Production of the Finnish Wind Atlas

Wind Energy

Volumn 16, Issue 1, 2013, Pages 19-35

  Tammelin, Bengt ^a   Vihma, Timo ^a   Atlaskin, Evgeny ^a   Badger, Jake ^b   Fortelius, Carl ^a   Gregow, Hilppa ^a   Horttanainen, Matti ^a   Hyvönen, Reijo ^a   Kilpinen, Juha ^a   Latikka, Jenni ^a   Ljungberg, Karoliina ^a   Mortensen, Niels Gylling ^b   Niemelä, Sami ^a   Ruosteenoja, Kimmo ^a   Salonen, Kirsti ^a   Suomi, Irene ^a   Venäläinen, Ari ^a  

^a FINNISH METEOROLOGICAL INSTITUTE   (Finland)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

atmospheric boundary layer; Finland; mesoscale modelling; wind atlas; wind climate; wind resource mapping

Indexed keywords

ATMOSPHERIC BOUNDARY LAYER; WEIBULL DISTRIBUTION; WIND; WIND POWER;

DISTRIBUTION PARAMETERS; FINLAND; HORIZONTAL RESOLUTION; MESOSCALE MODELLING; PARAMETERIZATION METHOD; WIND CLIMATE; WIND POWER PRODUCTION; WIND RESOURCES;

ARSENIC COMPOUNDS;

BOUNDARY LAYER; CLIMATOLOGY; ELECTRICITY GENERATION; MEASUREMENT METHOD; NUMERICAL MODEL; RADAR; RESOLUTION; WEIBULL THEORY; WIND POWER; WIND TURBINE; WIND VELOCITY;

FINLAND;

EID: 84872937939     PISSN: 10954244     EISSN: 10991824     Source Type: Journal    
DOI: 10.1002/we.517     Document Type: Article

References (51)

1. Tammelin B,. Suomen Tuuliatlas-Finnish Wind Atlas (In Finnish with a resumee in English). Finnish Meteorological Institute: Helsinki, 1991; 356.
2. Mortensen NG, Heathfield DN, Rathmann O, Nielsen M,. Wind Atlas Analysis and Application Program: WAsP 10 Help Facility. Risø National Laboratory for Sustainable Energy: Technical University of Denmark, Roskilde, Denmark, 2009; 356 topics.
3. Troen I, Petersen EL,. European Wind Atlas. Risø National Laboratory: Roskilde, 1989; 656.
4. Högström U, Smedman AS,. The wind regime in coastal areas with special reference to results obtained from Swedish Wind Energy Program. Boundary Layer Meteorol 1984; 30: 351-373.
5. Bergström H, Söderberg S,. Wind mapping in Sweden-summary of results and methods used. Elforsk rapport 2008; 09: 04.
6. Costa P, Miranda P, Estanqueiro A,. Development and validation of the Portuguese Wind Atlas. Proceedings of European Wind Energy Conference, Athens, Greece, 2006; 9.
7. Gastrõn M, Pascal E, Frías L, Martí I, Irigoyen U, Cantero E, Loxano S, Loureiro Y,. Wind resources map of Spain at mesoscale. Methodology and validation. Proceedings of European Wind Energy Conference, Brussels, Belgium, 2008; 10.
8. Frank HP, Rathmann O, Mortensen NG, Landberg L,. The numerical wind atlas-the KAMM/WAsP method, Risø-R-1252(EN). 60, 2001. [Online]. Available: http://130.226.56.153/rispubl/VEA/veapdf/ris-r-1252.pdf. (Accessed 5 September 2011)
9. Mortensen NG, Hansen JC, Badger J, Jørgensen BH, Hasager CB, Georgy Youssef L, Said Said U, Abd El-Salam Moussa A, Akmal Mahmoud M, El Sayed Yousef A, Mahmoud Awad A, Abd-El Raheem Ahmed M, Sayed MAM, Hussein Korany M, Abd-El Baky Tarad M,. Wind Atlas for Egypt, Measurements and Modelling 1991-2005. New and Renewable Energy Authority, Egyptian Meteorological Authority and Risø National Laboratory, 2005; 258.
10. Sustainable Energy Ireland. Republic of Ireland-Wind Atlas 2003. Report No. 4Y103A-1-R1. 2003; 52. Available:http://www.seai.ie/uploadedfiles/ RenewableEnergy/IrelandWindAtlas2003.pdf. (Accessed 5 September 2011)
11. Botta G, Casale C, Lembo E, Maran S, Serri L, Stella G, Viani S, Burlando M, Cassola F, Villa L, Ratto CF,. The Italian Wind Atlas-status and progress. Proceedings of European Wind Energy Conference 2007, EWEA, Brussels, Belgium, 2007; 7.
12. Undén P, 26 co-authors. HIRLAM-5 Scientic Documentation. Swedish Meteorological and Hydrological Institute: Norrköping, Sweden, 2002; 144. [Online]. Available: http://hirlam.org/publications/SciDoc-Dec2002.pdf. (Accessed 5 September 2011)
13. Nygaard I, Rasmussen K, Badger J, Nielsen TT, Hansen LB, Stisen S, Larsen S, Mariko A, Togola I,. Using modeling, satellite images and existing global datasets for rapid preliminary assessments of renewable energy resources: the case of Mali. Renewable & Sustainable Energy Reviews 2010; 14: 2359-2371.
14. Sempreviva AM, Larsen SE, Mortensen NG, Troen I,. Response of neutral boundary layers to changes of roughness. Boundary-Layer Meteorology 1990; 50: 205-225.
15. Rao KS, Wyngaard JC, Coté DR,. The structure of the two-dimensional internal boundary layer over a sudden change of surface roughness. Journal of the Atmospheric Sciences 1974; 26: 432-440.
16. Jackson PS, Hunt JCR,. Turbulent wind flow over a low hill. Quarterly Journal of the Royal Meteorological Society 1975; 101: 929-955.
17. Astrup P, Jensen NO, Mikkelsen T,. Surface roughness model for LINCOM, Risø-R-900(EN), 1996; 30. [Online]. Available: http://130.226.56.153/ rispubl/VEA/veapdf/ris-r-900.pdf. (Accessed 5 September 2011)
18. Garcia O,. Simplified method of moments estimation for the Weibull distribution. New Zealand Journal of Forestry Science 1981; 11: 304-306.
19. Brasseur O,. Development and application of a physical approach to estimating wind gusts. Monthly Weather Review 2001; 129: 5-25.
20. Saltikoff E, Huuskonen A, Hohti H, Koistinen J, Järvinen H,. Quality assurance in the FMI Doppler weather radar network. Boreal Environment Research 2010; 15: 579-594.
21. Järvinen H, Salonen K, Lindskog M, Huuskonen A, Niemelä S, Eresmaa R,. Doppler radar radial winds in HIRLAM. Part I: observation modelling and validation. Tellus 2009; 61A: 278-287.
22. Salonen K, Järvinen H, Eresmaa R, Niemelä S,. Bias estimation of Doppler-radar radial-wind observations. Quarterly Journal of the Royal Meteorological Society 2007; 133: 1501-1507.
23. Salonen K, Niemelä S, Fortelius C,. Application of radar wind observations for low level NWP wind forecast validation. Journal of Applied Meteorology and Climatology 2011, DOI: 10.1175/2010JAMC2652.1.
24. Wilks DS,. Statistical methods in the atmospheric sciences. Academic Press: San Diego, USA, 1995; 467.
25. Jolliffe IT, Stephenson DN,. Forecast Verification: A Practitioner's Guide in Atmospheric Sciences, Wiley: Chichester, UK, 2003; 240.
26. Nurmi P,. Recommendations on the verification of local weather forecasts, ECMWF Technical Memorandum 430, Reading, UK. 2003; 19.
27. Kristensen L, Jensen G,. Geostrophic winds in Denmark: a preliminary study, Technical Report No Risø-R-1145, Risø National Laboratory, Roskilde, Denmark, 1999.
28. Mann J, Ott S, Hoffman Jørgensen B, Frank HP,. WasP Engineering, Technical Report No Risø-R-1356, Risø National Laboratory, Roskilde, 2002.
29. Clausen NE, Pryor SC, Guo Larsén X, Hyvönen R, Venäläinen A, Suvilampi E, Kjellström E, Barthelmie R,. Are we facing increasing extreme winds in the future? Proceedings of the European Wind Energy Conference and Exhibition, Marseille, France, 16-19 March, 2009; 10. [Online]. Available:http://orbit.dtu.dk/Home.html. (Accessed 5 September 2011)
30. 2. Climate Dynamics 1996; 12: 467-476.
31. Leckebusch GC, Ulbrich U,. On the relationship between cyclones and extreme windstorm events over Europe under climate change. Global and Planetary Change 2004; 44: 181-193.
32. Bengtsson L, Hodges KI, Rockner E, Storm tracks and climate change. Journal of Climate 2006; 19: 3518-3543.
33. Leckebusch GC, Donat M, Ulbrich U, Pinto JG,. Mid-latitude cyclones and storms in an ensemble of European AOGCMs under ACC. Clivar Exchanges 2008; 13 (3): 3-15.
34. Nakic̈enovic̈ N, 27 co-authors. IPCC Special report on emission scenarios. Cambridge University Press: New York, 2000; 599.
35. Gregow H, Ruosteenoja K, Pimenoff N, Jylhä K,. Changes in the mean and extreme geostrophic wind speeds in Northern Europe until 2100 based on nine global climate models. International Journal of Climatology 2011. in press (JOC-10-0425.R1).
36. Niros A, Vihma T, Launiainen J,. Marine meteorological conditions and air-sea exchange processes over the Baltic Sea in 1990s. Geophysica 2002; 38: 59-87.
37. Vihma T, Haapala J,. Geophysics of sea ice in the Baltic Sea-a review. Progress in Oceanography 2009; 80: 129-148. DOI: 10.1016/j.pocean.2009.02.002.
38. Vihma T,. Subgrid parameterization of surface heat and momentum fluxes over polar oceans. Journal of Geophysical Research 1995; 100: 22,625-22,646.
39. Meier HEM,. Baltic Sea climate in the late twenty-first century: a dynamical downscaling approach using two global models and two emission scenarios. Climate Dynamics 2006; 27: 39-68, DOI: 10.1007/s00382-006-0124-x.
40. Tammelin B, Hyvönen R, Peltomaa A,. The accuracy of wind measurements in hilly regions. In Proceedings of BOREAS III, 19-21 March 1996, Saariselkä, Finland., Tammelin B, et al. (eds), Finnish Meteorological Institute: Helsinki, 1996; 232-244.
41. Tammelin B, Cavaliere M, Holttinen H, Morgan C, Seifert H, Säntti K,. Wind Energy Production in Cold Climate. Meteorological Publications, vol. 41, Finnish Meteorological Institute: Helsinki, 2000.
42. Seity Y, Brousseau P, Malardel S, Hello G, Bénard P, Bouttier F, Lac C, Masson V,. The AROME-France convective scale operational model. Monthly Weather Review 2011; 139: 976-991. DOI: 10.1175/2010MWR3425.1.
43. Bénard P, Vivoda J, Masek J, Smolikova P, Yessad K, Smith C, Brozkova R, Geleyn JF,. Dynamical kernel of the Aladin-NH spectral limited-area model: revised formulation and sensitivity experiments. Quarterly Journal of the Royal Meteorological Society 2010; 136: 155-169.
44. Cuxart J, Bougeault P, Redelsperger JL,. A turbulence scheme allowing for mesoscale and large eddy simulations. Quarterly Journal of the Royal Meteorological Society 2000; 126: 1-30.
45. Bougeault P, Lacarrère P,. Parameterization of orography-induced turbulence in a meso-beta-scale model. Monthly Weather Review 1989; 117: 1872-1890.
46. Le Moigne P,. SURFEX scientific documentation, 2009. [Online]. Available: http://www.cnrm.meteo.fr/surfex/doc-exter/surfex-scidoc.pdf. (Accessed 5 September 2011)
47. Noilhan J, Planton S,. A simple parameterization of land surface processes for meteorological models. Monthly Weather Review 1989; 117: 536-549.
48. Noilhan J, Mahfouf JF,. The ISBA land surface parameterization scheme. Global and Planetary Change 1996; 13: 145-159.
49. Le Moigne P,. SURFEX setup, 2006. [Online]. Available:http://www.cnrm. meteo.fr/surfex/doc-exter/setup.pdf. (Accessed 5 September 2011)
50. Champeaux JL, Masson V, Chauvin R,. Ecoclimap: a global database of land surface parameters at 1 km resolution. Meteorological Applications 2005; 12: 29-32.
51. Charnock H,. Wind stress on a water surface. Quarterly Journal of the Royal Meteorological Society 1955; 81: 639-640.