On the impact of WRF model vertical grid resolution on midwest summer rainfall forecasts

Weather and Forecasting

Volumn 24, Issue 2, 2009, Pages 575-594

  Aligo, Eric A ^a   Gallus Jr , William A ^a   Segal, Moti ^a  

^a IOWA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC PROCESS; EQUITABLE THREAT SCORE; ILLUSTRATIVE CASE; LATERAL BOUNDARY CONDITIONS; MELTING LEVELS; MICROPHYSICAL PROCESS; NEGATIVE IMPACTS; QUANTITATIVE PRECIPITATION FORECAST; REANALYSIS; SENSITIVITY SIMULATION; SUMMER RAINFALL; SURFACE LAYERS; THERMAL FLUXES; TURBULENT MOMENTUM; VERTICAL GRIDS; VERTICAL PROFILE; WEATHER RESEARCH AND FORECAST MODELS; WRF MODEL;

ATMOSPHERIC THERMODYNAMICS; REFINING;

WEATHER FORECASTING;

BOUNDARY CONDITION; CLIMATE PREDICTION; RAINFALL; SENSITIVITY ANALYSIS; SIMULATION; SUMMER; SURFACE LAYER; THERMODYNAMICS; VERTICAL PROFILE; WEATHER FORECASTING;

EID: 69949179958     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008WAF2007101.1     Document Type: Article

References (47)

1. Aligo, E. A., W. A. Gallus Jr., and M. Segal, 2007: Summer rainfall forecast spread in an ensemble initialized with different soil moisture analyses. Wea. Forecasting, 22, 299-314.
2. Baldwin, M. E., and K. E. Mitchell, 1997: The NCEP hourly multisensor U.S. precipitation analysis for operations and GCIP research. Preprints, 13th Conf. on Hydrology, Long Beach, CA, Amer. Meteor. Soc., 54-55.
3. Betts, A. K., 1986: A new convective adjustment scheme. Part I: Observational and theoretical basis. Quart. J. Roy. Meteor. Soc., 112, 677-692.
4. Betts, A. K., and M. J. Miller, 1986: A new convective adjustment scheme. Part II: Single column tests using GATE wave, BOMEX, ATEX and arctic air-mass data sets. Quart. J. Roy. Meteor. Soc., 112, 693-709.
5. Bryan, G. H., J. C. Wyngaard, and J. M. Fritsch, 2003: Resolution requirements for the simulation of deep moist convection. Mon. Wea. Rev., 131, 2394-2416.
6. Colle, B. A., and S. E. Yuter, 2007: The impact of coastal boundaries and small hills on the precipitation distribution across southern Connecticut and Long Island, New York. Mon. Wea. Rev., 135, 933-954.
7. Davis, C., and Coauthors, 2004: The Bow Echo and MCV Experiment: Observations and opportunities. Bull. Amer. Meteor. Soc., 85, 1075-1093.
8. Ebert, E. E., 2001: Ability of a poor man's ensemble to predict the probability and distribution of precipitation. Mon. Wea. Rev., 129, 2461-2480.
9. Ek, M. B., K. E. Mitchell, Y. Lin, E. Rogers, P. Grunmann, V. Koren, G. Gayno, and J. D. Tarplay, 2003: Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. J. Geophys. Res., 108, 8851, doi:10.1029/2002JD003296.
10. Gallus, W. A., Jr., and M. Segal, 2001: Impact of improved initialization of mesoscale features on convective system rainfall in 10-km Eta simulations. Wea. Forecasting, 16, 680-696.
11. Gallus, W. A., Jr., J. Correia Jr., and I. Jankov, 2005: The 4 June 1999 derecho event: A particularly difficult challenge for numerical weather prediction. Wea. Forecasting, 20, 705-728.
12. Gilmore, M. S., J. M. Straka, and E. N. Rasmussen, Precipitation and evolution sensitivity in simulated deep convective storms: Comparisons between liquid-only and simple ice and liquid phase microphysics. Mon. Wea. Rev., 132, 1897-1916.
13. Grams, J. S., W. A. Gallus Jr., S. E. Koch, L. S. Wharton, A. Loughe, and E. E. Ebert, 2006: The use of a modified Ebert-McBride technique to evaluate mesoscale model QPF as a function of convective system morphology during IHOP 2002. Wea. Forecasting, 21, 288-306.
14. Hong, S.-H., and J.-O. Lim, 2006: The WRF single-moment 6-class microphysics scheme (WSM6). J. Kor. Meteor. Soc., 42, 129-151.
15. Hong, S.-H., J. Dudhia, and S.-H. Chen, 2004: A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation. Mon. Wea. Rev., 132, 103-120.
16. Janjić, Z. I., 1994: The step-mountain Eta coordinate model: Further developments of the convection closure schemes. Mon. Wea. Rev., 122, 927-945.
17. Janjić, Z. I., 2002: Nonsingular implantation of the Mellor-Yamada level 2.5 scheme in the NCEP mesomodel. NOAA/NWS/NCEP Office Note 437, 61 pp.
18. Jankov, I., and W. A. Gallus Jr., 2004: MCS rainfall forecast accuracy as a function of large-scale forcing. Wea. Forecasting, 19, 428-439.
19. Jankov, I., W. A. Gallus Jr., M. Segal, B. Shaw, and S. E. Koch, 2005: The impact of different WRF model physical parameterizations and their interactions on warm season MCS rainfall. Wea. Forecasting, 20, 1048-1060.
20. Jankov, I., W. A. Gallus Jr., M. Segal, and S. E. Koch, 2007: Influence of initial conditions on the WRF-ARW model QPF response to physical parameterization changes. Wea. Forecasting, 22, 501-519.
21. Jewett, B. F., and R. B. Wilhelmson, 2006: The role of forcing in cell morphology and evolution within midlatitude squall lines. Mon. Wea. Rev., 134, 3714-3734.
22. Kain, J. S., and J. M. Fritsch, 1993: The role of the convective "trigger function" in numerical forecasts of mesoscale convective systems. Meteor. Atmos. Phys., 49, 93-106.
23. Kallos, G., and M. Segal, 1991: On the meteorological conditions during postprecipitation periods: Implications to pollutant dispersion. J. Appl. Meteor., 30, 297-311.
24. Kimball, S. K., and F. C. Dougherty, 2006: The sensitivity of idealized hurricane structure and development to the distribution of vertical levels in MM5. Mon. Wea. Rev., 134, 1987-2008.
25. Lin, Y.-L., R. D. Farley, and H. D. Orville, 1983: Bulk parameterization of the snow field in a cloud model. J. Appl. Meteor., 22, 1065-1092.
26. Lindzen, R. S., and M. Fox-Rabinovitz, 1989: Consistent vertical and horizontal resolution. Mon. Wea. Rev., 117, 2575-2583.
27. Markowski, P. M., E. N. Rasmussen, J. M. Straka, and D. C. Dowell, 1998: Observations of low-level baroclinicity generated by anvil shadows. Mon. Wea. Rev., 126, 2942-2958.
28. Mass, C. F., D. Ovens, K. Westrick, and B. A. Colle, 2002: Does increasing horizontal resolution produce better forecasts? The results of two years of real-time numerical weather prediction over the Pacific Northwest. Bull. Amer. Meteor. Soc., 83, 407-430.
29. Ookouchi, Y., M. Segal, R. C. Kessler, and R. A. Pielke, 1984: Evaluation of soil moisture effects on the generation and modification of mesoscale circulations. Mon. Wea. Rev., 112, 2281-2292.
30. Panofsky, H.A., and J.A. Dutton, 1984: Atmospheric Turbulence: Models andMethods for Engineering Applications. John Wiley and Sons, 397 pp.
31. Pecnick, M. J., and D. Keyser, 1989: The effect of spatial resolution on the simulation of upper-tropospheric frontogenesis using a sigma-coordinate primitive equation model. Meteor. Atmos. Phys., 40, 137-149.
32. Roebber, P. J., and J. Eise, 2001: The 21 June 1997 flood: Storm-scale simulations and implications for operational forecasting. Wea. Forecasting, 16, 197-218.
33. Roebber, P. J., D. M. Schultz, B. A. Colle, and D. J. Stensrud, 2004: The risks and rewards of high-resolution and ensemble numerical weather prediction. Wea. Forecasting, 19, 936-949.
34. Rogers, E., T. Black, B. Ferrier, Y. Lin, D. Parrish, and G. DiMego, 2001: Changes to the NCEP Meso Eta analysis and forecast system: Increase in resolution, new cloud microphysics, modified precipitation assimilation, modified 3DVAR analysis. NWS Technical Procedures Bulletin 488, 21 pp. [Available online at http://www.emc.ncep.noaa.gov/mmb/mmbpll/ eta12tpb/.]
35. Rosenberg, N.J., B.L. Blad, and S.B. Verma, 1983: Microclimate. John Wiley and Sons, 495 pp.
36. Schaefer, J. T., 1990: The critical success index as an indicator of warning skill. Wea. Forecasting, 5, 570-575.
37. Segal, M., J. F. W. Purdom, J. L. Song, R. A. Pielke, and Y. Mahrer, 1986: Evaluation of cloud shading effects on the generation and modification of mesoscale circulations. Mon. Wea. Rev., 114, 1201-1212.
38. 2O Project (IHOP) domain. Extended Abstracts, Fifth WRF/14th MM5 Users' Workshop, Boulder, CO, National Center for Atmospheric Research, 3.6. [Available online at http://www.mmm.ucar.edu/mm5/workshop/workshop-papers_ws04.html.]
39. Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, W. Wang, and J. G. Powers, 2005: Adescription of the Advanced Research WRF version 2. NCAR Tech. Note NCAR/TN-468 + STR, 88 pp. [Available online at http://www.wrf-model.org/wrfadmin/docs/arw_v2.pdf].
40. Stein, U., and P. Alpert, 1993: Factor separation in numerical simulations. J. Atmos. Sci., 50, 2107-2115.
41. Thompson, G., P. R. Field, W. D. Hall, and R. M. Rasmussen, 2006: A new bulk microphysical parameterization for WRF (&MM5). Preprints, Seventh WRF Users' Workshop, Boulder, CO, National Center for Atmospheric Research, 1.11.
42. Tribbia, J. J., and D. P. Baumhefner, 1988: The reliability of improvements in deterministic short-range forecasts in the presence of initial state and modeling deficiencies. Mon. Wea. Rev., 116, 2276-2288.
43. Warner, T. T., and H.-M. Hsu, 2000: Nested-model simulation of moist convection: The impact of coarse-grid parameterized convection on fine-grid resolved convection. Mon. Wea. Rev., 128, 2211-2231.
44. Wei, H., M. Segal, W. J. Gutowksi Jr., Z. Pan, R. W. Arritt, and W. A. Gallus Jr., 2001: Sensitivity of simulated regional surface thermal fluxes during warm advection snowmelt to selection of the lowest model level height. J. Hydrometeor., 2, 395-405.
45. Weisman, M. L., W. C. Skamarock, and J. B. Klemp, 1997: The resolution dependence of explicitly modeled convective systems. Mon. Wea. Rev., 125, 527-548.
46. Weisman, M. L., C. Davis, and J. Done, 2004: The promise and challenge of explicit convective forecasting with the WRF model. Preprints, 22nd Conf. on Severe Local Storms, Hyannis, MA, Amer. Meteor. Soc., 17.2. [Available online at http://ams.confex.com/ams/pdfpapers/ 81383.pdf.]
47. Zhang, D.-L., and X. Wang, 2003: Dependence of hurricane intensity and structure on vertical resolution and time-step size. Adv. Atmos. Sci., 20, 711-725.