• Benjamin, S. G., , G. A. Grell, , J. M. Brown, , T. G. Smirnova, , and R. Bleck, 2004: Mesoscale weather prediction with the RUC hybrid isentropic–terrain-following coordinate model. Mon. Wea. Rev., 132 , 473494.

    • Search Google Scholar
    • Export Citation
  • Brier, G. W., 1950: Verification of forecasts expressed in terms of probability. Mon. Wea. Rev., 78 , 13.

  • Brock, F. V., , K. C. Crawford, , R. L. Elliott, , G. W. Cuperus, , S. J. Stadler, , H. L. Johnson, , and M. D. Eilts, 1995: The Oklahoma Mesonet: A technical overview. J. Atmos. Oceanic Technol., 12 , 519.

    • Search Google Scholar
    • Export Citation
  • Cressman, G. P., 1959: An operational objective analysis system. Mon. Wea. Rev., 87 , 367374.

  • Eckel, F. A., , and C. F. Mass, 2005: Aspects of effective mesoscale, short-range ensemble forecasting. Wea. Forecasting, 20 , 328350.

  • Hamill, T. M., , and S. J. Colucci, 1998: Evaluation of Eta–RSM ensemble probabilistic precipitation forecasts. Mon. Wea. Rev., 126 , 711724.

    • Search Google Scholar
    • Export Citation
  • Juang, H-M. H., , S-Y. Hong, , and M. Kanamitsu, 1997: The NCEP Regional Spectral Model: An update. Bull. Amer. Meteor. Soc., 78 , 21252143.

    • Search Google Scholar
    • Export Citation
  • Klemp, J., 2004: Next-generation mesoscale modeling: A technical overview of WRF. Preprints, 20th Conf. on Weather Analysis and Forecasting, Seattle, WA, Amer. Meteor. Soc., CD-ROM, 11.2.

  • MacDermaid, C., , R. C. Lipschutz, , P. Hildreth, , R. A. Ryan, , A. B. Stanley, , M. F. Barth, , and P. A. Miller, 2005: Architecture of MADIS data processing and distribution at FSL. Preprints, 21st Int. Conf. on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, San Diego, CA, Amer. Meteor. Soc., CD-ROM, P2.39.

  • McQueen, J., , J. Du, , B. Zhou, , G. Manikin, , B. Ferrier, , H-Y. Chuang, , G. DiMego, , and Z. Toth, 2005: Recent upgrades to the NCEP Short Range Ensemble Forecasting System (SREF) and future plans. Preprints, 17th Conf. on Numerical Weather Prediction, Washington, DC, Amer. Meteor. Soc., 11A.2.

  • Mullen, S. L., , and R. Buizza, 2001: Quantitative precipitation forecasts over the United States by the ECMWF Ensemble Prediction System. Mon. Wea. Rev., 129 , 638663.

    • Search Google Scholar
    • Export Citation
  • Myrick, D. T., , J. D. Horel, , and S. M. Lazarus, 2005: Local adjustment of the background error correlation for surface analyses over complex terrain. Wea. Forecasting, 20 , 149160.

    • Search Google Scholar
    • Export Citation
  • Rogers, E., , T. Black, , D. Deaven, , G. Dimego, , Q. Zhao, , M. Baldwin, , N. Junker, , and Y. Lin, 1996: Changes to the operational “early” Eta Analysis/Forecast System at the National Centers for Environmental Prediction. Wea. Forecasting, 11 , 391413.

    • Search Google Scholar
    • Export Citation
  • Shafer, M. A., , C. A. Fiebrich, , D. S. Arndt, , S. E. Fredrickson, , and T. W. Hughes, 2000: Quality assurance procedures in the Oklahoma Mesonetwork. J. Atmos. Oceanic Technol., 17 , 474494.

    • Search Google Scholar
    • Export Citation
  • Stauffer, D. R., , and N. L. Seaman, 1994: Multiscale four-dimensional data assimilation. J. Appl. Meteor., 33 , 416434.

  • Stensrud, D. J., , and N. Yussouf, 2003: Short-range ensemble predictions of 2-m temperature and dewpoint temperature over New England. Mon. Wea. Rev., 131 , 25102524.

    • Search Google Scholar
    • Export Citation
  • Stensrud, D. J., , and N. Yussouf, 2005: Bias-corrected short-range ensemble forecasts of near surface variables. Meteor. Appl., 12 , 217230.

    • Search Google Scholar
    • Export Citation
  • Stensrud, D. J., and Coauthors, 2006: The New England High-Resolution Temperature Program (NEHRTP). Bull. Amer. Meteor. Soc., 87 .491–498.

    • Search Google Scholar
    • Export Citation
  • Wilks, D. S., 1995: Statistical Methods in the Atmospheric Sciences: An Introduction. Academic Press, 467 pp.

  • Woodcock, F., , and C. Engel, 2005: Operational consensus forecasts. Wea. Forecasting, 20 , 101111.

  • Zhang, D-L., , and W-Z. Zheng, 2004: Diurnal cycles of surface winds and temperatures as simulated by five boundary layer parameterizations. J. Appl. Meteor., 43 , 157169.

    • Search Google Scholar
    • Export Citation
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Prediction of Near-Surface Variables at Independent Locations from a Bias-Corrected Ensemble Forecasting System

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  • 1 Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/OAR/National Severe Storms Laboratory, Norman, Oklahoma
  • | 2 NOAA/National Severe Storms Laboratory, Norman, Oklahoma
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Abstract

The ability of a multimodel short-range bias-corrected ensemble (BCE) forecasting system, created as part of NOAA’s New England High Resolution Temperature Program during the summer of 2004, to obtain accurate predictions of near-surface variables at independent locations within the model domain is explored. The original BCE approach produces bias-corrected forecasts only at National Weather Service (NWS) observing surface station locations. To extend this approach to obtain bias-corrected forecasts at any given location, an extended BCE technique is developed and applied to the independent observations provided by the Oklahoma Mesonet. First, a Cressman weighting scheme is used to interpolate the bias values of 2-m temperature, 2-m dewpoint temperature, and 10-m wind speeds calculated from the original BCE approach at the NWS observation station locations to the Oklahoma Mesonet locations. These bias values are then added to the raw numerical model forecasts bilinearly interpolated to this same specified location. This process is done for each forecast member within the ensemble and at each forecast time. It is found that the performance of the extended BCE is very competitive with the original BCE approach across the state of Oklahoma. Therefore, a simple postprocessing scheme like the extended BCE system can be used as part of an operational forecasting system to provide reasonably accurate predictions of near-surface variables at any location within the model domain.

Corresponding author address: Nusrat Yussouf, NSSL/FRDD, National Weather Center, 120 David L. Boren Blvd., Norman, OK 73072. Email: nusrat.yussouf@noaa.gov

Abstract

The ability of a multimodel short-range bias-corrected ensemble (BCE) forecasting system, created as part of NOAA’s New England High Resolution Temperature Program during the summer of 2004, to obtain accurate predictions of near-surface variables at independent locations within the model domain is explored. The original BCE approach produces bias-corrected forecasts only at National Weather Service (NWS) observing surface station locations. To extend this approach to obtain bias-corrected forecasts at any given location, an extended BCE technique is developed and applied to the independent observations provided by the Oklahoma Mesonet. First, a Cressman weighting scheme is used to interpolate the bias values of 2-m temperature, 2-m dewpoint temperature, and 10-m wind speeds calculated from the original BCE approach at the NWS observation station locations to the Oklahoma Mesonet locations. These bias values are then added to the raw numerical model forecasts bilinearly interpolated to this same specified location. This process is done for each forecast member within the ensemble and at each forecast time. It is found that the performance of the extended BCE is very competitive with the original BCE approach across the state of Oklahoma. Therefore, a simple postprocessing scheme like the extended BCE system can be used as part of an operational forecasting system to provide reasonably accurate predictions of near-surface variables at any location within the model domain.

Corresponding author address: Nusrat Yussouf, NSSL/FRDD, National Weather Center, 120 David L. Boren Blvd., Norman, OK 73072. Email: nusrat.yussouf@noaa.gov

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