JOURNAL BROWSE
Search
Advanced SearchSearch Tips
The Sensitivity Analyses of Initial Condition and Data Assimilation for a Fog Event using the Mesoscale Meteorological Model
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
The Sensitivity Analyses of Initial Condition and Data Assimilation for a Fog Event using the Mesoscale Meteorological Model
Kang, Misun; Lim, Yun-Kyu; Cho, Changbum; Kim, Kyu Rang; Park, Jun Sang; Kim, Baek-Jo;
  PDF(new window)
 Abstract
The accurate simulation of micro-scale weather phenomena such as fog using the mesoscale meteorological models is a very complex task. Especially, the uncertainty arisen from initial input data of the numerical models has a decisive effect on the accuracy of numerical models. The data assimilation is required to reduce the uncertainty of initial input data. In this study, the limitation of the mesoscale meteorological model was verified by WRF (Weather Research and Forecasting) model for a summer fog event around the Nakdong river in Korea. The sensitivity analyses of simulation accuracy from the numerical model were conducted using two different initial and boundary conditions: KLAPS (Korea Local Analysis and Prediction System) and LDAPS (Local Data Assimilation and Prediction System) data. In addition, the improvement of numerical model performance by FDDA (Four-Dimensional Data Assimilation) using the observational data from AWS (Automatic Weather System) was investigated. The result of sensitivity analysis showed that the accuracy of simulated air temperature, dew point temperature, and relative humidity with LDAPS data was higher than those of KLAPS, but the accuracy of the wind speed of LDAPS was lower than that of KLAPS. Significant difference was found in case of relative humidity where RMSE (Root Mean Square Error) for LDAPS and KLAPS was 15.7 and 35.6%, respectively. The RMSE for air temperature, wind speed, and relative humidity was improved by approximately , , and 2.2%, respectively after incorporating the FDDA.
 Keywords
mesoscale model;data assimilation;fog;initial and boundary condition;sensitivity;
 Language
Korean
 Cited by
 References
1.
Ahn, J.-B., Nam, J.-C., Seo, J.-W., and Lee, H.-J., 2002, Development of sea fog forecasting module and its application to Ulung-island sea fog events. Asia-Pacific Journal of Atmospheric Sciences, 38(2), 155-164. (in Korean)

2.
Byon, J.-Y., Choi, Y.-J., and Seo, B.-K., 2009, Numerical simulation of local circulation over the Daechung lake area by using the mesoscale model. Journal Korean Earth Science Society, 30(4), 464-477. (in Korean) crossref(new window)

3.
Catalano, F. and Moeng, C.-H., 2010, Large-eddy simulation of the daytime boundary layer in an idealized valley using the weather research and forecasting numerical model. Boundary-Layer Meteorology, 137(1), 49-75. crossref(new window)

4.
Chen, F. and Dudhia, J., 2001, Coupling an advanced land surface/hydrology model with the penn State/NCAR MM5 modeling system. Part I: Model implementation and sensitivity. Monthly Weather Review, 129(4), 569-585. crossref(new window)

5.
Choi, W., Lee, J. G., and Kim, Y.-J., 2012, Sensitivities of WRF Simulations to the resolution of analysis data and to application of 3DVAR: A case study. Atmosphere, 22(4), 387-400.

6.
Chou, M.-D. and Suarez, M. J., 1994: An efficient thermal infrared radiation parameterization for use in general circulation models. NASA Tech. Memo, 104606(3), 85pp.

7.
Hirschberg, P. A., Shafran, P. C., Elsberry, R. L., and Ritchie, E. A., 2001, An observing system experiment with the west coast picket fence. Monthly Weaher Review, 129(10), 2585-2599. crossref(new window)

8.
Hong, S.-G., 1982, Increase of the Fogs in Andong due to the Construction of Andong Reservoir. Asia-Pacific Journal of Atmospheric Sciences, 18(2), 26-32. (in Korean)

9.
Hong, S.-Y. and Pan, H.-L., 1996, Nonlocal boundary later vertical diffusion in a medium-range forecast model. Monthly Weather Review, 124, 2322-2339. crossref(new window)

10.
Jeon, B.-I., Kim, I.-G., and Lee, Y.-M., 2002, A change of local meteorological environment according to dam construction of Nakdong-river-1. Meteorological data analysis before and after dam construction. Journal of the Environmental Sciences, 11(3), 161-168. (in Korean) crossref(new window)

11.
Lee, C.-B., 1981, Changes of fog days and cloud amount by artificial lakes in Chuncheon. Asia-Pacific Journal of Atmospheric Sciences, 17(1), 18-26. (in Korean)

12.
Lee, C.B., Bong, J.-H., and Cho, H.-M., 1990, Aspects of local climatic change due to dam construction. Journal of Atmospheric Research, 7(1), 75-81. (in Korean)

13.
Lee, D.-G., Lee, M.-H., Lee, Y.-M., Yoo, C., Hong, S.-C., Jang, K.-W., and Hong, J.-H., 2013, An impact of meteorological initial field and data assimilation on CMAQ ozone prediction in the Seoul metropolitan area during June, 2007. Journal of Environmental Impact Assessment, 22(6), 609-626. (in Korean) crossref(new window)

14.
Lee, S.-H., Ryu, C.-S., and Kim, H.-S., 2004, Numerical study on surface data assimilation process for regional weather forecasting, Proceedings of fall meeting. Korean Earth Science Society, Seoul, Korea, 123-131. (in Korean)

15.
Lee, H.-W., Choi, H.-J., and Lee, K.-Y., 2005, The Effect of the Detailed Bottom Boundary Condition and Numerical Interpolation on the Simulation of the Air Flow Field with Complex Topography. Asia-Pacific Journal of Atmospheric Sciences, 41(1), 73-87. (in Korean)

16.
Lorenz, E.N., 1963, Deterministic nonperiodic flow. Journal of Atmospheric Science, 20(2), 130-141. crossref(new window)

17.
Mllawer, E.J., Taubman, S. J., Brown, P. D., Iacono, M. J., and clough, S.A., 1997, Radiative transfer for inhomogeneous atmospheres: RRTM, a validated seerelated-k model for the longwave. Journal of Geophysical Research, 102 (D14), 16663-16682. crossref(new window)

18.
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. crossref(new window)

19.
Nam, J.-C., Shin, M.-Y., and Yun, J.-I., 1995, Discrimination of fog events around artificial lakes in Andong based on hourly meteorological data. Asia-Pacific Journal of Atmospheric Sciences, 31(4), 393-398. (in Korean)

20.
Oke, T.R., 1987 Boundary Layer Climate. London and New York, Methuen, 240-241.

21.
Seo, B.-K., Byon, J.-Y., Lim, Y.-J., and Choi, B.-C., 2015, Evaluation of Surface Wind Forecast over the Gangwon Province using the Mesoscale WRF Model. Journal Korean Earth Science Society, 36(2), 158-170. (in Korean) crossref(new window)

22.
Shafran, P.C., Seaman, N.L., and Gayno, G. A., 2000, Evaluation of numerical predictions of boundary layer structure during the Lake Michigan Ozone Study. Journal of Applied Meteorology, 39(3), 412-426. crossref(new window)

23.
Stauffer, D.R. and Seaman, N.L., 1990, Use of fourdimensional data assimilation in a limited-area mesoscale model. Part I: experiments with synoptic scale data. Monthly Weather Review, 118(6), 1250-1277. crossref(new window)

24.
Stauffer, D.R. and Seaman, N.L., 1994, On multi-scale four-dimensional data assimilation. Journal of Applied Meteorology, 33(3), 416-434. crossref(new window)

25.
Talbot, C., Bouzeld, E., and Smith, J., 2012, Nested mesoscale large-eddy simulation with WRF: performance in real test cases. Journal of Hydrometeorology, 13(5), 1421-1441. crossref(new window)

26.
Yun, J.-I., Hwang, K.-H., Chung, H.-H., Shin, M.-Y., Lim, J.-T., and Shin, J.-C., 1997, Effects of an Artificial lake on the local climate and the crop production in Suncheon area. Asia-Pacific Journal of Atmospheric Sciences, 33(3), 409-427. (in Korean)