanRegionalDevelopmentFundandtheSouthBaltic<br />

Programme: South Baltic Offshore Wind Energy Regions project, Off-Shore Wind Energy<br />

Resource Assessment and Feasibility Study of Off-Shore Wind Farm Development in China<br />

(EU-China Energy and Environment Programme), Offshore wind energy analyses over the<br />

United Arab Emirates is funded by Abu Dhabi Future Energy Company (Masdar). We enjoy<br />

the long-term visit of Yuko Takeyama.<br />

Notation<br />

A function of wind speed and local incident angle in a GMF<br />

A Weibull scale parameter<br />

ALOS Advanced Land Observing Satellite (Japan)<br />

ANSWRS APL/NOAA SAR wind retrieval system<br />

ASAR advanced C-band SAR<br />

ASCAT Advanced Scatterometer<br />

ASI Italian Space Agency<br />

B function of wind speed and local incident angle in a GMF<br />

C function of wind speed and local incident angle in a GMF<br />

CAST China Association for Science and Technology<br />

CSA Canadian Space Agency<br />

<strong>DTU</strong> Wind Energy-E-Report-0029(EN) 291

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