Editorial Type:
Article
Article Type:
Research Article

Analyses of the Precipitation Pattern on the Alpine Region Using Different Cumulus Convection Parameterizations

Rossella Ferretti Department of Physics, University of L’Aquila, Coppito-L’Aquila, Italy

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Tiziana Paolucci Department of Physics, University of L’Aquila, Coppito-L’Aquila, Italy

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W. Zheng Department of Physics, University of L’Aquila, Coppito-L’Aquila, Italy

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Guido Visconti Department of Physics, University of L’Aquila, Coppito-L’Aquila, Italy

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P. Bonelli Enel-Cram, Milan, Italy

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Print Publication:
01 Feb 2000
DOI:
https://doi.org/10.1175/1520-0450(2000)039<0182:AOTPPO>2.0.CO;2
Page(s):
182–200
Restricted access

Abstract

The analysis of several precipitation events occurring during June 1990 in the Alpine region is performed using the Pennsylvania State University–National Center for Atmospheric Research Fifth-Generation Mesoscale Model, version 1. A high-resolution dataset provided by Monitoring Precipitation Activity in the Padana Region observational campaign (June 1990) is used to verify the model forecast.

Comparisons between model simulations, using different cumulus convective schemes associated with either an explicit computation of cloud water and rain (EXP) or a nonconvective scheme (NEXP), have been performed. The comparisons of EXP versus NEXP give indications of the ability of a cumulus scheme to handle nonconvective precipitation. On the other hand, comparing the schemes allows for evaluation of the ability to reproduce total and convective precipitation. The results show that the amount and the areal extent of the total precipitation are well reproduced if a cumulus scheme is associated with EXP; the differences between the simulations performed using EXP and NEXP are reduced if the precipitation is driven by a strong large-scale forcing such as a front. The comparison of the cumulus convection parameterizations highlights the different responses of the schemes to the meteorological situation. When the explicit computation of cloud water and rain is used, a good localization of the rain cells and a fair estimation of the amount of precipitation are obtained using either the Kain–Fritsch or the Grell cumulus convection parameterizations. On the other hand, the Anthes–Kuo scheme produces a strong overestimation of the precipitation regardless of the meteorological forcing and with both EXP and NEXP. The bias and the threat score for the cases analyzed confirm this finding.

Sensitivities to different initial conditions for the same case show that the precipitation forecast depends on the strength of the signal contained in the initial conditions.

* Current affiliation: Nanjing University, Nanjing, China.

Corresponding author address: Dr. Rossella Ferretti, Department of Physics, University of L’Aquila, Via Vetoio, 67010 Coppito-L’Aquila, Italy.

Abstract

The analysis of several precipitation events occurring during June 1990 in the Alpine region is performed using the Pennsylvania State University–National Center for Atmospheric Research Fifth-Generation Mesoscale Model, version 1. A high-resolution dataset provided by Monitoring Precipitation Activity in the Padana Region observational campaign (June 1990) is used to verify the model forecast.

Comparisons between model simulations, using different cumulus convective schemes associated with either an explicit computation of cloud water and rain (EXP) or a nonconvective scheme (NEXP), have been performed. The comparisons of EXP versus NEXP give indications of the ability of a cumulus scheme to handle nonconvective precipitation. On the other hand, comparing the schemes allows for evaluation of the ability to reproduce total and convective precipitation. The results show that the amount and the areal extent of the total precipitation are well reproduced if a cumulus scheme is associated with EXP; the differences between the simulations performed using EXP and NEXP are reduced if the precipitation is driven by a strong large-scale forcing such as a front. The comparison of the cumulus convection parameterizations highlights the different responses of the schemes to the meteorological situation. When the explicit computation of cloud water and rain is used, a good localization of the rain cells and a fair estimation of the amount of precipitation are obtained using either the Kain–Fritsch or the Grell cumulus convection parameterizations. On the other hand, the Anthes–Kuo scheme produces a strong overestimation of the precipitation regardless of the meteorological forcing and with both EXP and NEXP. The bias and the threat score for the cases analyzed confirm this finding.

Sensitivities to different initial conditions for the same case show that the precipitation forecast depends on the strength of the signal contained in the initial conditions.

* Current affiliation: Nanjing University, Nanjing, China.

Corresponding author address: Dr. Rossella Ferretti, Department of Physics, University of L’Aquila, Via Vetoio, 67010 Coppito-L’Aquila, Italy.

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Journal of Applied Meteorology and Climatology

  • Anthes, R. A., 1977: A cumulus parameterization scheme utilizing a one-dimensional cloud model. Mon. Wea. Rev.,105, 270–286.

  • Anthes, R. A., and T. T. Warner, 1978: Development of hydrostatic models suitable for air pollution and other mesometeorological studies. Mon. Wea. Rev.,106, 1045–1078.

  • Anthes, R. A., Y.-H. Kuo, and J. R. Gyakum, 1983: Numerical simulations of a case of explosive cyclogenesis. Mon. Wea. Rev.,111, 1174–1188.

  • Anthes, R. A., 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 NCAR, P.O. Box 3000, Boulder, CO 80307.].

  • 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.

  • Bluestein, H. B., 1992: Synoptic–Dynamic Meteorology in Midlatitudes. Volume 1: Principles of Kinematics and Dynamics. Oxford University Press, 431 pp.

  • Buzzi, A., C. Cacciamani, T. Paccagnella, P. Patruno, and N. Tartaglione, 1995: Preliminary meteorological analysis of the Piedmont flood of November 1994. MAP Newsl.,2, 2–6.

  • Ferretti, R., P. Antonelli, and G. Visconti, 1996: Preliminary results of the Piedmont flood of 4–6 November 1994. MAP Newsl.,5, 50–51.

  • Fritsch, J. M., and C. F. Chappell, 1980: Numerical prediction of convectively driven mesoscale pressure systems. Part I: Convective parameterization. J. Atmos. Sci.,37, 1722–1733.

  • Grell, G. A., 1993: Prognostic evaluation of assumptions used by cumulus parameterization. Mon. Wea. Rev.,121, 764–787.

  • Grell, G. A., J. Dudhia, and D. R. Stauffer, 1994: A description of the Fifth-Generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note NCAR/TN-398+STR, 122 pp. [Available from NCAR, P.O. Box 3000, Boulder, CO 80307.].

  • Hsie, E. Y., 1984: Simulation of frontogenesis in a moist atmosphere using alternative parameterization of condensation and precipitation. J. Atmos. Sci.,41, 2701–2716.

  • Kain, J. S., and J. M. Fritsch, 1990: A one-dimensional entraining/detraining plume model and its application in convective parameterization. J. Atmos. Sci.,47, 2784–2802.

  • Kuo, H. L., 1974: Further studies of the parameterization of the influence of cumulus convection on large-scale flow. J. Atmos. Sci.,31, 1232–1240.

  • Kuo, Y.-H., and R. A. Anthes, 1984: Semiprognostic tests of Kuo-type cumulus parameterization schemes in an extratropical convective system. Mon. Wea. Rev.,112, 1498–1509.

  • Kuo, Y.-H., and R. J. Reed, 1988: Numerical simulation of an explosively deepening cyclone in the eastern Pacific. Mon. Wea. Rev.,116, 2082–2105.

  • Kuo, Y.-H., and S. Low-Nam, 1990: Prediction of nine explosive cyclones over the western Atlantic Ocean with a regional model. Mon. Wea. Rev.,118, 3–25.

  • Kuo, Y.-H., R. J. Reed, and Y. Liu, 1996: The ERICA IOP 5 storm. Part III: Mesoscale cyclogenesis and precipitation parameterization. Mon. Wea. Rev.,124, 1409–1434.

  • Lord, S., 1978: Development and observational verification of a cumulus cloud parameterization. Ph.D. dissertation, University of California, Los Angeles, 359 pp.

  • Molinari, J., and M. Dudek, 1992: Parameterization in mesoscale numerical models: A critical review. Mon. Wea. Rev.,120, 326–344.

  • Paccagnella, T., S. Tibaldi, R. Buizza, and S. Scoccianti, 1992: High-resolution numerical modelling of convective precipitation over northern Italy. Meteor. Atmos. Phys.,50, 143–163.

  • Paccagnella, T., P. Patruno, and C. Cacciamani, 1995: Operational quantitative precipitation forecast of the Piedmont flood event at the Regional Meteorological Service of Emilia-Romagna. MAP Newsl.,2, 7–11.

  • Paolucci, T., R. Ferretti, and G. Visconti, 1997: Numerical simulations of summer convective precipitation cases in the Alpine region using different parameterizations: Preliminary results. Preprints, Seventh PSU/NCAR Mesoscale Model User’s Workshop, MMM Division, NCAR, 64–67.

  • Reed, R. J., M. D. Albright, A. J. Simmons, and P. Unden, 1988: The role of latent heat release in explosive cyclogenesis: Three examples based on ECMWF forecast. Wea. Forecasting,3, 217–229.

  • Wang, W., and N. L. Seaman, 1997: A comparison study of convective parameterization schemes in a mesoscale model. Mon. Wea. Rev.,1275, 252–278.

  • 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.

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