Browse > Article
http://dx.doi.org/10.7780/kjrs.2020.36.5.1.12

Verification of the Planetary Boundary Layer Height Calculated from the Numerical Model Using a Vehicle-Mounted Lidar System  

Park, Chang-Geun (AI Weather Forecast Research Team, National Institute of Meteorological Sciences)
Nam, Hyoung-Gu (High Impact Weather Research Department, National Institute of Meteorological Sciences)
Publication Information
Korean Journal of Remote Sensing / v.36, no.5_1, 2020 , pp. 793-806 More about this Journal
Abstract
In this study,for YSU (Yonsei University), MYJ(Mellor-Yamada-Janjic), ACM2 (Asymmetric Convective Model), and BouLac (Bougeault-Lacarrere) PBL schemes, numerical experiments were performed for the case period (June 26-30, 2014). The PBLH calculated by using the backscatter signal produced by the mobile vehicle-mounted lidar system (LIVE) and the PBLH calculated by the prediction of each PBL schemes of WRF were compared and analyzed. In general, the experiments using the non-local schemes showed a higher correlation than the local schemes for lidar observation. The standard deviation of the PBLH difference for daylight hours was small in the order of YSU (≈0.39 km), BouLac (≈0.45 km), ACM2 (≈0.47 km), MYJ (≈0.53 km) PBL schemes. In the RMSE comparison for the case period, the YSU PBL scheme was found to have the highest precision. The meteorological lider mounted on the vehicle is expected to provide guidance for the analysis of the planetary boundary layer in a numerical model under various weather conditions.
Keywords
Planetary boundary layers height; Lidar; WRF; PBL schemes;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
1 Alapaty, K., D. Niyogi, F. Chen, P. Pyle, A. Chandrasekar, and N. Seaman, 2008. Development of the flux-adjusting surface data assimilation system for mesoscale models, Journal of Applied Meteorology and Climatology, 47: 2331-2350.   DOI
2 Aryee, J.N.A., L.K. Amekudzi, K. Preko, W.A .Atiah, and S.K. Danuor, 2020. Estimation of planetary boundary layer height from radiosonde profiles over West Africa during the AMMA field campaign: Intercomparison of different methods, Scientific African, 7: e00228.   DOI
3 Baars, H., A. Ansmann, R. Engelmann, and D. Althausen, 2008. Continuous monitoring of the boundary-layer top with lidar, Atmospheric Chemistry and Physics, 8: 7281-7296.   DOI
4 Banks, R.F., J. Tiana-Alsina, F. Rocadenbosch, and J.M. Baldasano, 2015. Performance evaluation of the boundary-layer height from lidar and the weather research and forecasting model at an urban coastal site in the north-east Iberian Peninsula, Boundary-Layer Meteorology, 157: 265-292.   DOI
5 Banks, R.F., J. Tiana-Alsina, J.M. Baldasano, F. Rocadenbosch, A. Papayannis, S. Solomos, and C.G. Tzanis, 2016. Sensitivity of boundary-layer variables to PBL schemes in the WRF model based on surface meteorological observations, lidar, and radiosondes during the HygrA-CD campaign, Atmospheric Research, 176-177: 185-201.   DOI
6 Beyrich, F., 1997. Mixing height estimation from sodar data - a critical discussion, Atmospheric Environment, 31: 3941-3953.   DOI
7 Coen, M.C., C. Praz, A. Haefele, D. Ruffieux, P. Kaufmann, and B. Calpini, 2014. Determination and climatology of the planetary boundary layer height above the Swiss plateau by in situ and remote sensing measurements as well as by the COSMO-2 model, Atmospheric Chemistry and Physics, 14: 13205-13221.   DOI
8 Bougeault, P. and P. Lacarrere, 1989. Parameterization of orography-induced turbulence in a mesobeta-scale model, Monthly Weather Review, 117: 1872-1890.   DOI
9 Breuer, H., F. Acs, A. Horvath, P. Nemeth, and K. Rajkai, 2014. Diurnal course analysis of the WRF-simulated and observation-based planetary boundary layer height, Advances in Science and Research, 11: 83-88.   DOI
10 Brooks, I.M., 2003. Finding boundary layer top: application of a wavelet covariance transform to lidar backscatter profiles, Journal of Atmospheric and Oceanic Technology, 20: 1092-1105.   DOI
11 Comeron, A., M. Sicard, D. Kumar, and F. Rocadenbosch, 2011. Use of a field lens for improving the overlap function of a lidar system employing an optical fiber in the receiver assembly, Applied Optics, 50: 5538-5544.   DOI
12 Compton, J.C., R. Delgado, T.A. Berkoff, and R.M. Hoff, 2013. Determination of planetary boundary layer height on short spatial and temporal scales: a demonstration of the covariance wavelet transform in ground-based wind profiler and lidar measurements, Journal of Atmospheric and Oceanic Technology, 30: 1566-1575.   DOI
13 Draxl, C., A.N. Hahmann, A. Pena, and G. Giebel, 2014. Evaluating winds and vertical wind shear from Weather Research and Forecasting model forecasts using seven planetary boundary layer schemes, Wind Energy, 17: 39-55.   DOI
14 Dudhia, J., 1989. Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model, Journal of the Atmospheric Sciences, 46: 3077-3107.   DOI
15 Hong, S.Y. and H.L. Pan, 1996. Nonlocal boundary layer vertical diffusion in a medium-range forecast model, Monthly Weather Review, 124: 2322-2339.   DOI
16 Giuseppe, F.D., A. Riccio, L. Caporaso, G. Bonafe, G.P. Gobbi, and F. Angelini, 2012. Automatic detection of atmospheric boundary layer height using ceilometer backscatter data assisted by a boundary layer model, Quarterly Journal of the Royal Meteorological Society, 138: 649-663.   DOI
17 Granados-Munoz, M.J., F. Navas-Guzman, J.A. Bravo-Aranda, J.L. Guerrero-Rascado, H. Lyamani, J. Fernandez-Galvez, and L. Alados-Arboledas, 2012. Automatic determination of the planetary boundary layer height using lidar: one-year analysis over southeastern Spain, Journal of Geophysical Research, 117: D18208.
18 Guerrero-Rascado, J.L., M.J. Costa, D. Bortoli, A.M. Silva, H. Lyamani, and L. Alados-Arboledas, 2010. Infrared lidar overlap function: an experimental determination, Optics Express, 18: 20350-20359.   DOI
19 Harms, J., 1979. Lidar return signals for coaxial and noncoaxial systems with central obstruction, Applied Optics, 18: 1559-1566.   DOI
20 Hennemuth, B. and A. Lammert, 2005. Determination of the atmospheric boundary layer height from radiosonde and lidar backscatter, Boundary-Layer Meteorology, 120: 181-200.   DOI
21 Hong, S.Y., Y. Noh, and J. Dudhia, 2006. A new vertical diffusion package with an explicit treatment of entrainment processes, Monthly Weather Review, 134: 2318-2341.   DOI
22 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.   DOI
23 Nam, H.G., W. Choi, Y.J. Kim, J.K. Shim, B.C. Choi, and B.G. Kim, 2016. Estimate and analysis of planetary boundary layer height (PBLH) using a mobile lidar vehicle system, Korean Journal of Remote Sensing, 32: 307-321 (in Korean with English abstract).   DOI
24 Kang, M., Y.K. Lim, C. Cho, K.R. Kim, J.S. Park, and B.J Kim, 2016. Accuracy assessment of planetary boundary layer height for the WRF model using temporal high resolution radio-sonde observations, Atmosphere, 26: 673-686 (in Korean with English abstract).   DOI
25 Lim, A.Y., J.W. Roh, J.B. Jee, and Y.J. Choi, 2015. Sensitivity experiments of vertical resolution and planetary boundary layer parameterization schemes on the Seoul metropolitan area using WRF model, Journal of Korean Earth Science Society, 36: 553-566.(in Korean with English abstract).   DOI
26 Lim, K.S.S. and S.Y. Hong, 2010. Development of an effective double-moment cloud microphysics scheme with prognostic cloud condensation nuclei (CCN) for weather and climate models, Monthly Weather Review, 138: 1587-1612.   DOI
27 Milovac J., K. Warrach-Sagi, A. Behrendt, F. Spath, J. Ingwersen, and V. Wulfmeyer, 2016. Investigation of PBL schemes combining the WRF model simulations with scanning water vapor differential absorption lidar measurements, Journal of Geophysical Research: Atmosphere, 121: 624-649.   DOI
28 Mlawer, E.J., S.J. Taubman, P.D. Brown, M.J. Iacono, and S.A. Clough, 1997. Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave, Journal of Geophysical Research, 102: 16663-16682.   DOI
29 Noh, Y.M., D. Muller, D. Shin, and K. Lee, 2009. Retrieval of lidar overlap factor using raman lidar system, Journal of Korean Society for Atmospheric Environment, 25: 450-458 (in Korean with English abstract).   DOI
30 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.   DOI
31 Shin, H.H. and J. Dudhia, 2016. Evaluation of PBL parameterizations in WRF at subkilometer grid spacings: turbulence statistics in the dry convective boundary layer, Monthly Weather Review, 144: 1161-1177.   DOI
32 Rizza, U., M.M. Miglietta, O.C. Acevedo, V. Anabor, G.A. Degrazia, A.G. Goulart, and H.R. Zimmerman, 2013. Large-eddy simulation of the planetary boundary layer under baroclinic conditions during daytime and sunset turbulence, Meteorological Applications, 20: 56-71.   DOI
33 Seo, B.K., J.Y. Byon, Y.J. Lim, and B.C. Choi, 2015. Evaluation of surface wind forecast over the Gangwon province using the mesoscale WRF model, Journal of Korean Earth Science Society, 36: 158-170.(in Korean with English abstract).   DOI
34 Shin, H.H. and S.Y. Hong, 2011. Intercomparison of planetary boundary-layer parametrizations in the WRF model for a single day from CASES-99, Boundary-Layer Meteorology, 139: 261-281.   DOI
35 Stull, R.B., 1988. An introduction to boundary layer meteorology, Kluwer Academic Publisher, Dordrecht, Netherlands.
36 Tikhomirov, A.A., 2001. Predetector processing of lidar returns in atmospheric laser sensing, Russian Physics Journal, 44: 1115-1127.   DOI
37 Xie, B., J.C.H. Fung, A. Chan, and A. Lau, 2012. Evaluation of nonlocal and local planetary boundary layer schemes in the WRF model, Journal of Geophysical Research, 117: D12103.
38 Zhang, Y., D. Liu, Z. Zheng, Z. Liu, D.Y. Hu, B. Qi, C. Liu, L. Bi, K. Zhang, C. Wen, L. Jiang, Y. Liu, J. Ke, and Z. Zang, 2018. Effects of auxiliary atmospheric state parameters on the aerosol optical properties retrieval errors of high-spectral-resolution lidar, Applied Optics, 57: 2627-2637.   DOI