The Beijing extreme rainfall of 21 July 2012: Right results but for wrong reasons

Geophysical Research Letters

Volumn 40, Issue 7, 2013, Pages 1426-1431

  Zhang, Da Lin ^a,b   Lin, Yonghui ^a   Zhao, Ping ^a   Yu, Xiaoding ^c   Wang, Songqiu ^a   Kang, Hongwen ^a   Ding, Yihui ^d  

^a STATE KEY LABORATORY OF SEVERE WEATHER   (China)

^b Bldg 142   (United States)

^c NATIONAL CLIMATE CENTER   (China)

^d NATIONAL SATELLITE METEOROLOGICAL CENTER   (China)

Author keywords

Cloud resolving modeling; Extreme rainfall; Linear mesoscale convective system; Numerical weather prediction

Indexed keywords

CLOUD RESOLVING MODEL; CLOUD-RESOLVING; CONVECTIVE SYSTEMS; EXTREME RAINFALL; LOCAL TOPOGRAPHY; MESOSCALE CONVECTIVE SYSTEM; NUMERICAL WEATHER PREDICTION; OPERATIONAL MODEL;

RAIN; STORMS;

COMPUTER SIMULATION;

ATMOSPHERIC CONVECTION; CLIMATE MODELING; CLIMATE PREDICTION; COLD FRONT; EXTREME EVENT; NUMERICAL MODEL; RAINFALL; TERRAIN;

BEIJING [CHINA]; CHINA;

EID: 84876928481     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/grl.50304     Document Type: Article

References (21)

1. Bei, N., and, F. Zhang, (2007), Impacts of initial condition errors on mesoscale predictability of heavy precipitation along the Meiyu front of China, Q. J. R. Meteorol. Soc., 133, 83-99
2. Doswell, C. A., III, H. E. Brooks, and, R. A. Maddox, (1996), Flash flood forecasting: An ingredients-based methodology, Weather Forecast., 11, 560-581.
3. Gallus, W. A., (1999), Eta simulations of three extreme precipitation events: Sensitivity to resolution and convective parameterization, Weather Forecast., 14, 405-426.
4. Guan, C., Q. Chen, H. Tong, and, H. Wang, (2008), Experiments and evaluations of global medium range forecast system of T639l60, Meteorol. Monogr., 34, 11-16.
5. Grumm, R. H., (2012), Beijing flood of 21 July 2012. [Available at http://nws.met.psu.edu/severe/2012/21Jul2012.pdf].
6. Jung T., et al. (2010), The ECMWF model climate: Recent progress through improved physical parametrizations, Q. J. R. Meteorol. Soc., 136, 1145-1160.
7. Kain, J. S., et al. (2008), Some practical considerations regarding horizontal resolution in the first generation of operational convection-allowing NWP, Weather Forecast., 23, 931-952.
8. Lean, H. W., et al. (2008), Characteristics of high- resolution versions of the Met Office unified model for forecasting convection over the United Kingdom, Mon. Weather Rev., 136, 3408-3424.
9. Maddox, R. A., C. F. Chappell, and, L. R. Hoxit, (1979) Synoptic and meso-α scale aspects of flash flood events, Bull. Am. Meteorol. Soc., 60, 115-123.
10. Molinari, J., and, M. Dudek, (1992), Parameterization of convective precipitation in mesoscale numerical models: A critical review, Mon. Weather Rev., 120, 326-344.
11. Parker, M. D., and, R. H. Johnson, (2004), Structures and dynamics of quasi-2D mesoscale convective systems, J. Atmos. Sci., 61, 545-567.
12. Schumacher, R. S., and, R. H. Johnson, (2005), Organization and environmental properties of extreme-rain-producing mesoscale convective systems, Mon. Weather Rev., 133, 961-976.
13. Schumacher, R. S., and, R. H. Johnson, (2008), Mesoscale processes contributing to extreme rainfall in a midlatitude warm-season flash flood, Mon. Weather Rev., 136, 3964-3986.
14. Schwartz, C. S., et al. (2009), Next-day convection-allowing WRF model guidance: A second look at 2-km versus 4-km grid spacing, Mon. Weather Rev., 137, 3351-3372.
15. Skamarock, W. C., et al. (2005), A Description of the Advanced Research WRF Version 2, National Center for Atmospheric Research, Boulder, Colo.
16. Thompson, G., P. R. Field, R. M. Rasmussen, and, W. D. Hall, (2008), Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization, Mon. Weather Rev., 136, 5095-5115.
17. Trier, S. B., et al. (2006), Mechanisms supporting long-lived episodes of propagating nocturnal convection within a 7-day WRF model simulation, J. Atmos. Sci., 63, 2437-2461.
18. Zhang, D.-L., and, J. M. Fritsch, (1986), Numerical simulation of the meso-βscale structure and evolution of the 1977 Johnstown flood. Part I: Model description and verification, J. Atmos. Sci., 43, 1913-1943.
19. Zhang, D.-L., E.-Y. Hsie, and, M. W. Moncrieff, (1988), A comparison of explicit and implicit predictions of convective and stratiform precipitating weather systems with a meso-β-scale numerical model, Q. J. R. Meteorol. Soc., 114, 31-60
20. Zhang, D.-L., J. S. Kain, J. M. Fritsch, and, K. Gao, (1994), Comments on: " Parameterization of convective precipitation in mesoscale numerical models: A critical review ", Mon. Weather Rev., 122, 2222-2231.
21. Zhang, M., and, D.-L. Zhang, (2012), Sub-kilometer simulation of a torrential-rain-producing mesoscale convective system in East China. Part I: Model verification and convective organization, Mon. Weather Rev., 140, 184-201.