The dependence of ensemble dispersion on analysis-forecast systems: Implications to short-range ensemble forecasting of precipitation

Monthly Weather Review

Volumn 127, Issue 7, 1999, Pages 1674-1686

  Mullen, Steven L ^a   Du, Jun ^a,c   Sanders, Frederick ^b  

^a UNIVERSITY OF ARIZONA   (United States)

^b Natl Centers Environ Prediction ^*

^c Natl Centers Environ Prediction   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CYCLOGENESIS; FORECASTING METHOD; PARAMETERIZATION; WEATHER FORECASTING;

EID: 0032736284     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0493(1999)127<1674:TDOEDO>2.0.CO;2     Document Type: Article

References (62)

1. Anderson, J. L., 1996: A method for producing and evaluating probabilistic precipitation forecasts from ensemble model integrations. J. Climate, 9, 1518-1529.
2. _, 1997: The impact of dynamical constraints on the selection of initial conditions for ensemble predictions: Low-order perfect model results. Mon. Wea. Rev. 125, 2969-2983.
3. Anthes, R. A., 1977: A cumulus parameterization scheme utilizing a one-dimensional cloud model. Mon. Wea. Rev., 105, 963-984.
4. _, 1986: The general question of predictability. Mesoscale Meteorology and Forecasting, P. S. Ray, Ed., Amer. Meteor. Soc., 636-656.
5. _, E.-Y. Hsie, and Y.-H. Kuo, 1987: Description of the Penn State/ NCAR Mesoscale Model Version 4 (MM4). NCAR Tech. Note NCAR/TN 282+STR, 66 pp. [Available from National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80303.]
6. Arakawa, A., and W. H. Schubert, 1974: Interaction of a cumulus cloud ensemble with the large-scale environment. Part I. J. Atmos. Sci., 31, 674-701.
7. Augustine, S. J., S. L. Mullen, and D. P. Baumhefner, 1991: Examination of actual analysis differences for use in Monte Carlo forecasting. Preprints, 16th Annual Climate Diagnostics Workshop, Los Angeles, CA, NOAA/NWS/NMC/CAC, 375-378.
8. Blackadar, A. K., 1979: High resolution models of the planetary boundary layer. Advances in Environmental Science and Engineering, J. Pfafflin and E. Ziegler, Eds., Vol. 1, Gordon and Beach Science Publications, 50-85.
9. Bresch, J. F., and J.-W. Bao, 1996: Generation of mesoscale model ensemble members by varying model physics. Preprints, 11th Conf. on Numerical Weather Prediction, Norfolk, VA, Amer. Meteor. Soc., 62-64.
10. Brooks, H. E., C. A. Doswell, and L. J. Wicker, 1993: STORMTIPE: A forecasting experiment using a three-dimensional cloud model. Wea. Forecasting, 8, 352-362.
11. _, M. S. Tracton, D. J. Stensrud, G. J. DiMego, and Z. Toth, 1995: Short-range ensemble forecasting (SREF): Report from a workshop. Bull. Amer. Meteor. Soc., 76, 1617-1624.
12. Buizza, R., 1997: Potential forecast skill of ensemble prediction and spread and skill distributions of the ECMWF ensemble prediction system. Mon. Wea. Rev., 125, 99-119.
13. Cressman, G. P., 1959: An operational objective analysis system. Mon. Wea. Rev., 87, 367-374.
14. Crook, N. A., 1996: Sensitivity of moist convetion forced by boundary layer processes to low-level thermodynamic fields. Mon. Wea. Rev., 124, 1767-1785.
15. Daley, R., and T. Mayer, 1986: Estimates of global analysis error from the global weather experiment observational network. Mon. Wea. Rev., 114, 1642-1653.
16. Du, J., S. L. Mullen, and F. Sanders, 1997: Short-range ensemble forecasting of quantitative precipitation. Mon. Wea. Rev., 125, 2427-2459.
17. Epstein, E. S., 1969a: Stochastic dynamic prediction. Tellus, 21, 739-759.
18. _, 1969b: A scoring system for probability forecasts of ranked categories. J. Appl Meteor., 8, 985-987.
19. Errico, R. M., 1983: A guide to transform software for non-linear normal-mode initialization of the NCAR Community Forecast Model. NCAR/TN-217+IA, 86 pp. [Available from the National Atmospheric Research Center, P.O. Box 3000, Boulder, CO 80303.]
20. _, and D. P. Baumhefner, 1987: Predictability experiments using a high-resolution limited-area model. Mon. Wen. Rev., 115, 488-504.
21. Fritsch, J. M., and Coauthors, 1998: Quantitative precipitation forecasting: Report of the Eighth Prospectus Development Team, U. S. Weather Research Program. Bull. Amer. Meteor. Soc., 79, 285-299.
22. Grell, G., Y.-H. Kuo, and R. Pasch, 1991: Semiprognostic tests of cumulus parameterization schemes in the middle latitudes. Mon. Wea. Rev., 119, 5-31.
23. Hamill, T. M., and S. J. Colucci, 1997: Verification of Eta-RSM shortrange ensemble forecasts. Mon. Wen. Rev., 125, 1312-1327.
24. _, and _, 1998: Evaluation of Eta/RSM ensemble probabilistic precipitation forecasts. Mon. Wea. Rev., 126, 711-724.
25. Hoke, J. E., N. A. Phillips, G. J. DiMego, J. J. Tucillo, and J. G. Sela, 1989: The regional analysis and forecast system of the National Meterological Center. Wea. Forecasting, 4, 323-334.
26. Hsie, E.-Y., R. A. Anthes, and D. Keyser, 1984: Numerical simulation of frontogenesis in a moist atmosphere. J. Atmos. Sci., 41, 2581-2594.
27. Kuo, H. L., 1974: Further studies of the parameterization of the effect of cumulus convection on large-scale flow. J. Atmos. Sci., 31, 1232-1240.
28. _, and R. J. Reed, 1988: Numerical simulation of an explosively deepening cyclone in the eastern Pacific. Mon. Wea. Rev., 116, 2081-2105.
29. _, and S. Low-Nam. 1990: Prediction of nine explosive cyclones over the western Atlantic with a regional model. Mon. Wea. Rev., 118, 3-25.
30. Leith, C. E., 1974: Theoretical skill of Monte Carlo forecasts. Mon. Wea. Rev., 102, 409-418.
31. Livezey, R. E., and W. Y. Chen, 1983: Statistical field significance and its determination by Monte Carlo techniques. Mon. Wea. Rev., 111, 46-59.
32. Lorenz, E. N., 1982: Atmospheric predictability experiments with a large numerical model. Tellus, 34, 505-513.
33. Manning, K. W., and P. L. Haagenson, 1992: Data ingest and objective analysis for the PSU/NCAR modeling system: Programs DATAGRID and RAWINS. NCAR/TN 376+ STR+ IA, 209 pp. [Available from the National Atmospheric Research Center, P.O. Box 3000, Boulder, CO 80303.]
34. Mass, C. F., and D. M. Schultz, 1993: The structure and evolution of a simulated midlatitude cyclone over land. Mon. Wea. Rev., 121, 889-917.
35. Molteni, F., T. N. Palmer, R. Buizza, and T. Pertroliagis, 1996: The ECMWF ensemble prediction system: Methodology and verification. Quart. J. Roy. Meteor. Soc., 122, 73-121.
36. Mullen, S. L., and D. P. Baumhefner, 1988: The sensitivity of numerical simulations of explosive oceanic cyclogenesis to changes in physical parameterizations. Mon. Wen. Rev., 116, 2289-2339.
37. _, and _, 1989: The impact of initial condition uncertainty on numerical simulations of large scale explosive cyclogenesis. Mon. Wea. Rev., 117, 2289-2329.
38. _, and _, 1994: Monte Carlo simulations of explosive cyclogenesis. Mon. Wea. Rev., 122, 1548-1567.
39. _, and J. Du, 1994: Monte Carlo forecasts of explosive cyclogenesis with a limited-area, mesoscale model. Preprints, 10th Conf. on Numerical Weather Prediction, Portland, OR, Amer. Meteor. Soc., 638-640.
40. Murphy, A. H., 1971: A note on the Ranked Probability Score. J. Appl. Meteor., 10, 155-156.
41. Orlanski, I., and J. J. Katzfey, 1987: Sensitivity of model simulations for a coastal cyclone. Mon. Wea. Rev., 115, 2792-2821.
42. Palmer, T. N., 1995: The predictability of the atmosphere and oceans: From days to decades. Preprints, Decadal Climate Variability: Dynamics and Predictability, Les Houches, France, NATO Advance Study Institute, 84-181.
43. Powers, J. G., and R. J. Reed, 1993: Numerical simulation of the large-amplitude mesoscale gravity-wave event of 15 December 1987 in the central United States. Mon. Wea. Rev., 121, 2285-2308.
44. Preisendorfer, R. W., and T. Barnett, 1983: Numerical model-reality intercomparison tests using small-sample statistics. J. Atmos. Sci., 40, 1884-1896.
45. Richardson, D. S., M. S. J. Harrison, K. B. Robertson, and A. P. Woodcock, 1996: Joint medium-range ensembles using UKMO, ECMWF, and NCEP ensemble systems. Preprints, 11th Conf. on Numerical Weather Prediction, Norfolk, VA, Amer. Meteor. Soc., J26-J28.
46. Schaefer, J. T., 1990: The critical success index as an indicator of warning skill. Wea. Forecasting, 5, 570-575.
47. Schneider, R. S., 1990: Large-amplitude mesoscale wave disturbances with the intense Midwestern extratropical cyclone of 15 December 1987. Wea. Forecasting, 5, 533-558.
48. Spiegel, M. A., 1975: Probability and Statistics. McGraw-Hill, 372 pp.
49. Stamus, P. A., F. H. Carr, and D. P. Baumhefner, 1992: Application of a scale-separation verification technique to regional forecast models. Mon. Wea. Rev., 120, 149-163.
50. Stensrud, D. J., and J. M. Fritsch, 1994a: Mesoscale convective systems in weakly forced large-scale environment. Part II: Generation of a mesoscale initial condition. Mon. Wea. Rev., 122, 2068-2083.
51. _, and _, 1994b: Mesoscale convective systems in weakly forced large-scale environment. Part III: Numerical simulations and implications for operational forecasting. Mon. Wea. Rev., 122, 2084-2104.
52. _, H. E. Brooks, J. Du, M. S. Tracton, and E. Rogers, 1999: Using ensembles for short-range forecasting. Mon. Wea. Rev., 127, 433-446.
53. Toth, Z., and E. Kalnay. 1993: Ensemble forecasting at NMC: The generation of perturbations. Bull. Amer. Meteor. Soc., 74, 2317-2330.
54. Tracton, M. S., R. Wobus, and Z. Toth, 1996: On the principles and operational utility ensemble prediction. Preprints, 11th Conf. on Numerical Weather Prediction, Norfolk, VA, Amer. Meteor. Soc., J17-J18.
55. 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.
56. Wang, W., and N. L. Seaman, 1997: A comparison study of convective parameterization schemes in a mesoscale model. Mon. Wea. Rev., 125, 252-278.
57. Warner, T. T., R. A. Peterson, and R. E. Treadon, 1997: A tutorial on lateral boundary conditions as a basic and potentially serious limitation to regional numerical weather prediction. Bull. Amer. Meteor. Soc., 78, 2599-2617.
58. Wilks, D. S., 1995: Statistical Methods in the Atmospheric Sciences. Academic Press, 467 pp.
59. Williamson, D. L., J. T. Kiehl, V. Ramanathan, R. E. Dickinson, and J. J. Hack, 1987: Description of the NCAR Community Climate Model (CCMM1). NCAR Tech. Note NCAR/TN-285+STR, 112 pp. [Available from National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80303.]
60. Xu, K.-M., 1993: Cumulus ensemble simulation. The Representation of Cumulus Convection in Numerical Models, Meteor. Monogr., No. 46, Amer. Meteor. Soc., 221-235.
61. Zhang, D.-L., and R. A. Anthes, 1982: A high-resolution model of the planetary boundary layer-sensitivity tests and comparisons with SESAME-79 data. J. Appl. Meteor., 21, 1594-1609.
62. _, E.-Y. Hsie, and M. W. Moncrieff, 1988: A comparison of explicit and implicit prediction of convective and stratiform precipitating weather systems with a meso-β scale numerical model. Quart. J. Roy. Meteor. Soc., 114, 31-60.