The Meteorological Model BOLAM at the National Observatory of Athens: Assessment of Two-Year Operational Use

K. Lagouvardos Institute of Environmental Research and Sustainable Development, National Observatory of Athens, Athens, Greece

Search for other papers by K. Lagouvardos in
Current site
Google Scholar
PubMed
Close
,
V. Kotroni Institute of Environmental Research and Sustainable Development, National Observatory of Athens, Athens, Greece

Search for other papers by V. Kotroni in
Current site
Google Scholar
PubMed
Close
,
A. Koussis Institute of Environmental Research and Sustainable Development, National Observatory of Athens, Athens, Greece

Search for other papers by A. Koussis in
Current site
Google Scholar
PubMed
Close
,
H. Feidas Institute of Environmental Research and Sustainable Development, National Observatory of Athens, Athens, Greece

Search for other papers by H. Feidas in
Current site
Google Scholar
PubMed
Close
,
A. Buzzi Institute of Atmospheric Sciences and Climate, CNR, Bologna, Italy

Search for other papers by A. Buzzi in
Current site
Google Scholar
PubMed
Close
, and
P. Malguzzi Institute of Atmospheric Sciences and Climate, CNR, Bologna, Italy

Search for other papers by P. Malguzzi in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Since November 1999, the hydrostatic meteorological Bologna Limited-Area Model (BOLAM) has been running operationally at the National Observatory of Athens. The assessment of the model forecast skill during the 2-yr period included (a) calculation of the root-mean-square errors (model vs gridded analyses) of geopotential height and temperature at 850 and 500 hPa, (b) evaluation of the model's quantitative precipitation forecast skill for the most important events, and (c) evaluation of the model skill in the prediction of surface winds in comparison with buoy observations. Comparison of the verification results with those provided in the literature showed that BOLAM has a high forecast skill, even for precipitation, which is the most difficult parameter to forecast. Especially for precipitation, the comparison between coarse (∼21 km) and fine (∼6.5 km) grid spacing forecasts showed that for the low and medium precipitation amounts, the finer-grid forecasts are not as good as the coarse-grid forecasts. For the large precipitation amounts, the calculated statistical scores provide only little support of the idea that the fine-grid forecasts are better than those of the coarse grid because the fine-grid forecasts give better scores only for the quantity bias and the mean absolute error.

Corresponding author address: Dr. K. Lagouvardos, Institute of Environmental Research and Sustainable Development, National Observatory of Athens, Lofos Koufou, P. Pendeli, 15236 Athens, Greece. lagouvar@meteo.noa.gr

Abstract

Since November 1999, the hydrostatic meteorological Bologna Limited-Area Model (BOLAM) has been running operationally at the National Observatory of Athens. The assessment of the model forecast skill during the 2-yr period included (a) calculation of the root-mean-square errors (model vs gridded analyses) of geopotential height and temperature at 850 and 500 hPa, (b) evaluation of the model's quantitative precipitation forecast skill for the most important events, and (c) evaluation of the model skill in the prediction of surface winds in comparison with buoy observations. Comparison of the verification results with those provided in the literature showed that BOLAM has a high forecast skill, even for precipitation, which is the most difficult parameter to forecast. Especially for precipitation, the comparison between coarse (∼21 km) and fine (∼6.5 km) grid spacing forecasts showed that for the low and medium precipitation amounts, the finer-grid forecasts are not as good as the coarse-grid forecasts. For the large precipitation amounts, the calculated statistical scores provide only little support of the idea that the fine-grid forecasts are better than those of the coarse grid because the fine-grid forecasts give better scores only for the quantity bias and the mean absolute error.

Corresponding author address: Dr. K. Lagouvardos, Institute of Environmental Research and Sustainable Development, National Observatory of Athens, Lofos Koufou, P. Pendeli, 15236 Athens, Greece. lagouvar@meteo.noa.gr

Save
  • Bacchi, B. and R. Ranzi. Eds.,. 2000. RAPHAEL—Runoff and atmospheric processes for flood hazard forecasting and control. Final Rep. to EC, Directorate General XII, Programme Environment and Climate 1994–1998, Contract ENV4-CT97-0552.

    • Search Google Scholar
    • Export Citation
  • Belair, S., A. Methot, J. Mailhot, B. Bilodeau, A. Patoine, G. Pellerin, and J. Cote. 2000. Operational implementation of the Fritsch–Chappell convective scheme in the 24-km Canadian regional model. Wea. Forecasting 15:257274.

    • Search Google Scholar
    • Export Citation
  • Bromwich, D., J. Cassano, T. Klein, G. Heinemann, K. Hines, K. Steffen, and J. Box. 2001. Mesoscale modeling of katabatic winds over Greenland with the Polar MM5. Mon. Wea. Rev. 129:22902309.

    • Search Google Scholar
    • Export Citation
  • Brooks, H. E. and C. A. Doswell. 1996. A comparison of measures-oriented and distributions-oriented approaches to forecast verification. Wea. Forecasting 11:288303.

    • Search Google Scholar
    • Export Citation
  • Buzzi, A. and L. Foschini. 2000. Mesoscale meteorological features associated with heavy precipitation in the southern Alpine region. Meteor. Atmos. Phys. 72:131146.

    • Search Google Scholar
    • Export Citation
  • Buzzi, A., M. Fantini, P. Malguzzi, and F. Nerozzi. 1994. Validation of a limited area model in cases of Mediterranean cyclogenesis: Surface fields and precipitation scores. Meteor. Atmos. Phys. 53:137153.

    • Search Google Scholar
    • Export Citation
  • Buzzi, A., R. Cadelli, and P. Malguzzi. 1997. Low level jet simulation over the Antarctic Ocean. Tellus 49A:263276.

  • Buzzi, A., N. Tartaglione, and P. Malguzzi. 1998. Numerical simulations of the 1994 Piedmont flood: Role of orography and moist processes. Mon. Wea. Rev. 126:23692383.

    • Search Google Scholar
    • Export Citation
  • Colle, B., C. F. Mass, and K. J. Westrick. 2000. MM5 precipitation verification over the Pacific Northwest during the 1997–99 cool seasons. Wea. Forecasting 15:730744.

    • Search Google Scholar
    • Export Citation
  • Ducrocq, V., D. Ricard, J-P. Lafore, and F. Orain. 2002. Storm-scale numerical rainfall prediction for five precipitating events over France: On the importance of the initial humidity field. Wea. Forecasting 17:12361256.

    • Search Google Scholar
    • Export Citation
  • ECMWF, 2000. Application and verification of ECMWF products in member states and co-operating states. ECMWF Rep., 172 pp.

  • Ferretti, R., T. Paolucci, W. Zheng, G. Visconti, and P. Bonelli. 2000. Analyses of the precipitation pattern on the Alpine region using different cumulus convection parameterizations. J. Appl. Meteor. 39:182200.

    • Search Google Scholar
    • Export Citation
  • Georgelin, M. Coauthors,. 2000. The second COMPARE exercise: A model intercomparison using a case of a typical mesoscale orographic flow, the PYREX IOP3. Quart. J. Roy. Meteor. Soc. 126:9911030.

    • Search Google Scholar
    • Export Citation
  • Ghelli, A. and F. Lalaurette. 2000. Verifying precipitation forecasts using upscaled observations. ECMWF Newsl. 87:917.

  • Gyakum, J. R. Coauthors,. 1996. A regional model intercomparison using a case of explosive oceanic cyclogenesis. Wea. Forecasting 11:521543.

    • Search Google Scholar
    • Export Citation
  • Hanna, S. R. and R. Yang. 2001. Evaluations of mesoscale models' simulations of near-surface winds, temperature gradients, and mixing depths. J. Appl. Meteor. 40:10951104.

    • Search Google Scholar
    • Export Citation
  • Kain, J. S. and J. M. Fritsch. 1990. A one-dimensional entraining/detraining plume model and its application in convective parameterization. J. Atmos. Sci. 47:27842802.

    • Search Google Scholar
    • Export Citation
  • Kain, J. S. and J. M. Fritsch. 1993. Convective parameterization for mesoscale models: The Kain–Fritsch scheme. The Representation of Cumulus in Numerical Models, Meteor. Monogr., No. 46, Amer. Meteor. Soc., 165–177.

    • Search Google Scholar
    • Export Citation
  • Kotroni, V. and K. Lagouvardos. 2001. Precipitation forecast skill of different convective parameterization and microphysical schemes: Application for the cold season over Greece. Geophys. Res. Lett. 28:19771980.

    • Search Google Scholar
    • Export Citation
  • Koussis, A. D. Coauthors,. 2003. Flood forecasts for urban basin with integrated hydrometeorological model. J. Hydrol. Eng. 8:111.

  • Kuo, Y. H., R. J. Reed, and Y. Liu. 1996. The ERICA IOP5 storm. Part III: Mesoscale cyclogenesis and precipitation parameterization. Mon. Wea. Rev. 124:14091434.

    • Search Google Scholar
    • Export Citation
  • Lehmann, R. 1992. On the choice of relaxation coefficients for Davies lateral boundary scheme for regional weather prediction models. Meteor. Atmos. Phys. 52:114.

    • Search Google Scholar
    • Export Citation
  • Louis, J. F. 1979. A parametric model of vertical eddy fluxes in the atmosphere. Bound.-Layer Meteor. 17:187202.

  • Louis, J. F., M. Tiedtke, and J. F. Geleyn. 1982. A short history of the PBL parameterization at ECMWF. Proc. ECMWF Workshop on PBL Parameterization, Reading, United Kingdom, ECMWF, 59–80.

    • Search Google Scholar
    • Export Citation
  • Malguzzi, P. and N. Tartaglione. 1999. An economical second order advection scheme for numerical weather prediction. Quart. J. Roy. Meteor. Soc 125:22912304.

    • Search Google Scholar
    • Export Citation
  • Mass, C. F., D. Ovens, K. Westrick, and B. Colle. 2002. Does increasing horizontal resolution produce more skillful forecasts? Bull. Amer. Meteor. Soc. 83:407430.

    • Search Google Scholar
    • Export Citation
  • Mesinger, F. 1996. Improvements in quantitative precipitation forecasts with the Eta regional model at the National Centers for Environmental Prediction: The 48-km upgrade. Bull. Amer. Meteor. Soc. 77:26372649.

    • Search Google Scholar
    • Export Citation
  • Mesinger, F., T. L. Black, D. W. Plummer, and J. H. Ward. 1990. Eta Model precipitation forecasts for a period including Tropical Storm Allison. Wea. Forecasting 5:483493.

    • Search Google Scholar
    • Export Citation
  • Nagata, M. Coauthors,. 2001. A mesoscale model intercomparison: A case of explosive development of a tropical cyclone (COMPARE III). J. Meteor. Soc. Japan 79:9991033.

    • Search Google Scholar
    • Export Citation
  • Ritter, B. and J. F. Geleyn. 1992. A comprehensive radiation scheme for numerical weather prediction models with potential applications in climate simulations. Mon. Wea. Rev. 120:303325.

    • Search Google Scholar
    • Export Citation
  • Saulo, A. C., M. Seluchi, C. Campetella, and L. Ferreira. 2001. Error evaluation of NCEP and LAHM regional model daily forecasts over southern South America. Wea. Forecasting 16:697712.

    • Search Google Scholar
    • Export Citation
  • Schultz, P. 1995. An explicit cloud physics parameterization for operational numerical weather prediction. Mon. Wea. Rev. 123:33313343.

    • Search Google Scholar
    • Export Citation
  • Spencer, P. L. and D. J. Stensrud. 1998. Flash flood events: Importance of the subgrid representation of convection. Mon. Wea. Rev. 126:28842912.

    • Search Google Scholar
    • Export Citation
  • Wang, W. and N. L. Seaman. 1997. A comparison study of convective parameterization schemes in a mesoscale model. Mon. Wea. Rev. 125:252278.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 725 370 49
PDF Downloads 252 104 19