Evaluation of Surface Wind Forecast over the Gangwon Province using the Mesoscale WRF Model |
Seo, Beom-Keun
(Applied Meteorological Research Division, National Institute of Meteorological Research)
Byon, Jae-Young (Global Environment System Research Division, National Institute of Meteorological Research) Lim, Yoon-Jin (Applied Meteorological Research Division, National Institute of Meteorological Research) Choi, Byoung-Choel (Forecast Research Division, National Institute of Meteorological Research) |
1 | Mellor, G.L., and Yamada, T., 1974, A hierarchy of turbulence closure models for planetary boundary layers. Journal of Atmospheric Science, 31, 1791-1806. DOI |
2 | Moeng, C.-H., Dudhia, J., and Sullvian P. 2007, Examining two-way grid nesting for large eddy simulation of the PBL using the WRF model. Monthly Weather Review, 135, 2295-2311. DOI ScienceOn |
3 | Seo, B.-K., Byon, J.-Y., Choi, Y.-J., 2010, Sensitivity evaluation of wind fields in surface layer by WRF-PBL and LSM parameterizations. Atmosphere, 20(3), 219-332. (in Korean) |
4 | Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M., Duda, M.G., Huang, X.-Y., Wang, W., Powers, J.G., 2008, A description of the advanced research WRF version 3. NCAR/TN-475+STR, National Center for Atmospheric Research, Bounder, CO, USA, 113 p. |
5 | Smirnova, T.G., Brown, J.M., Benjamin, S.G., and Kim, D.S., 2000, Parameterization of cold-season processes in the MAPS land-surface scheme. Journal of Geophysical Research, 105(D03), 4077-4086, doi:10.1029/1999JD901047. DOI |
6 | Talbot, C., Bouzeld, E. and Smith, J., Nested mesoscale large-eddy simulation with WRF: performance in real test cases. Journal of Hydrometeorology, 13, 1421-1441. |
7 | Wang, W., Bruyere, C., Duda, M., Dudhia, J., Gill, D., Lin, H.C. Michalakes, J., Rizvi, S. and Zhang X., 2010, Weather research & WRF ARW version 3 modeling system user's guide. National Center for Atmospheric Research, Boulder, CO, USA, 350 p. |
8 | Yang, Q., Berg, L.K., Pekour, M., Fast J.D., and Newsom R.K., 2013, Evaluation of WRF-predicted near-hubheight winds and ramp events over a pacific northwest site with complex terrain. American Meteorological Society, 52, 1753-1763. |
9 | Yim, S.H.L., Fung, J.C.H., Lau, A.K.H., and Kot, S.C., 2007, Developing a high-resolution wind map for a complex terrain with a coupled MM5/CALMET system. Journal of Geophysical Research. 112, D05106, doi:10.1029/2006JD007752. DOI |
10 | Yin, X., 2000, Surface wind speed over land: A global view. Journal of Applied Meteorology, 39, 1861-1865. DOI |
11 | Chou, M.-D., and Suarez, M.J., 1994, An efficient thermal infrared radiation parameterization for use in general circulation model. National Aeronautics Space Administration Technical Memo.104606, 3, Greenbelt, MD, USA, 85 p. |
12 | Bykjedal, O., and Berge, E., 2009, The use of WRF for wind resource mapping in Norway. 9th WRF user's workshop, National center for atmospheric research, Boulder, CO, USA, 9-18. |
13 | Byon, J.-Y., Choi, Y.-J., and Seo, B.-K., 2009, Numerical simulation of local circulation over the Deachung lake area by using the mesoscale model. Journal of Korean Earth Science Society, 30(4), 464-477. (in Korean) DOI |
14 | Byon, J.-Y., Kang, M.-S., and, Jung, H.-S., 2013, Evaluation of wind turbine efficiency of Haengwon wind farm in Jeju island based on Korean wind map. Journal of Korean Earth Science Society, 34(7), 633-633. (in Korean) DOI |
15 | Cultler, N., and Kay, M., 2007, Detecting, categorizing and forecasting large ramps in wind farm power output using meteorological observations and WPPT. Wind Energy, 10, 453-470. DOI |
16 | Halpern D., Hollingsworth, A., and Wentz, F., 1994, ECMWF and SSM/I global surface wind speed. Journal of Atmospheric and Oceanic Technology, 11, 779-788. DOI |
17 | Ferreira, C., Game, J., Matias, L., Botterud, A., Wang, J., 2010, A survey on wind power ramp forecasting. Report ANL/DIS-10-13. Argonne National Laboratory, Chicago, IL, USA, 40 p. |
18 | Janjic Z.I. 2002, Nonsingular implementation of Mellor-Yamada Level 2.5 scheme in the NCEP meso model. National Centers for Environment Prediction Office Note, 437, Greenbelt, MD, USA, 61 p. |
19 | Iacono, M.J., Delamere, J.S., Mlawer, E.J., Shephard, M.W., Clough, S.A., and Collins, W.D., 2008, Radiative forcing by long-lived greenhouse gases: Calculations with the AER radiative transfer models. Journal of Geophysical Research, 113, D13103, doi:10.1029/2008JD009944. DOI |
20 | IEA, 2013, Tracking clean energy progress 2013, Paris, France, 154p. |
21 | Kain, J.S., 2004, The Kain-fritsch convective parameterization an update. Journal of Applied Meteorology, 43, 17-181. DOI |
22 | Kim, H.J., and Noh Y., 1999, Simulation of convective boundary layer using a new large eddy simulation model with the analysis on the effects of subgrid parameterization. Journal of Korean Meteorological Society, 35(4), 587-598. (in Korean) |
23 | Lee, S.-H., 2011, A Numerical study on the characteristics of high resolution wind resource in mountainous areas using computational fluid dynamic analysis. Journal of Korean Earth Science Society, 32(1), 46-56. (in Korean) DOI |
24 | Lim, K.-S.S., and Hong, S.-Y., 2010, Development of effective double-moment cloud microphysics scheme with prognostic cloud condensation nuclei (CCN) for weather and climate models. Monthly Weather Review, 138, 1587-1612. DOI |
25 | Liu, Y., Warner, T., Liu Y., Vincent C., Wu, Wanli, Mahoney, b., Swerdlin, S., Parks, K., and Boehnert, J., 2011, Simultaneous nested modeling from the synoptic scale to the LES scale for wind energy applications. Journal of Wind Engineering and Industrial Aerodynamics, 99, 308-319. DOI |