Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
Wind Energ. Sci., 2, 211-228, 2017
http://www.wind-energ-sci.net/2/211/2017/
doi:10.5194/wes-2-211-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research articles
04 May 2017
An intercomparison of mesoscale models at simple sites for wind energy applications
Bjarke T. Olsen et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Revision wes-2016-43', Anonymous Referee #1, 31 Dec 2016 Printer-friendly Version 
AC1: 'Comments to anonymous reviewer #1', Bjarke Olsen, 01 Mar 2017 Printer-friendly Version 
 
RC2: 'A model inter-comparison with some issues', Anonymous Referee #2, 23 Jan 2017 Printer-friendly Version 
AC3: 'Comments to anonymous reviewer #2', Bjarke Olsen, 01 Mar 2017 Printer-friendly Version 
 
RC3: 'Mesoscale models intercomparison', Anonymous Referee #3, 26 Jan 2017 Printer-friendly Version 
AC2: 'Comments to anonymous reviewer #3', Bjarke Olsen, 01 Mar 2017 Printer-friendly Version 
 
AC4: 'Final author comments', Bjarke Olsen, 01 Mar 2017 Printer-friendly Version 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (15 Mar 2017) by Julie Lundquist  
AR by Bjarke Olsen on behalf of the Authors (17 Mar 2017)  Author's response  Manuscript
ED: Publish subject to minor revisions (review by editor) (23 Mar 2017) by Julie Lundquist  
AR by Bjarke Olsen on behalf of the Authors (31 Mar 2017)  Author's response  Manuscript
ED: Publish as is (31 Mar 2017) by Julie Lundquist  
ED: Publish as is (31 Mar 2017) by Gerard J.W. van Bussel (Chief Editor)
Publications Copernicus
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Short summary
Understanding uncertainties in wind resource assessment associated with the use of the output from numerical weather prediction (NWP) models is important for wind energy applications. A better understanding of the sources of error reduces risk and lowers costs. Here, an intercomparison of the output from 25 NWP models is presented. The study shows that model errors are larger and agreement between models smaller at inland sites and near the surface.
Understanding uncertainties in wind resource assessment associated with the use of the output...
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