NORSEWInD satellite wind climatology

Publication: ResearchReport – Annual report year: 2012

Standard

NORSEWInD satellite wind climatology. / Hasager, Charlotte Bay; Badger, Merete; Mouche, Alexis; Stoffelen, Ad; Driesenaar, Tilly; Karagali, Ioanna; Bingöl, Ferhat; Pena Diaz, Alfredo; Astrup, Poul; Nielsen, Morten; Hahmann, Andrea N.; Costa, Paulo; Berge, Erik; Bredesen, Rolv Erland.

DTU Wind Energy, 2012. 67 p. (DTU Wind Energy E; No. 0007).

Publication: ResearchReport – Annual report year: 2012

Harvard

Hasager, CB, Badger, M, Mouche, A, Stoffelen, A, Driesenaar, T, Karagali, I, Bingöl, F, Pena Diaz, A, Astrup, P, Nielsen, M, Hahmann, AN, Costa, P, Berge, E & Bredesen, RE 2012, NORSEWInD satellite wind climatology. DTU Wind Energy. DTU Wind Energy E, no. 0007

APA

Hasager, C. B., Badger, M., Mouche, A., Stoffelen, A., Driesenaar, T., Karagali, I., Bingöl, F., Pena Diaz, A., Astrup, P., Nielsen, M., Hahmann, A. N., Costa, P., Berge, E., & Bredesen, R. E. (2012). NORSEWInD satellite wind climatology. DTU Wind Energy. (DTU Wind Energy E; No. 0007).

CBE

Hasager CB, Badger M, Mouche A, Stoffelen A, Driesenaar T, Karagali I, Bingöl F, Pena Diaz A, Astrup P, Nielsen M, Hahmann AN, Costa P, Berge E, Bredesen RE 2012. NORSEWInD satellite wind climatology. DTU Wind Energy. 67 p. (DTU Wind Energy E; No. 0007).

MLA

Hasager, Charlotte Bay et al. NORSEWInD satellite wind climatology DTU Wind Energy. 2012. (DTU Wind Energy E; Journal number 0007).

Vancouver

Hasager CB, Badger M, Mouche A, Stoffelen A, Driesenaar T, Karagali I et al. NORSEWInD satellite wind climatology. DTU Wind Energy, 2012. 67 p. (DTU Wind Energy E; No. 0007).

Author

Hasager, Charlotte Bay; Badger, Merete; Mouche, Alexis; Stoffelen, Ad; Driesenaar, Tilly; Karagali, Ioanna; Bingöl, Ferhat; Pena Diaz, Alfredo; Astrup, Poul; Nielsen, Morten; Hahmann, Andrea N.; Costa, Paulo; Berge, Erik; Bredesen, Rolv Erland / NORSEWInD satellite wind climatology.

DTU Wind Energy, 2012. 67 p. (DTU Wind Energy E; No. 0007).

Publication: ResearchReport – Annual report year: 2012

Bibtex

@book{f4632595109b48c28f031f9fb7377cce,
title = "NORSEWInD satellite wind climatology",
publisher = "DTU Wind Energy",
author = "Hasager, {Charlotte Bay} and Merete Badger and Alexis Mouche and Ad Stoffelen and Tilly Driesenaar and Ioanna Karagali and Ferhat Bingöl and {Pena Diaz}, Alfredo and Poul Astrup and Morten Nielsen and Hahmann, {Andrea N.} and Paulo Costa and Erik Berge and Bredesen, {Rolv Erland}",
note = "FP7; contract no. TREN-FP7EN-219048",
year = "2012",
series = "DTU Wind Energy E",

}

RIS

TY - RPRT

T1 - NORSEWInD satellite wind climatology

A1 - Hasager,Charlotte Bay

A1 - Badger,Merete

A1 - Mouche,Alexis

A1 - Stoffelen,Ad

A1 - Driesenaar,Tilly

A1 - Karagali,Ioanna

A1 - Bingöl,Ferhat

A1 - Pena Diaz,Alfredo

A1 - Astrup,Poul

A1 - Nielsen,Morten

A1 - Hahmann,Andrea N.

A1 - Costa,Paulo

A1 - Berge,Erik

A1 - Bredesen,Rolv Erland

AU - Hasager,Charlotte Bay

AU - Badger,Merete

AU - Mouche,Alexis

AU - Stoffelen,Ad

AU - Driesenaar,Tilly

AU - Karagali,Ioanna

AU - Bingöl,Ferhat

AU - Pena Diaz,Alfredo

AU - Astrup,Poul

AU - Nielsen,Morten

AU - Hahmann,Andrea N.

AU - Costa,Paulo

AU - Berge,Erik

AU - Bredesen,Rolv Erland

PB - DTU Wind Energy

PY - 2012

Y1 - 2012

N2 - The EU-NORSEWInD project www.norsewind.eu has taken place from August 2008 to July 2012 (4 years). NORSEWInD is short for Northern Seas Wind Index database. In the project ocean surface wind observations from space have been retrieved, processed and analysed. The overall aim of the work is to provide new offshore wind climatology map for the entire area of interest based on satellite remote sensing. This has been based on Synthetic Aperture Radar (SAR) from Envisat ASAR using 9000 scenes re-processed with ECMWF wind direction and CMOD-IFR. The number of overlapping samples range from 450 in the Irish Sea to more than 1200 in most of the Baltic Sea. Wind resource statistics include maps at 2 km spatial resolution of mean wind speed, Weibull A and k, and energy density at 10 m above sea level. Uncertainty estimates on the number of available samples for each of the four parameters are presented. QuikSCAT ocean wind vector observations have been analysed for the same four parameters and ASCAT for mean wind speed. All satellite data has been compared to in-situ observations available in the Norsewind project. SSM/I passive microwave wind speed data from 24 years observed around 6 times per day are used to estimate trends in offshore winds and interestingly a shift in the seasonal pattern is notice. All satellite-based wind products are valid at 10 m, thus it is desirable to lift winds to higher levels for wind energy products. A method has been suggested to lift winds from 10 m to hub-height but more research is needed on this topic. The key wind energy statistical maps based on satellite data in the Norsewind project are publically available at web-sites:<br/>LNEG http://geoportal.lneg.pt//index.php?lg=en&amp;state=Inicio<br/>Norsewind http://www.norsewind.eu/public/index.html<br/>SAR-based results are also available at<br/>SOPRANO http://soprano.cls.fr/ select wind/statistics(L3), Norsewind

AB - The EU-NORSEWInD project www.norsewind.eu has taken place from August 2008 to July 2012 (4 years). NORSEWInD is short for Northern Seas Wind Index database. In the project ocean surface wind observations from space have been retrieved, processed and analysed. The overall aim of the work is to provide new offshore wind climatology map for the entire area of interest based on satellite remote sensing. This has been based on Synthetic Aperture Radar (SAR) from Envisat ASAR using 9000 scenes re-processed with ECMWF wind direction and CMOD-IFR. The number of overlapping samples range from 450 in the Irish Sea to more than 1200 in most of the Baltic Sea. Wind resource statistics include maps at 2 km spatial resolution of mean wind speed, Weibull A and k, and energy density at 10 m above sea level. Uncertainty estimates on the number of available samples for each of the four parameters are presented. QuikSCAT ocean wind vector observations have been analysed for the same four parameters and ASCAT for mean wind speed. All satellite data has been compared to in-situ observations available in the Norsewind project. SSM/I passive microwave wind speed data from 24 years observed around 6 times per day are used to estimate trends in offshore winds and interestingly a shift in the seasonal pattern is notice. All satellite-based wind products are valid at 10 m, thus it is desirable to lift winds to higher levels for wind energy products. A method has been suggested to lift winds from 10 m to hub-height but more research is needed on this topic. The key wind energy statistical maps based on satellite data in the Norsewind project are publically available at web-sites:<br/>LNEG http://geoportal.lneg.pt//index.php?lg=en&amp;state=Inicio<br/>Norsewind http://www.norsewind.eu/public/index.html<br/>SAR-based results are also available at<br/>SOPRANO http://soprano.cls.fr/ select wind/statistics(L3), Norsewind

KW - DTU-Wind-Energy-E-0007(EN)

KW - DTU-Wind-Energy-Report-E-0007

BT - NORSEWInD satellite wind climatology

T3 - DTU Wind Energy E

T3 - en_GB

ER -