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Sensitivity Experiments of Vertical Resolution and Planetary Boundary Layer Parameterization Schemes on the Seoul Metropolitan Area using WRF Model
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 Title & Authors
Sensitivity Experiments of Vertical Resolution and Planetary Boundary Layer Parameterization Schemes on the Seoul Metropolitan Area using WRF Model
Lim, A-Young; Roh, Joon-Woo; Jee, Joon-Bum; Choi, Young-Jean;
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 Abstract
The effects of vertical resolutions and planetary boundary layer (PBL) physics schemes in a numerical simulation with a very high resolution over the metropolitan area were investigated. The numerical experiments using the Weather Research and Forecast model were conducted from 0000 UTC 25 October to 0000 UTC 26 October 2013. We verified the numerical results against with six hourly observation data from the radiosonde at Seolleung, which was located in southern part of Seoul, and forty three auto weather systems in Seoul. In the experiments of vertical resolutions in low level atmosphere with 44, 50, and 60 layers, which are set to be subdivided particularly under 2 km height. The experiment in 60 layers, which has the highest vertical resolution in this study, showed relatively a clear diurnal variation of PBL heights. Especially, the difference of PBL heights and 10-meter wind fields were mainly seen in the area of high altitude lands for the experiments of vertical resolution. In the sensitivity experiment of PBL schemes such as asymmetric convective model-version 2 (ACM2), Yonsei University (YSU), and Mellow-Yamada-Janjic (MYJ) to the temperature, all three PBL schemes revealed lower temperature than observed profile from the radiosonde in the entire period. The experiments with YSU PBL and ACM2 PBL schemes show relatively less biased in comparison with the experiment of the MYJ PBL scheme.
 Keywords
planetary boundary layer;radiosonde;vertical resolution;parameterization;
 Language
Korean
 Cited by
 References
1.
Arasa, R., Soler, M.R., and Olid, M., 2012, Numerical experiments to determine MM5/WRF-CMAQ sensitivity to various PBL and land-surface schemes in northeastern Spain: application to a case study in summer 2009, International Journal of Environment and Pollution, 48, 105-116. crossref(new window)

2.
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) crossref(new window)

3.
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, 633-633. (in Korean) crossref(new window)

4.
Duhdia, J., 1989, Numerical study of convection observed during the winter monsoon experiment using a mesoscale two dimensional mode. Journal of Atmospheric Sciences, 46, 3077-3107. crossref(new window)

5.
Hong, S.Y., Noh, Y., and Dudhia, J. 2006, A new vertical diffusion package with an explicit treatment of entrainment processes. Monthly Weather Review, 134, 2318-2341. crossref(new window)

6.
Hu X.-M., Nielsen-Gammon, J.W., and Zhang, F., 2010, Evaluation of Three Planetary Boundary Layer Schemes in the WRF Model. Journal of Applied Meteorology and Climatology, 49, 1831-1844. crossref(new window)

7.
Janjic, Z.I., 1994: The Step-Mountain Eta Coordinate Model: Further developments of the convection, viscous sublayer, and turbulence closure schemes. Monthly Weather Review, 122, 927-945. crossref(new window)

8.
Kain, J.S., 2004: The Kain-Fritsch convective parameterization: An update. Journal of Applied Meteorology, 43, 170-181. crossref(new window)

9.
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, 46-56. (in Korean) crossref(new window)

10.
Lin, Y.L., Farley, R.D., and Orville, H.D., 1983, Bulk Parameterization of the Snow Field in a Cloud Model. Journal of Climate and Applied Meteorology, 22, 1065-1092. crossref(new window)

11.
Menut, L., Bessagnet, B., Colette, A., and Khvorostiyanov, D., 2013, On the impact of the vertical resolution on chemistry-transport modeling. Atmospheric Environment, 67, 370-284. crossref(new window)

12.
Mlawer, E.J., Taubman, S.J., Vrown, P.D., Iacono, M.J., and Clough, S.A., 1997, Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. Journal of Geophysical Research, 102D, 16 663-16 682.

13.
Moon, N.K., Kim, S.T., and Seo, J.H., 2011, Sensibility study for PBL scheme of WRF-CMAQ. Journal of Korean Society for Atmospheric Environment, 27, 791-804. (in Korean) crossref(new window)

14.
Park, S.H., Jee, J.B., and Lee, C.Y., 2015, Sensitivity Test of the Numerical Simulation with High Resolution Topography and Landuse over Seoul Metropolitan and Surrounding Areas. Atmosphere Korean Meteorological Society, 25, 309-322. (in Korean)

15.
Pleim, J.E. and Xiu, A. 2003, Development of a land surface model. Part II: Data assimilation. Journal of Applied Meteorology, 42, 1811-1822. crossref(new window)

16.
Pleim, J.E., 2007, A Combined Local and Nonlocal Closure Model for the Atmospheric Boundary Layer. Part I: Model Description and Testing. Journal of Applied Meteorology and Climatology, 46, 1383-1395. crossref(new window)

17.
Pleim, J.E., 2007, A Combined Local and Nonlocal Closure Model for the Atmospheric Boundary Layer. Part II: Application and evaluation in a mesoscale meteorological model. Journal of Applied Meteorology and Climatology, 46, 1396-1409. crossref(new window)

18.
Pleim, J.E., 2006, A simple, efficient solution of fluxprofile relationships in the atmospheric surface layer. Journal of Applied Meteorology and Climatology, 45, 341-347. crossref(new window)

19.
Seaman, N.L., 2000, Meteorological modeling for airquality assessment. Atmospheric Environment, 34, 2231-2259. crossref(new window)

20.
Seo, B.G., Byon, J.Y., and Choi, Y.J., 2010, Sensitivity Evaluation of wind fields in surface layer by WRF-PBL and LSM parameterizations. Atmosphere Korean Meteorological Society, 20, 319-332. (in Korean)

21.
Stull, R.B., 1988, An introduction to boundary layer meteorology. 13, Springer Science & Business Media, 2-4 p.

22.
U.S. EPA, 2007, Guidance on the use of models and other analysis for demonstrating attainment of air quality goals for ozone, PM2.5, and regional haze. Tech Rep., EPA-454/B-07-002, Research Triangle Park, NC, 152-153 p.

23.
Yu, S., Mathur, R., Sarwar, G., Kang, D., Tong, D., Poulot, G., and Pleim, J., 2010, Eta-CMAQ air quality forecasts for O3 and related species using three different photochemical mechanisms (CB4, CB05, SAPRC-99): comparisons with measurements during the 2004 ICARTT study. Atmospheric Chemistry Physics, 10, 3001-3025. crossref(new window)

24.
Yerramilli A., Challa, V.S., Dodla, V.B.R., Myles, L., Pendergrass, W.R., Vogel, C.A., Tuluri, F., Baham, J.M., Hughes, R., Patrick, C., Young, J., and Swanier, S., 2012, Simulation of surface ozone pollution in the Central Gulf Coast region during summer synoptic condition using WRF/Chem air quality model. Atmospheric Pollution Research, 3, 55-71. crossref(new window)

25.
Zhang, D.L. and Zheng, W.Z. 2004, Diurnal Cycles of Surface Winds and Temperatures as Simulated by Five Boundary Layer Parameterization. Journal of Applied Meteorology, 43, 157-169. crossref(new window)