Advances in Atmospheric Sciences

, Volume 31, Issue 1, pp 230–240 | Cite as

A methodological study on using weather research and forecasting (WRF) model outputs to drive a one-dimensional cloud model

Article

Abstract

A new method for driving a One-Dimensional Stratiform Cold (1DSC) cloud model with Weather Research and Forecasting (WRF) model outputs was developed by conducting numerical experiments for a typical large-scale stratiform rainfall event that took place on 4–5 July 2004 in Changchun, China. Sensitivity test results suggested that, with hydrometeor profiles extracted from the WRF outputs as the initial input, and with continuous updating of soundings and vertical velocities (including downdraft) derived from the WRF model, the new WRF-driven 1DSC modeling system (WRF-1DSC) was able to successfully reproduce both the generation and dissipation processes of the precipitation event. The simulated rainfall intensity showed a time-lag behind that observed, which could have been caused by simulation errors of soundings, vertical velocities and hydrometeor profiles in the WRF output. Taking into consideration the simulated and observed movement path of the precipitation system, a nearby grid point was found to possess more accurate environmental fields in terms of their similarity to those observed in Changchun Station. Using profiles from this nearby grid point, WRF-1DSC was able to reproduce a realistic precipitation pattern. This study demonstrates that 1D cloud-seeding models do indeed have the potential to predict realistic precipitation patterns when properly driven by accurate atmospheric profiles derived from a regional shortrange forecasting system. This opens a novel and important approach to developing an ensemble-based rain enhancement prediction and operation system under a probabilistic framework concept.

Key words

cloud-seeding model Weather Research and Forecasting (WRF) model rain enhancement 

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References

  1. Chen, S.-H., 2002: A one-dimensional time dependent cloud model. J. Meteor. Soc. Japan, 80, 99–118.CrossRefGoogle Scholar
  2. Chen, S. H., and Y. C. Siao, 2010: Evaluation of an explicit onedimensional time dependent tilting cloud model: Sensitivity to relative humidity. J. Meteor. Soc. Japan, 88, 95–121.CrossRefGoogle Scholar
  3. Clark, A. J., W. A. Gallus Jr., M. Xue, and F. Kong, 2009: A comparison of precipitation forecast skill between small convection-allowing and large convection-parameterizing ensembles. Mon. Wea. Rev., 24, 1121–1140.Google Scholar
  4. Dierer, S., and Coauthors, 2009: Deficiencies in quantitative precipitation forecasts: sensitivity studies using the COSMO model. Meteor. Z., 18, 631–645.CrossRefGoogle Scholar
  5. Guo, X. L., M. Y. Huang, H. Y. Xu, and L. Zhou, 1999: The raindrop category model study on raindrop distribution of stratiform clouds. Scientia Atmospherica Sinica, 23, 411–412. (in Chinese)Google Scholar
  6. Hong, Y. C., 1997: A numerical model of mixed convective stratiform cloud. Acta Meteorologica Sinica, 11, 489–502.Google Scholar
  7. Hong, Y. C., 1998: Numerical simulation study of cloud interaction and formation mechanism of heavy rain in mixed convective-stratiform cloud. Acta Meteorologica Sinica, 12, 112–128.Google Scholar
  8. Hong, Y. C. and F. F. Zhou, 2005: The study of evaluation of potential of artificial Precipitation Enhancement in Stratiform Cloud System. Chinese J. Atmos. Sci., 30, 418–629. (in Chinese)Google Scholar
  9. Hou, T. J., Z. X. Hu and H. C. Lei, 2011: A study of the structure and microphysical processes of a precipitating stratiform cloud in Jilin. Acta Meteorologica Sinica, 69 508-520. (in Chinese)Google Scholar
  10. Hu, Z. J., and C. F. Yan, 1986: Numerical Simulation of Microphysical Processes in Stratiform Clouds(I)-Microphysical Model. Acta Meteorologica Sinica, 45, 467–484. (in Chinese)Google Scholar
  11. Hu, Z. J., and C. F. Yan, 1987: Numerical simulation of microphysical processes of stratiform clouds (II)-Microphysical Processes in middlelatitude cyclone cloud systems. Journal of Academy of Meteorological Science, 2, 133–142. (in Chinese)Google Scholar
  12. Hu, Z. J., Y. Qin, and Y. B. Wang, 1983: A numerical model of the cold stratified clouds. Acta Meteorologica Sinica, 41, 192–203. (in Chinese)Google Scholar
  13. Hu, Z. X., H. C. Lei, X. L. Guo, D. Z. Jin, Y. B. Qi, and X. Q. Zhang, 2007: Studies of the structure of a stratiform cloud and the physical processes of precipitation formation. Chinese J. Atmos. Sci., 31, 425–439. (in Chinese)Google Scholar
  14. Huang, M. Y., Y. C. Hong, Y. X. Wu, and H. Y. Xu, 1987: Some studies on Meiyu frontal cloud system and its precipitation. Chinese Journal of Atmospheric Sciences, 11, 23–30. (in Chinese)Google Scholar
  15. Huang, M. Y. and Coauthors, 1999: Cloud and Precipitation Physics. Science Press, Beijing, 291 pp. (in Chinese)Google Scholar
  16. Janjić, Z. I., 1994: The step-mountain eta coordinate model: Further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon. Wea. Rev., 122, 927–945.CrossRefGoogle Scholar
  17. Jin, L., H. C. Lei, F. F. Kong, J. F. Yang, and Z. X. Hu, 2013: Cloud seedability study with a dual-model system. Atmos. Oceanic Sci. Lett., 6, 197–202.Google Scholar
  18. Kong, F., 1991: A three dimensional numerical simulation research of ice process influence in cumulus development. Science in China (B), 9,106–114.Google Scholar
  19. Kong, F., K. Droegemeier, N. Levit, and N. Branch, 2006: Multiresolution ensemble forecasts of an observed tornadic thunderstorm system, Part I: Comparison of coarse and fine-grid ensembles. Mon. Wea. Rev., 134, 807–833.CrossRefGoogle Scholar
  20. Kong, F., and Coauthors, 2007a: Preliminary analysis on the realtime storm-scale ensemble forecasts produced as a part of the NOAA HazardousWeather Testbed 2007 Spring Experiment. Preprints, 22th on Weather Analysis and Forecasting and 18th on Numerical Weather Prediction, Amer. Meteor. Soc., Park City, UT, 3B.2.Google Scholar
  21. Kong, F., K. Droegemeier, and N. Hickmon, 2007b: Multiresolution ensemble forecasts of an observed tornadic thunderstorm system. Part II: Storm-scale experiments. Mon. Wea. Rev., 135, 759–782.Google Scholar
  22. Kong, F., and Coauthors, 2008: Real-time storm-scale ensemble forecast 2008 spring experiment. 24th Conf. Several Local Storms, Savannah, GA, Ameri. Meteor. Soc., Paper 12.3.Google Scholar
  23. Kong, F., and Coauthors, 2009: A real-time storm-scale ensemble forecast system: 2009 Spring Experiment. 23rd Conference on Weather Analysis and Forecasting/19th Conference on NumericalWeather Prediction, Omaha, NB, Amer. Meteor. Soc., Paper 16A.3.Google Scholar
  24. Liu, X. L., and S. J. Niu, 2009: Numerical simulation on the evolution of cloud particles in 3-D convective cloud. Science in China (D), 52, 1195–1206.CrossRefGoogle Scholar
  25. Liu, X. L., and S. J. Niu, 2010: Numerical simulation of macroand micro-structures of intense convective clouds with a spectral bin microphysics model. Adv. Atmos. Sci., 27, 1078–1088, doi: 10.1007/s00376-010-8088-5.CrossRefGoogle Scholar
  26. Michalakes, J., S. Chen, J. Dudhia, L. Hart, J. Klemp, J. Middlecoff, and W. Skamarock, 2001: Development of a next generation regional weather research and forecast model. 9th Workshop on the Use of High Performance Computing in Meteorology, Reading, United Kingdom, European Centre for Medium Range Weather Forecasts, 269–276.Google Scholar
  27. Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S. A., 1997: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J. Geophys. Res., 102, 16663–16.CrossRefGoogle Scholar
  28. Morrison, H., and J. Pinto, 2005: Mesoscale modeling of springtime Arctic mixed-phase stratiform clouds using a new twomoment bulk microphysics scheme. J. Atmos. Sci., 62, 3683–3704.CrossRefGoogle Scholar
  29. Morrison, H., and W. W. Grabowski, 2007: Comparison of bulk and bin warm-rain microphysics models using a kinematic framework. J. Atmos. Sci., 64, 2839–2861.CrossRefGoogle Scholar
  30. Morrison, H., G. Thompson, and V. Tatarskii, 2009: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of oneand two-moment schemes. Mon. Wea. Rev., 137, 991–1007.CrossRefGoogle Scholar
  31. Skamarock, W., J. Klemp, and J. Dudhia, 2001: Prototypes for the WRF model. [Availiable online at www.wrf-model.org.]Google Scholar
  32. Walser, A., D. Lüthi, and C. Schär, 2004: Predictability of precipitation in a cloud-resolving model. Mon. Wea. Rev., 132, 560–577.CrossRefGoogle Scholar
  33. Xue, M., and Coauthors, 2007: CAPS realtime storm-scale ensemble and high-resolution forecasts as part of the NOAA hazardous weather testbed 2007 spring experiment. 22nd Conf. Weather Analysis, Forecasting/18th Conf. Numerical Weather Predication, Amer. Meteor. Soc., Park City, UT, 3B.Google Scholar
  34. Xue, M., and Coauthors, 2008: CAPS realtime storm-scale ensemble and high-resolution forecasts as part of the NOAA Hazardous Weather Testbed 2008 Spring Experiment. Preprints, 24th Conf. on Severe Local Storm, Amer. Meteor. Soc., Savannah, GA, Paper 12.2.Google Scholar
  35. Xue, M., and Coauthors, 2009: CAPS Realtime Storm-scale Ensemble and High-resolution Forecasts for the NOAA Hazardous Weather Testbed 2009 Spring Experiment. 23rd Conf. Weather Analysis, Forecasting/19th Conf. Numerical Weather Predication, Omaha, NB, Amer. Meteor. Soc., 16A.Google Scholar
  36. Yang, J. F., and H. C. Lei, 2012: Numerical simulation of effects of cloud top temperatures and gener-ating cells on secondary ice production in stratiform clouds with a detailed microphysical model. Atmos. Oceanic Sci. Lett., 5, 75–81.Google Scholar
  37. Yang, J., H. C. Lei, Z. X. Hu, X. L. Guo and W. A. Xiao, 2007: Study on the stratiform cloud numerical model and actual observation. Climatic and Environmental Research, 12, 619–628. (in Chinese)Google Scholar
  38. Zhu, J. S., F. Kong, and H. Lei, 2012: A regional ensemble forecast system for stratiform precipitation events in northern China. Part I: A case study. Adv. Atmos. Sci., 29, 201–216, doi: 10.1007/s00376-011-0137-1.CrossRefGoogle Scholar
  39. Zhu, J. S., F. F. Kong, and H. C. Lei, 2013: A regional ensemble forecast system for stratiform precipitation events in the northern China region. Part II: Seasonal evaluation for summer 2010. Adv. Atmos. Sci., 30, 15–28, doi: 10.1007/s00376-012-1043-x.CrossRefGoogle Scholar

Copyright information

© Chinese National Committee for International Association of Meteorology and Atmospheric Sciences, Institute of Atmospheric Physics, Science Press and Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Ling Jin
    • 1
  • Fanyou Kong
    • 2
  • Hengchi Lei
    • 1
  • Zhaoxia Hu
    • 1
  1. 1.Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina
  2. 2.Center for Analysis and Prediction of StormsUniversity of OklahomaNormanUSA

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