Table of Contents Author Guidelines Submit a Manuscript
Advances in Meteorology
Volume 2014, Article ID 897246, 11 pages
http://dx.doi.org/10.1155/2014/897246
Research Article

Dynamical Downscaling of Climate Change Impacts on Wind Energy Resources in the Contiguous United States by Using a Limited-Area Model with Scale-Selective Data Assimilation

Department of Marine, Earth and Atmospheric Sciences (MEAS), North Carolina State University (NCSU), Campus Box 8208, Raleigh, NC 27695, USA

Received 18 May 2014; Revised 28 July 2014; Accepted 4 August 2014; Published 22 September 2014

Academic Editor: Adel Hanna

Copyright © 2014 Bin Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. C. L. Archer and M. Z. Jacobson, “Spatial and temporal distributions of U.S. winds and wind power at 80 m derived from measurements,” Journal of Geophysical Research D: Atmospheres, vol. 108, no. 9, pp. 10–20, 2003. View at Google Scholar · View at Scopus
  2. C. L. Archer and M. Z. Jacobson, “Evaluation of global wind power,” Journal of Geophysical Research D: Atmospheres, vol. 110, no. 12, 2005. View at Publisher · View at Google Scholar · View at Scopus
  3. X. Li, S. Zhong, X. Bian, and W. E. Heilman, “Climate and climate variability of the wind power resources in the Great Lakes region of the United States,” Journal of Geophysical Research D: Atmospheres, vol. 115, no. 18, Article ID D18107, 2010. View at Publisher · View at Google Scholar · View at Scopus
  4. S. C. Pryor, R. J. Barthelmie, D. T. Young et al., “Wind speed trends over the contiguous United States,” Journal of Geophysical Research D: Atmospheres, vol. 114, no. 14, Article ID D14105, 2009. View at Publisher · View at Google Scholar · View at Scopus
  5. S. Solomon, D. Qin, M. Manning et al., Climate Change 2007: The Physical Science Basis, Cambridge University Press, New York, NY, USA, 2007.
  6. H. Von Storch, E. Zorita, and U. Cubasch, “Downscaling of global climate change estimates to regional scales: an application to Iberian rainfall in wintertime,” Journal of Climate, vol. 6, no. 6, pp. 1161–1171, 1993. View at Publisher · View at Google Scholar · View at Scopus
  7. R. L. Wilby and T. M. L. Wigley, “Downscaling general circulation model output: a review of methods and limitations,” Progress in Physical Geography, vol. 21, no. 4, pp. 530–548, 1997. View at Google Scholar · View at Scopus
  8. J. Schmidli, C. M. Goodess, C. Frei et al., “Statistical and dynamical downscaling of precipitation: an evaluation and comparison of scenarios for the European Alps,” Journal of Geophysical Research D: Atmospheres, vol. 112, no. 4, Article ID D04105, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. H. C. Davies, “A laterul boundary formulation for multi-level prediction models,” Quarterly Journal of the Royal Meteorological Society, vol. 102, no. 432, pp. 405–418, 1976. View at Google Scholar
  10. H.-M. H. Juang and S.-Y. Hong, “Sensitivity of the NCEP Regional Spectral Model to domain size and nesting strategy,” Monthly Weather Review, vol. 129, no. 12, pp. 2904–2922, 2001. View at Publisher · View at Google Scholar · View at Scopus
  11. K. M. Waldron, J. Paegle, and J. D. Horel, “Sensitivity of a spectrally filtered and nudged limited-area model to outer model options,” Monthly Weather Review, vol. 124, no. 3, pp. 529–547, 1996. View at Publisher · View at Google Scholar · View at Scopus
  12. H. von Storch, H. Langenberg, and F. Feser, “A spectral nudging technique for dynamical downscaling purposes,” Monthly Weather Review, vol. 128, no. 10, pp. 3664–3673, 2000. View at Google Scholar · View at Scopus
  13. S. Peng, L. Xie, B. Liu, and F. Semazzi, “Application of scale-selective data assimilation to regional climate modeling and prediction,” Monthly Weather Review, vol. 138, no. 4, pp. 1307–1318, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. L. Xie, B. Liu, and S. Peng, “Application of scale-selective data assimilation to tropical cyclone track simulation,” Journal of Geophysical Research: Atmospheres, vol. 115, no. D17, 2010. View at Publisher · View at Google Scholar
  15. B. Liu and L. Xie, “A scale-selective data assimilation approach to improving tropical cyclone track and intensity forecasts in a limited-area model: a case study of Hurricane Felix (2007),” Weather and Forecasting, vol. 27, no. 1, pp. 124–140, 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. W. C. Skamarock, J. P. Klemp, J. Dudhia et al., “A Description of the Advanced Research WRF Version 3,” NCAR Technical Note NCAR/TN-475+STR, Boulder, Colorado, Colo, USA, 2008. View at Google Scholar
  17. W. Wang, C. Bruyère, M. Duda et al., WRF Version 3 Modeling System User’s Guide, 2011.
  18. D. M. Barker, W. Huang, Y.-R. Guo, A. J. Bourgeois, and Q. N. Xiao, “A three-dimensional variational data assimilation system for MM5: implementation and initial results,” Monthly Weather Review, vol. 132, no. 4, pp. 897–914, 2004. View at Google Scholar
  19. S.-Y. Hong, J. Dudhia, and S.-H. Chen, “A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation,” Monthly Weather Review, vol. 132, no. 1, pp. 103–120, 2004. View at Publisher · View at Google Scholar · View at Scopus
  20. J. S. Kain and J. M. Fritsch, “A one-dimensional entraining/detraining plume model and its application in convective parameterization,” Journal of the Atmospheric Sciences, vol. 47, no. 23, pp. 2784–2802, 1990. View at Publisher · View at Google Scholar · View at Scopus
  21. S.-Y. Hong, Y. Noh, and J. Dudhia, “A new vertical diffusion package with an explicit treatment of entrainment processes,” Monthly Weather Review, vol. 134, no. 9, pp. 2318–2341, 2006. View at Publisher · View at Google Scholar · View at Scopus
  22. F. Chen and J. Dudhia, “Coupling an advanced land surface-hydrology model with the Penn State–NCAR MM5 modeling system. Part I: model implementation and sensitivity,” Monthly Weather Review, vol. 129, no. 4, pp. 587–604, 2001. View at Google Scholar
  23. W. D. Collins, “Description of the NCAR community atmosphere model (CAM 3.0),” NCAR Technical Note NCAR/TN–464+STR, NCAR, Boulder, Colo, USA, 2004. View at Google Scholar