Wind climate estimation using WRF model output: Method and model sensitivities over the sea

International Journal of Climatology

Volumn 35, Issue 12, 2015, Pages 3422-3439

  Hahmann, Andrea N ^a   Vincent, Claire L ^a   Peña, Alfredo ^a   Lange, Julia ^a   Hasager, Charlotte B ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Offshore wind; Wind climate; Wind power resources; Wind shear; WRF, North and Baltic Seas

Indexed keywords

BOUNDARY LAYERS; CLIMATOLOGY; OCEANOGRAPHY; OFFSHORE OIL WELL PRODUCTION; OPTICAL RADAR; SURFACE WATERS; WIND; WIND POWER;

BALTIC SEA; OFFSHORE WINDS; WIND CLIMATE; WIND POWER RESOURCES; WIND SHEARS;

CLIMATE MODELS;

BOUNDARY LAYER; CLIMATE MODELING; CLIMATOLOGY; ESTIMATION METHOD; LIDAR; OFFSHORE STRUCTURE; SEA SURFACE TEMPERATURE; WEATHER FORECASTING; WIND FARM; WIND FIELD; WIND POWER; WIND SHEAR; WIND VELOCITY;

EID: 84943454991     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.4217     Document Type: Article

References (52)

1. Badger M, Badger J, Nielsen M, Hasager CB, Peña A. 2010. Wind class sampling of satellite SAR imagery for offshore wind resource mapping. J. Appl. Meteorol. Clim. 490(12): 2474-2491, doi: 10.1175/2010JAMC2523.1.
2. Badger M, Peña A, Bredesen RE, Berge E, Hahmann AN, Badger J, Karagali I, Hasager CB, Mikkelsen T. 2012. Bringing satellite winds to hub-height. In Proceedings of EWEA 2012-European Wind Energy Conference & Exhibition, Copenhagen.
3. Badger J, Frank HP, Giebel G, Hahmann AN. 2014. Wind climate estimation based on mesoscale and microscale modelling: statistical-dynamical downscaling for wind energy applications. J. Appl. Meteorol. Clim. 53: 1901-1919, doi: 10.1175/JAMC-D-13-0147.1.
4. Barstad I, Sorteberg A, Flatoy F, Deque M. 2009. Precipitation, temperature and wind in Norway: dynamical downscaling of ERA40. Clim. Dyn. 330(6): 769-776, doi: 10.1007/s00382-008-0476-5.
5. Dee DP, Uppala SM, Simmons AJ, Berrisford P, Poli P, Kobayashi S, Andrae U, Balmaseda MA, Balsamo G, Bauer P, Bechtold P, Beljaars ACM, van de Berg L, Bidlot J, Bormann N, Delsol C, Dragani R, Fuentes M, Geer AJ, Haimberger L, Healy SB, Hersbach H, Holm EV, Isaksen L, Kallberg P, Koehler M, Matricardi M, McNally AP, Monge-Sanz BM, Morcrette JJ, Park BK, Peubey C, de Rosnay P, Tavolato C, Thepaut JN, Vitart F. 2011. The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc. 1370(656): 553-597, doi: 10.1002/qj.828.
6. Dellwik E, Arnqvist J, Bergström H, Mohr M, Söderberg S, Hahmann AN. 2014. Meso-scale modeling of a forested landscape. J. Phys. Conf. Ser. 5240(1): 012121, doi: 10.1088/1742-6596/524/1/012121.
7. Draxl C, Hahmann AN, Peña A, Giebel G. 2014. Evaluating winds and vertical wind shear from WRF model forecasts using seven PBL schemes. Wind Energy 14: 39-55, doi: 10.1002/we.1555.
8. Ebuchi N, Graber HC, Caruso MJ. 2002. Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data. J. Atmos. Oceanic Technol. 19: 2049-2062.
9. ECMWF. 2006. IFS documentation CY31r1. Technical report, European Centre Medium Range Forecast, Reading, UK.
10. Gemmill W, Katz B, Li X. 2007. Daily real-time global sea surface temperature-high resolution analysis at NOAA/NCEP. NOAA/NWS/NCEP/MMAB Office note nr. 260, 39pp
11. Giorgi F, Mearns LO. 1999. Introduction to special section-regional climate modeling revisited. J. Geophys. Res. Atmos. 1040(98): 6335-6352.
12. Hahmann AN, Rostkier-Edelstein D, Warner TT, Vandenberghe F, Liu Y, Babarsky R, Swerdlin SP. 2010. A reanalysis system for the generation of mesoscale climatographies. J. Appl. Meteorol. Clim. 490(5): 954-972, doi: 10.1175/2009JAMC2351.1.
13. Hahmann AN, Lennard C, Argent B, Badger J, Vincent CL, Kelly MC, Volker PJH, Refslund J. 2014. Mesoscale modeling for the wind atlas for South Africa (WASA) Project. Technical Report, DTU Wind Energy, Roskilde, Denmark
14. Hasager CB, Frank HP, Furevik BR. 2002. On offshore wind energy mapping using satellite SAR. Can. J. Remote Sens. 280(1): 80-89.
15. Hong S-Y, Noh Y, Dudhia J. 2006. A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Weather Rev. 134: 2318-2341.
16. Horvath K, Bajic A, Ivatek-Sahdan S. 2011. Dynamical downscaling of wind speed in complex terrain prone to bora-type flows. J. Appl. Meteorol. Clim. 500(8): 1676-1691, doi: 10.1175/2011JAMC2638.1.
17. Horvath K, Koracin D, Vellore R, Jiang J, Belu R. 2012. Sub-kilometer dynamical downscaling of near-surface winds in complex terrain using WRF and MM5 mesoscale models. J. Geophys. Res. 117: D11111, doi: 10.1029/2012JD017432.
18. Hu X-M, Nielsen-Gammon JW, Zhang F. 2010. Evaluation of three planetary boundary layer schemes in the WRF model. J. Appl. Meteorol. Clim. 490(9): 1831-1844.
19. Karagali I, Badger M, Hahmann AN, Peña A, Hasager CB, Sempreviva AM. 2013. Spatial and temporal variability of winds in the Northern European Seas. Renew. Energy 57: 200-210.
20. Karagali I, Peña A, Badger M, Hasager CB. 2014. Wind characteristics in the North and Baltic Seas from the QuikSCAT satellite. Wind Energy 17: 123-140, doi: 10.1002/we.1565.
21. Liléo S, Berge E, Undheim O, Klinkert R, Bredesen RE. 2013. Long-term correction of wind measurements: state-of-the-art, guidelines and future work. Elforsk report 13:18, Kjeller Vindteknikk, Kjeller, Norway
22. Litong-Palima M, Cutululis NA, Bjerge M, Sørensen P. 2013. Impact of offshore wind turbine controls on Danish power system 2020 in critical weather situations. In EWEA Annual Meeting, Vienna.
23. Liu P, Tsimpidi AP, Hu Y, Stone B, Russell AG, Nenes A. 2012. Differences between downscaling with spectral and grid nudging using WRF. Atmos. Chem. Phys. 120(8): 3601-3610, doi: 10.5194/acp-12-3601-2012.
24. Mellor GL, Yamada T. 1982. Development of a turbulence closure model for geophysical fluid problems. Rev. Geophys. Space Phys. 20: 851-875.
25. Miguez-Macho G, Stenchikov GL, Robock A. 2004. Spectral nudging to eliminate the effects of domain position and geometry in regional climate model simulations. J. Geophys. Res. 1090(D13): D13104, doi: 10.1029/2003JD004495.
26. Miguez-Macho G, Stenchikov GL, Robock A. 2005. Regional climate simulations over North America: interaction of local processes with improved large-scale flow. J. Clim. 180(8): 1227-1246, doi: 10.1175/JCLI3369.1.
27. Muñoz-Esparza D, Cañadillas B, Neumann T, van Beeck J. 2012. Turbulent fluxes, stability and shear in the offshore environment: mesoscale modelling and field observations at FINO1. J. Renew. Sustain. Energy 40(6): 063136, doi: 10.1063/1.4769201.
28. Nawri N, Petersen GN, Bjornsson H, Hahmann AN, Jónasson K, Hasager CB, Clausen N-E. 2014. The wind energy potential of Iceland. Renew. Energy 69: 290-299, doi: 10.1016/j.renene.2014.03.040.
29. Peña A, Hahmann AN. 2012. Atmospheric stability and turbulence fluxes at Horns Rev - an intercomparison of sonic, bulk and WRF model data. Wind Energy, 15: 717-731, doi: 10.1002/we.500.
30. Peña A, Rathmann O. 2014. Atmospheric stability-dependent infinite wind-farm models and the wake-decay coefficient. Wind Energy 170(8): 1269-1285, doi: 10.1002/we.1632.
31. Peña A, Mikkelsen T, Gryning S-E, Hasager CB, Hahmann AN, Badger M, Karagali I, Courtney M. 2012. Offshore Vertical Wind Shear: Final Report on NORSEWInD's Work Task 3.1. DTU Wind Energy: Roskilde, Denmark.
32. Peña A, Floors R, Gryning S-E. 2013. The Hø vsø re tall wind-profile experiment: a description of wind profile observations in the atmospheric boundary layer. Bound.-Layer Meteorol. 150: 69-89, doi: 10.1007/s10546-013-9856-4.
33. Pinard JDJP, Benoit R, Yu W. 2005. A WEST wind climate simulation of the mountainous Yukon. Atmos.-Ocean 430(3): 259-282, doi: 10.3137/ao.430306.
34. Rife DL, Davis CA, Liu Y, Warner TT. 2004. Predictability of low-level winds by mesoscale meteorological models. Mon. Weather Rev. 132: 2553-2569.
35. Saha S, Moorthi S, Pan H-L, Wu X, Wang J, Nadiga S, Tripp P, Kistler R, Woollen J, Behringer D, Liu H, Stokes DC, Grumbine R, Gayno G, Wang J, Hou Y-T, Chuang H-Y, Juang H-MH, Sela J, Iredell M, Treadon R, Kleist D, Van Delst P, Keyser D, Derber J, Ek M, Meng J, Wei H, Yang R, Lord S, Van den Dool H, Kumar A, Wang W, Long C, Chelliah M, Xue Y, Huang B, Schemm J-K, Ebisuzaki W, Lin R, Xie P, Chen M, Zhou S, Higgins W, Zou C-Z, Liu Q, Chen Y, Han Y, Cucurull L, Reynolds RW, Rutledge G, Goldberg M. 2010. The NCEP climate forecast system reanalysis. Bull. Am. Meteorol. Soc. 910(8): 1015-1057, doi: 10.1175/2010BAMS3001.1.
36. Saha S, Moorthi S, Xingren W, Wang J, Nadiga S, Tripp P, Behringer D, Hou Y-T, Chuang H-Y, Iredell M, Ek M, Meng J, Yang R, Mendez M, Van den Dool H, Zhang Q, Wang W, Chen M, Becker E. 2014. The NCEP climate forecast system version 2. J. Clim. 27: 2185-2208, doi: 10.1175/JCLI-D-12-00823.1.
37. Santos-Alamillos FJ, Pozo-Vazquez D, Ruiz-Arias JA, Lara-Fanego V, Tovar-Pescador J. 2013. Analysis of WRF model wind estimate sensitivity to physical parameterization choice and terrain representation in Andalusia (Southern Spain). J. Appl. Meteorol. Clim. 52: 1592-1609, doi: 10.1175/JAMC-D-12-0204.1.
38. Sempreviva AM, Barthelmie RJ, Pryor SC. 2008. Review of methodologies for offshore wind resource assessment in European seas. Surv. Geophys. 29: 471-497.
39. Shin HH, Hong S-Y. 2011. Intercomparison of planetary boundary-layer parametrizations in the WRF model for a single day from CASES-99. Bound.-Layer Meteorol. 139: 1-21, doi: 10.1007/s10546-010-9583-z.
40. Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Duda MG, Huang X-Y, Wang W, Powers JG. 2008. A description of the advanced research WRF Version 3. Technical Report NCAR/TN-475+STR, National Center for Atmospheric Research, Boulder, CO.
41. Skjoldan PF, Hansen MH. 2013. Effects of extreme wind shear on aeroelastic modal damping of wind turbines. Wind Energy 160(3): 401-415, doi: 10.1002/we.1495.
42. Stull RB. 1988. An Introduction to Boundary Layer Meteorology. Atmospheric and Oceanographic Sciences Library, Vol. 13. Springer: Dordrecht, The Netherlands.
43. Tammelin B, Vihma T, Atlaskin E, Badger J, Fortelius C, Gregow H, Horttanainen M, Hyvönen R, Kilpinen J, Latikka J, Ljungberg K, Mortensen NG, Niemelä S, Ruosteenoja K, Salonen K, Suomi I, Venäläinen A. 2013. Production of the Finnish wind atlas. Wind Energy 16: 19-35, doi: 10.1002/we.517.
44. Taylor M, Freedman J, Waight K, Brower M. 2009. Using simulated wind data from a mesoscale model in MCP. Technical Report, AWS Truewind, Albany, NY.
45. Troen I, Petersen EL. 1989. European Wind Atlas. Risø National Laboratory: Roskilde, Denmark.
46. Tuller SE, Brett AC. 1984. The characteristics of wind velocity that favor the fitting of a Weibull distribution in wind-speed analysis. J. Appl. Meteorol. Clim. 230(1): 124-134, doi: 10.1175/1520-0450(1984)0232.0.CO.
47. Vincent CL, Larsén XG, Larsen SE, Sørensen P. 2012. Cross-spectra over the sea from observations and mesoscale modelling. Bound.-Layer Meteorol. 1460(2): 297-318, doi: 10.1007/s10546-012-9754-1.
48. Wagner R, Antoniou I, Pedersen SM, Courtney MS, Jørgensen HE. 2009. The influence of the wind speed profile on wind turbine performance measurements. Wind Energy 120(4): 348-362, doi: 10.1002/we.297.
49. Waldron KM, Paegle J, Horel JD. 1996. Sensitivity of a spectrally filtered and nudged limited-area model to outer model options. Mon. Weather Rev. 124: 529-547.
50. Warner TT. 2011a. Quality assurance in atmospheric modeling. Bull. Am. Meteorol. Soc. 920(12): 1601-1610, doi: 10.1175/BAMS-D-10-00054.1.
51. Warner TT. 2011b. Numerical Weather and Climate Prediction. Cambridge University Press: Cambridge, UK.
52. Warner TT, Peterson RA, Treadon RE. 1997. A tutorial on lateral boundary conditions as a basic and potentially serious limitation to regional numerical weather prediction. Bull. Am. Meteorol. Soc. 780(11): 2599-2617, doi: 10.1175/1520-0477(1997)078<2599:ATOLBC>2.0.CO;2.