Wind characteristics in the North and Baltic Seas from the QuikSCAT satellite

Wind Energy

Volumn 17, Issue 1, 2014, Pages 123-140

  Karagali, Ioanna ^a   Peña, Alfredo ^a   Badger, Merete ^a   Hasager, Charlotte Bay ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Baltic Sea; in situ; North Sea; offshore wind energy; QuikSCAT

Indexed keywords

ELECTRIC UTILITIES; OFFSHORE OIL WELL PRODUCTION; SATELLITES; WEATHER FORECASTING; WEIBULL DISTRIBUTION; WIND EFFECTS;

ATMOSPHERIC MODELLING; BALTIC SEA; NORTH SEA; NUMERICAL WEATHER PREDICTION; OFF-SHORE WIND ENERGY; QUIKSCAT; SATELLITE OBSERVATIONS; WIND POWER DENSITY ESTIMATION;

OFFSHORE WIND FARMS;

AIR-SEA INTERACTION; ATMOSPHERIC MODELING; CLIMATE PREDICTION; GLOBAL OCEAN; QUIKSCAT; VELOCITY; WIND POWER;

ATLANTIC OCEAN; BALTIC SEA; NORTH SEA;

EID: 84890560545     PISSN: 10954244     EISSN: 10991824     Source Type: Journal    
DOI: 10.1002/we.1565     Document Type: Article

References (45)

1. Liu WT, Tang W,. Equivalent neutral wind. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, National Technical Information Service, distributor, 1996.
2. Batrhelmie R, Pryor S,. Can satellite sampling of offshore wind speeds realistically represent wind speed distributions? Journal Applied Meteorology 2003; 42: 83-94. (Pubitemid 37207706)
3. Pryor SC, Nielsen M, Barthelmie RJ, Mann J,. Can satellite sampling of offshore wind speeds realistically represent wind speed distributions? Part II: quantifying uncertainties associated with distribution fitting methods. Journal Applied Meteorology 2004; 43: 739-750. (Pubitemid 38884246)
4. Hasager CB, Barthelmie RJ, Christiansen MB, Nielsen M, Pryor SC,. Quantifying offshore wind resources from satellite wind maps: study area the North Sea. Wind Energy 2006; 9: 63-74. (Pubitemid 43281985)
5. Hasager CB, Peña A, Christiansen MB, Astrup P, Nielsen M, Monaldo F, Thompson D, Nielsen P,. Remote sensing observation used in offshore wind energy. IEEE Journal Selected Topics in Applied Earth Observations and Remote Sensing 2008; 1 (1): 67-79.
6. Peña A, Hahmann AN,. Atmospheric stability and turbulence fluxes at Horns Rev-an intercomparison of sonic, bulk and WRF model data. Wind Energy 2012; 15 (5): 717-731.
7. PO-DAAC 2001. SeaWinds on QuikSCAT Level 3 Daily, Gridded Ocean Wind Vectors (JPL SeaWinds Project) Guide Document. PODAAC, JPL, Version 1.1, October 2001, D-20335.
8. Pickett MH, Tang W, Rosenfeld LK, Wash CH,. QuikSCAT satellite comparisons with nearshore buoy wind data off the U.S. West Coast. Journal of Atmospheric and Oceanic Technology 2003; 20: 1869-1879. (Pubitemid 38122801)
9. Ebuch N, Graber HC, Caruso MJ,. Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data. Journal of Atmospheric and Oceanic Technology 2002; 19: 2049-2062. (Pubitemid 36144894)
10. Bourassa MA, Legler DM, O'Brien JJ, Smith SR,. SeaWinds validation with research vessels. Journal of Geophysical Research 2003; 108 (C2): 3019.
11. Satheesan K, Sarkar A, Parekh A, Ramesh Kumar MR, Kuroda Y,. Comparison of wind data from QuikSCAT and buoys in the Indian Ocean. International Journal of Remote Sensing 2007; 28 (10): 2375-2382. (Pubitemid 47097068)
12. Pensieri S, Bozzano R, Schiano ME,. Comparison between QuikSCAT and buoy wind data in the Lingurian Sea. Journal of Marine Systems 2010; 81: 286-296.
13. Mostovoy GV, Fitzpartick PJ, Li Y,. Regional accuracy of QuikSCAT gridded winds. International Journal of Remote Sensing 2005; 26 (18): 4117-4136. (Pubitemid 41601691)
14. Winterfeldt J, Andersson A, Klepp C, Bakan S, Weisse R,. Comparison of HOAPS, QuikSCAT and buoy wind speed in the Eastern North Atlantic and the North Sea. IEEE Transactions in Geosciences and Remote Sensing 2010; 48 (1): 338-347.
15. Zecchetto S, De Biasio F,. Sea surface winds over the Mediterranean basin from satellite data (2000-04): meso- and local-scale features on annual and seasonal time scales. Journal of Applied Meteorology and Climatology 2007; 10: 814-827. (Pubitemid 47108790)
16. Kolstad EW,. A QuikSCAT climatology of ocean surface winds in the Nordic seas: identification of features and comparison with the NCEP/NCAR reanalysis. Journal of Geophysical Research 2008; 113: D11106.
17. Risien CM, Chelton DB,. A satellite-derived climatology of global ocean winds. Remote Sensing of Environment 2006; 105 (3): 221-236. (Pubitemid 44708257)
18. Liu WT, Tang W, Xie X,. Wind power distribution over the ocean. Geophysical Research Letters 2008; 35: L13808.
19. Capps SB, Zender CS,. Estimated global ocean wind power potential from QuikSCAT observations, accounting for turbine characteristics and siting. Journal of Geophysical Research 2010; 115: D09101.
20. Furevik BR, Sempreviva AM, Cavaleri L, Lefèvre JM, Transerici C,. Eight years of wind measurements from scatterometer for wind resource mapping in the Mediterranean Sea. Wind Energy 2011; 14 (3): 355-372.
21. Portabella M, Stoffelen A,. Rain detection and quality control of SeaWinds. Journal of Atmospheric and Oceanic Technology 2001; 18: 1171-1183. (Pubitemid 32863418)
22. Hoffman RN, Leidner SM,. An introduction to the near-real-time QuikSCAT data. Weather Forecasting 2005; 20: 476-493. (Pubitemid 41536289)
23. Charnock H,. Wind stress on a water surface. Quarterly Journal Royal Meteorological Society 1955; 81: 639-640.
24. Sathe A, Gryning SE, Peña A,. Comparison of the atmospheric stability and wind profile climatology at two wind farm sites over a long marine fetch in the North Sea. Wind Energy 2010; 14 (6): 767-780.
25. Peña A, Hasager CB, Gryning SE, Courtney M, Antoniou I, Mikkelsen T,. Offshore wind profiling using light detection and ranging measurements. Wind Energy 2009; 12 (2): 105-124.
26. Troen I, Petersen EL,. European Wind Atlas. Risø National Laboratory: Roskilde, 1989. ISBN 87-550-1482-8.
27. Dickinson S, Kelly KA, Caruso MJ, McPhaden MJ,. Comparisons between the TAO buoy and NASA scatterometer wind vectors. Journal of Atmospheric and Oceanic Technology 2001; 18: 799-806. (Pubitemid 32546302)
28. Freilich MH, Dunbar SR,. The accuracy of the NSCAT 1 vector winds: comparisons with National Data Buoy Center buoys. Journal Geophysical Research 1999; 104 (C5): 11231-11246.
29. Larsén XG, Larsen S, Badger M,. A case-study of mesoscale spectra of wind and temperature, observed and simulated. Quarterly Journal Royal Meteorology Society 2011; 137 (654): 264-274.
30. Motta M, Barthelmie RJ,. The influence of non-logarithmic wind speed profiles on potential power output at Danish offshore sites. Wind Energy 2004; 8: 219-236. (Pubitemid 40844436)
31. Barthelmie R, Hansen OF, Enevoldsen K, Højstrup J, Frandsen S, Pryor SC, Larsen S, Motta M, Sanderhoff P,. Ten years of meteorological measurements for offshore wind farms. Journal Solar Energy Engineering 2005; 124 (2): 170-176. (Pubitemid 40715336)
32. Grønås S, Sandvik AD,. Numerical simulations of sea and land breezes at high latitudes. Tellus 1998; 50 (A): 468-489.
33. Badger M, Badger J, Nielsen M, Hasager CB, Peña A,. Wind class sampling of satellite SAR imagery for offshore wind resource mapping. Journal of Applied Meteorology and Climatology 2010; 49: 2474-2491.
34. Chelton D, Schlax MG, Freilich MH, Milliff RF,. Satellite measurements reveal persistent small-scale features in ocean winds. Science 2004; 19: 978-983. (Pubitemid 38209695)
35. Karagali I, Badger M, Peña A, Hahmann A, Hasager CB, Sempreviva AM,. Spatial and temporal variability of winds in the Northern European Seas. Renewable Energy 2012. accepted with reviews.
36. Karagali I, Høyer J, Hasager CB,. SST diurnal variability in the North Sea and the Baltic Sea. Remote Sensing of Environment 2012; 121: 159-170.
37. Kara AB, Wallcraft AJ, Bourassa MA,. Air-sea stability effects on the 10-m winds over the global ocean: evaluation of air-sea flux algorithms. Journal of Geophysical Research 2008; 113: C04009.
38. Peña A, Gryning SE, Hasager CB,. Comparing mixing-length models of the diabatic wind profile over homogeneous terrain. Theoretical and Applied Climatology 2010; 100 (3-4): 325-335.
39. Hilburn KA, Wentz FJ, Smith DK, Ashcroft PD,. Correcting active scatterometer data for the effects of rain using passive radiometer data. Journal of Applied Meteorology and Climatology 2006; 45: 382-398.
40. Gille ST, Llewellyn Smith SG, Statom NM,. Global observations of the land breeze. Geophysical Research Letters 2005; 32: 1-4. (Pubitemid 40815101)
41. Capon RA,. Wind speed-up in the Dover Straits with the Met Office new dynamics model. Meteorological Applications 2003; 10: 229-237. (Pubitemid 37525596)
42. Barstad I, Grønås S,. Southwesterly flows over southern Norway-mesoscale sensitivity to large-scale wind direction and speed. Tellus A 2005; 57 (2): 136-152. (Pubitemid 40367925)
43. Hasager CB, Badger M, Peña A, Larsen XG, Bingöl F,. SAR-based wind resource statistics in the Baltic Sea. Remote Sensing 2011; 3 (1): 117-144.
44. Hasager CB, Badger M, Astrup P, Karagali I,. Satellite remote sensing in offshore wind energy. In Handbook Wind Power Systems. Springer, book chapter, 2012. in press.
45. Badger M, Peña A, Bredesen RE, Berge E, Hahmann A, Badger J, Karagali I, Hasager CB, Mikkelsen T,. Bringing satellite winds to hub-height, Proceedings EWEA-The European Wind Energy Association, Copenhagen, Denmark, 2012.