A sensitivy study of microphysics schemes of the wrf-arw model for low-level wind shear forecast in José Martí International Airport during convective storms
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Published:
Jul 27, 2022
Keywords:
microphysics, WRF-ARW, low-level wind shear, convective storm
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Abstract
A sensitivity study is performed with Lin, Morrison 2-moment, WSM5, and WSM6 microphysics schemes for the numerical forecast of the low-level wind shear (LLWS) derived from storms at "José Martí" International Airport using the Weather Research and Forecasting (WRF) model. As case studies, we select four storms associated with synoptic patterns that cause dangerous conditions at this aerodrome. The simulations are made for several atmosphere low levels. The influence of obstacles of comparable height with the atmospheric low-levels was taken into account to obtain the wind fields with mass consistent correction. In this paper, the evaluation process of surface variables is focus on temperature, surface pressure, relative humidity, and precipitation. The schemes did not show bigger differences among themselves. From all of the variables, relative humidity exhibits the worst results. The best performance for precipitation forecast was obtained with WSM5 in rainy season (May-October) and Lin in dry season (November-April). For LLWS sensitivity, results indicate that each hydrometeor particle concentration predicted by tested microphysics has an influence on vertical wind profiles, particularly, for low-levels. WSM5 and Lin seems the best options for microphysics scheme, although that is not conclusive.
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Coll-HidalgoP., Pérez-AlarcónA., González-JardinesP. M., Góngora-GonzálezC. M., & Díaz-ZuritaA. (2022). A sensitivy study of microphysics schemes of the wrf-arw model for low-level wind shear forecast in José Martí International Airport during convective storms. Revista Cubana De Meteorología, 28(3). Retrieved from http://rcm.insmet.cu/index.php/rcm/article/view/645
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Coll-Hidalgo, P.; Pérez-Alarcón, A. & González-Jardines, P.M. 2021. “Evaluation of Microphysics Schemes in WRF-ARW Model for Numerical Wind Forecast in José Martí Airport”. In: Proceedings of The 3rd International Electronic Conference on Atmospheric Sciences.
Creighton, G.; Kuchera, E.; Adams-Selin, R.; McCormick, J.; Rentschler, S. & Wickard, B. 2014. “AFWA diagnostics in WRF”.
Díaz-Zurita, A.; Góngora-González, C.M.; Lobaina-LaO, A.; Pérez-Alarcón, A. & Coll-Hidalgo, P. 2021. “Numerical mesoscale and short-term wind forecast for the “José Martí” International Airport of Havana”. Revista Brasileira de Meteorologia, 36(2),171-182, ISSN: 1982-4351, DOI:10.1590/0102-77863610007.
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Grell, G.A. & Freitas, S.R. 2013. “A scale and aerosol aware stochastic convective parameterization for weather and air quality modelling”. Atmospheric Chemestry and Physics Discussion, 13(23): -23845–23893, ISSN: 1680-7316, DOI:10.5194/acp-14-5233-2014.
Han, J.Y.; Baik, J.J. & Khain, A.P. 2012. “A numerical study of urban aerosol impacts on clouds and precipitation”. Journal of Atmospheric Sciences, 69(2): 504-520, ISSN: 0022-4928, DOI:10.1007/s13143-014-0016-7.
Halder, M.; Hazra, A.; Mukhopadhyay, P. & Siingh, D. 2015. “Effect of the better representation of the cloud ice-nucleation in WRF microphysics schemes: A case study of a severe storm in India”. Atmospheric Research, 154: 155-174, ISSN: 0169-8095, DOI:10.5194/angeo-30-897-2012.
Hermes, L.G.; Witt, A. & Smith, S.D. 1993. “The gust-front detection and wind-shift algorithms for the terminal Doppler weather radar system”. Journal of Atmospheric and Oceanic Technology, 10, 693-709, ISSN: 0739-0572, DOI: 10.1175/1520-0426(1993)010<0693:TGFDAW>2.0.CO;2.
Hon, K.-K. 2018. “Simulated satellite imagery at sub-kilometre resolution by the Hong Kong observatory”. Weather, 73: 139-144, ISSN: 431656, DOI:10.1002/met.1534.
Hon, K.-K. 2020. “Predicting Low-Level Wind Shear Using 200-m-Resolution NWP at the Hong Kong International Airport”. Journal of Applied Meteorology and Climatology, 59: 193-207, ISSN: 1558-8424, DOI:10.1175/JAMC-D-19-0186.1.
Hong, S.-Y.; Dudhia, J. & Chen, S.-H. 2004. “A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation”. Monthly Weather Review, 132: 103–120 ISSN: 1520-0493, DOI: 10.1175/1520-0493(2004)132<0103:ARATIM>2.0.CO;2.
Hong, S.-Y & Lim, J.-O.J. 2006. “The WRF single–moment 6–class microphysics scheme (WSM6)”. Journal of the Korean Meteorological Society, 42: 129–151, ISSN: 1598-3560, DOI:10.1155/2010/707253.
Hu, X.-M; Nielsen-Gammon, J.W. & Zhang, F. 2012. “Evaluation of three planetary boundary layer schemes in the WRF model”. Journal of Applied Meteorology and Climatology, 49(9): 1831-1844, ISSN: 1558-8424, DOI: 10.1175/2010JAMC2432.1.
Hu, X.-M.; Klein, P.M. & Xue, M. 2013. “Evaluation of the update YSU planetary boundary layer scheme with in WRF for wind resource and air quality assessments”. Journal of Geophysical Research: Atmospheres, 118(8): 10490-10505, ISSN: 0148-0227, DOI:10.1002/jgrd.50823.
Iribarne, J.V. & Godson, W.L. 1981. “Atmospheric Thermodynamics”. In Geophysics and Astrophysics Monographs, 2nd ed.; B.M. McCormac, Ed.; Kluwer Academic Publishers: Boston, MA, USA; pp. 259.
Janjić, Z.I. 2001. “Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso Model”. NCEP Office Note 437.
Lihui, J.; Baiquan, T.; Xinglong, X. ; Zibo, Z. & Bin, Y. 2012. “Numerical simulations of low attitude wind shear based on Doppler lidar. Infrared Laser”. Infrared and Laser Engineering, 41(7): 1761-1766, ISSN: 1007-2276.
Jolliffe, I. & Stephenson, D. 2003. “Forest Verification: a practitioner’s guide in atmospheric science”. In: John Wiley Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England, pp. 37–97.
Lin, Y.-L.; Farley, R.D. & Orville, H.D. 1983. “Bulk parameterization of the snow field in a cloud model”. Journal of Applied Meteorology and Climatology, 22(6): 1065–1092, ISSN: 1558-8424, DOI:10.1175/1520-0450(1983)022<1065:BPOTSF>2.0.CO;2.
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