Wind characteristics in the North and Baltic Seas from the QuikSCAT satellite. (17th October 2012)
- Record Type:
- Journal Article
- Title:
- Wind characteristics in the North and Baltic Seas from the QuikSCAT satellite. (17th October 2012)
- Main Title:
- Wind characteristics in the North and Baltic Seas from the QuikSCAT satellite
- Authors:
- Karagali, Ioanna
Peña, Alfredo
Badger, Merete
Hasager, Charlotte Bay - Abstract:
- <abstract abstract-type="main" id="we1565-abs-0001"> <title>ABSTRACT</title> <p id="we1565-para-0001">The QuikSCAT mission provided valuable daily information on global ocean wind speed and direction from July 1999 until November 2009 for various applications including numerical weather prediction, ocean and atmospheric modelling. One new and important application for wind vector satellite data is offshore wind energy, where accurate and frequent measurements are required for siting and operating modern wind farms. The greatest advantage of satellite observations rests in their extended spatial coverage. This paper presents analyses of the 10 year data set from QuikSCAT, for the overview of the wind characteristics observed in the North and Baltic Seas, where most of Europe's offshore wind farms operate and more will be constructed. Significant issues in data availability are identified, directly related to the flagging schemes. In situ observations from three locations in the North Sea are used for comparisons. Mean biases (in situ minus satellite) are close to zero for wind speed and ‐2.7° for wind direction with a standard deviation of 1.2 m s <sup> − 1</sup> and 15°, respectively. The impact of using QuikSCAT and in situ measurements extrapolated to 10 m for wind power density estimations is assessed, accounting for possible influences of rain‐contaminated retrievals, the sample size, the atmospheric stability effects and either fitting the Weibull distribution or<abstract abstract-type="main" id="we1565-abs-0001"> <title>ABSTRACT</title> <p id="we1565-para-0001">The QuikSCAT mission provided valuable daily information on global ocean wind speed and direction from July 1999 until November 2009 for various applications including numerical weather prediction, ocean and atmospheric modelling. One new and important application for wind vector satellite data is offshore wind energy, where accurate and frequent measurements are required for siting and operating modern wind farms. The greatest advantage of satellite observations rests in their extended spatial coverage. This paper presents analyses of the 10 year data set from QuikSCAT, for the overview of the wind characteristics observed in the North and Baltic Seas, where most of Europe's offshore wind farms operate and more will be constructed. Significant issues in data availability are identified, directly related to the flagging schemes. In situ observations from three locations in the North Sea are used for comparisons. Mean biases (in situ minus satellite) are close to zero for wind speed and ‐2.7° for wind direction with a standard deviation of 1.2 m s <sup> − 1</sup> and 15°, respectively. The impact of using QuikSCAT and in situ measurements extrapolated to 10 m for wind power density estimations is assessed, accounting for possible influences of rain‐contaminated retrievals, the sample size, the atmospheric stability effects and either fitting the Weibull distribution or obtaining the estimates from the time series of wind speed observations.Copyright © 2012 John Wiley &amp; Sons, Ltd.</p> </abstract> … (more)
- Is Part Of:
- Wind energy. Volume 17:Number 1(2014:Jan.)
- Journal:
- Wind energy
- Issue:
- Volume 17:Number 1(2014:Jan.)
- Issue Display:
- Volume 17, Issue 1 (2014)
- Year:
- 2014
- Volume:
- 17
- Issue:
- 1
- Issue Sort Value:
- 2014-0017-0001-0000
- Page Start:
- 123
- Page End:
- 140
- Publication Date:
- 2012-10-17
- Subjects:
- Wind power -- Periodicals
621.312136 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/we.1565 ↗
- Languages:
- English
- ISSNs:
- 1095-4244
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9319.175010
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3963.xml