Local-Domain Mesoscale Analysis and Forecast Model Support for the 1996 Centennial Olympic Games

John S. Snook Forecast Systems Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado

Search for other papers by John S. Snook in
Current site
Google Scholar
PubMed
Close
,
Peter A. Stamus Forecast Systems Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado

Search for other papers by Peter A. Stamus in
Current site
Google Scholar
PubMed
Close
,
James Edwards Forecast Systems Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado

Search for other papers by James Edwards in
Current site
Google Scholar
PubMed
Close
,
Zaphiris Christidis IBM, Yorktown Heights, New York

Search for other papers by Zaphiris Christidis in
Current site
Google Scholar
PubMed
Close
, and
John A. McGinley Forecast Systems Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado

Search for other papers by John A. McGinley in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

The National Weather Service (NWS) developed the Olympic Weather Support System (OWSS) to provide specialized operational weather support for the 1996 Centennial Olympic Games in Atlanta. Operational implementation of the National Oceanic and Atmospheric Administration Forecast Systems Laboratory’s Local Analysis and Prediction System (LAPS) was a key element of the OWSS. LAPS is a complete, three-dimensional data assimilation system that produced subhourly atmospheric analyses on an 8-km grid covering all the Olympic venues. The LAPS analyses also provided initial conditions to the Regional Atmospheric Modeling System (RAMS) mesoscale forecast model. RAMS forecasts were generated at least every 3 h using 8- or 2-km grids. For the first time, a comprehensive operational analysis and forecast system operated in a local NWS forecast office to support meso-β-scale forecasts and warnings. Numerous benefits of LAPS–RAMS to the local forecast office were demonstrated. The OWSS, with LAPS–RAMS included, provided a precursory view of the enhanced operational mesoscale forecast capabilities that can be available to the NWS and other forecast offices in the near future.

* Jointly affiliated with the Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado.

Corresponding author address: Dr. John S. Snook, Forecast Systems Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80303.

Email: snook@fsl.noaa.gov

Abstract

The National Weather Service (NWS) developed the Olympic Weather Support System (OWSS) to provide specialized operational weather support for the 1996 Centennial Olympic Games in Atlanta. Operational implementation of the National Oceanic and Atmospheric Administration Forecast Systems Laboratory’s Local Analysis and Prediction System (LAPS) was a key element of the OWSS. LAPS is a complete, three-dimensional data assimilation system that produced subhourly atmospheric analyses on an 8-km grid covering all the Olympic venues. The LAPS analyses also provided initial conditions to the Regional Atmospheric Modeling System (RAMS) mesoscale forecast model. RAMS forecasts were generated at least every 3 h using 8- or 2-km grids. For the first time, a comprehensive operational analysis and forecast system operated in a local NWS forecast office to support meso-β-scale forecasts and warnings. Numerous benefits of LAPS–RAMS to the local forecast office were demonstrated. The OWSS, with LAPS–RAMS included, provided a precursory view of the enhanced operational mesoscale forecast capabilities that can be available to the NWS and other forecast offices in the near future.

* Jointly affiliated with the Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado.

Corresponding author address: Dr. John S. Snook, Forecast Systems Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80303.

Email: snook@fsl.noaa.gov

Save
  • Albers, S. C., 1995: The LAPS wind analysis. Wea. Forecasting,10, 342–352.

  • ——, J. A. McGinley, D. L. Birkenheuer, and J. R. Smart, 1996: The Local Analysis and Prediction System (LAPS): Analysis of clouds, precipitation, and temperature. Wea. Forecasting,11, 273–287.

    • Crossref
    • Export Citation
  • AMS, 1997: Cover figure. Preprints, 13th International Conf. on Interactive and Processing Systems for Meteorology, Oceanography, and Hydrology, Long Beach, CA, Amer. Meteor. Soc.

  • Barnes, S., 1964: A technique for maximizing details in numerical weather map analysis. J. Appl. Meteor.,3, 396–409.

    • Crossref
    • Export Citation
  • Barth, M. F., R. B. Chadwick, and W. M. Faas, 1997: The Forecast Systems Laboratory Boundary Layer Profiler Data Acquisition Project. Preprints, First Symp. on Integrated Observing Systems, Long Beach, CA, Amer. Meteor. Soc., 130–137.

  • Benjamin, S. G., K. A. Brewster, R. Brümmer, B. F. Jewett, T. W. Schlatter, T. L. Smith, and P. A. Stamus, 1991: An isentropic three-hourly data assimilation system using ACARS aircraft data. Mon. Wea. Rev.,119, 888–906.

    • Crossref
    • Export Citation
  • ——, and Coauthors, 1997: Improvements in aviation forecasts from the 40-km RUC. Preprints, Seventh Conf. on Aviation, Range, and Aerospace Meteorology, Long Beach, CA, Amer. Meteor. Soc., 411–416.

  • Birkenheuer, D. L., 1992: The LAPS specific humidity analysis. NOAA Tech. Memo. ERL-FSL-1, NOAA Forecast Systems Laboratory, Boulder, CO, 39 pp. [Available from FSL, 325 Broadway, Boulder, CO 80303-3328; or online from http://www.fsl.noaa.gov.].

  • ——, 1996: Applying satellite gradient moisture information to local-scale water vapor analysis using variational methods. J. Appl. Meteor.,35, 24–35.

    • Crossref
    • Export Citation
  • Black, T. L., 1994: The new NMC mesoscale eta model: Description and forecast examples. Wea. Forecasting,9, 265–278.

    • Crossref
    • Export Citation
  • Brewster K., S. Albers, F. H. Carr, and M. Xiue, 1995: Initializing a nonhydrostatic forecast model using WSR-88D data and OLAPS. Preprints, 27th Conf. on Radar Meteorology, Vail, CO, Amer. Meteor. Soc., 252–254.

  • Christidis, Z., J. Edwards, and J. S. Snook, 1997: Regional weather forecasting in the 1996 Summer Olympic Games using an IBM SP2. Preprints, 13th Int. Conf. on Interactive and Processing Systems for Meteorology, Oceanography, and Hydrology, Long Beach, CA, Amer. Meteor. Soc., 22–25.

  • desJardins, M. L., S. Jacobs, D. Plummer, and S. Schotz, 1997: N-AWIPS: AWIPS at the National Centers for Environmental Prediction. Preprints, 13th Int. Conf. on Interactive and Processing Systems for Meteorology, Oceanography, and Hydrology, Long Beach, CA, Amer. Meteor. Soc., 296–298.

  • Edwards, J., J. S. Snook, and Z. Christidis, 1997: Forecasting for the 1996 Summer Olympic Games with the SMS-RAMS parallel model. Preprints, 13th Int. Conf. on Interactive and Processing Systems for Meteorology, Oceanography, and Hydrology, Long Beach, CA, Amer. Meteor. Soc., 19–21.

  • Garza, C., and G. Hoogenboom, 1996: The integration of diverse environmental data collection systems used in support of the 1996 Summer Olympic Games. Preprints, 12th Int. Conf. on Interactive and Processing Systems for Meteorology, Oceanography, and Hydrology, Atlanta, GA, Amer. Meteor. Soc., 40–42.

  • ——, and ——, 1997: Success experienced in the use of diverse surface weather data collection systems in support of the 1996 Olympic Games. Preprints, 13th Int. Conf. on Interactive and Processing Systems for Meteorology, Oceanography, and Hydrology, Long Beach, CA, Amer. Meteor. Soc., 1–4.

  • Haltiner, G. J., and R. T. Williams, 1980: Numerical Prediction and Dynamic Meteorology. 2d ed. Wiley, 477 pp.

  • Lewis, J. M., 1971: Variational subsynoptic analysis with applications to severe local storms. Mon. Wea. Rev.,99, 786–795.

    • Crossref
    • Export Citation
  • Louis, J. F., 1979: A parametric model of vertical eddy fluxes in the atmosphere. Bound.-Layer Meteor.,17, 187–202.

    • Crossref
    • Export Citation
  • MacDonald, A. E., and J. S. Wakefield, 1996: WFO-Advanced: An AWIPS-like prototype forecast workstation. Preprints, 12th Int. Conf. on Interactive and Processing Systems for Meteorology, Oceanography, and Hydrology, Atlanta, GA, Amer. Meteor. Soc., 190–193.

  • McGinley, J. A., 1982: A diagnosis of alpine lee cyclogenesis. Mon. Wea. Rev.,110, 1271–1287.

    • Crossref
    • Export Citation
  • ——, 1987: Use of satellite IR data in the enhancement of surface thermal fields. Proc. Symp. on Mesoscale Analysis and Forecasting, Vancouver, BC, Canada, ESA SP-282, 123–128.

  • ——, 1995: Opportunities for high resolution data analysis, prediction, and product dissemination within the local weather office. Preprints, 14th Conf. on Weather Analysis and Forecasting, Dallas, TX, Amer. Meteor. Soc., 478–485.

  • ——, and P. A. Stamus, 1996: A quality control scheme for local surface mesonet observations based on the Kalman filter. Preprints, 15th Conf. on Weather Analysis and Forecasting, Norfolk, VA, Amer. Meteor. Soc., 223–226.

  • Molenar, D., K. J. Schrab, J. F. W. Purdom, and H. Gosden, 1996: RAMSDIS in digital satellite data training and analysis. Preprints, 12th Int. Conf. on Interactive and Processing Systems for Meteorology, Oceanography, and Hydrology, Atlanta, GA, Amer. Meteor. Soc., 160–163.

  • Pielke, R. A., and Coauthors, 1992: A comprehensive meteorological modeling system—RAMS. Meteor. Atmos. Phys.,49, 69–91.

    • Crossref
    • Export Citation
  • Rodriguez, B., L. Hart, and T. Henderson, 1996: Parallelizing operational weather forecast models for portable and fast execution. J. Parallel and Distributed Comput.,37, 159–170.

    • Crossref
    • Export Citation
  • Rothfusz, L. P., and M. R. McLaughlin, 1997: Weather support for the XXVI Olympiad. NOAA Tech. Memo. NWS SR-184, National Weather Service, Southern Region, Fort Worth, TX, 70 pp. [Available from National Technical Information Service, U.S. Dept. of Commerce, 5285 Port Royal Road, Springfield VA 22161.].

  • ——, J. T. Johnson, L. C. Safford, M. R. McLaughlin, and S. K. Rinard, 1996: The Olympic Weather Support System. Preprints, 12th Int. Conf. on Interactive and Processing Systems for Meteorology, Oceanography, and Hydrology, Atlanta, GA, Amer. Meteor. Soc., 1–6.

  • Snook, J. S., 1996: Local domain forecasting support to the 1996 Atlanta Olympic Games. Preprints, 12th Int. Conf. on Interactive and Processing Systems for Meteorology, Oceanography, and Hydrology, Atlanta, GA, Amer. Meteor. Soc., 32–35.

  • ——, and R. A. Pielke, 1995: Diagnosing a Colorado heavy snow event with a nonhydrostatic mesoscale numerical model structured for operational use. Wea. Forecasting,10, 261–285.

  • ——, J. M. Cram, and J. M. Schmidt, 1995: LAPS/RAMS: A nonhydrostatic mesoscale numerical modeling system configured for operational use. Tellus,47A, 864–875.

    • Crossref
    • Export Citation
  • Stamus, P. A., L. C. Safford, J. T. Johnson, and L. P. Rothfusz, 1997:The creation and use of “interobservations” for Olympic venues. Preprints, 13th Int. Conf. on Interactive and Processing Systems for Meteorology, Oceanography, and Hydrology, Long Beach, CA, Amer. Meteor. Soc., 15–18.

  • Treinish, L. A., and L. P. Rothfusz, 1997: Three-dimensional visualization for support of operational weather forecasting at the 1996 Centennial Olympic Games. Preprints, 13th Int. Conf. on Interactive and Processing Systems for Meteorology, Oceanography, and Hydrology, Long Beach, CA, Amer. Meteor. Soc., 31–34.

  • Walko, R. L., W. R. Cotton, J. L. Harrington, and M. P. Meyers, 1995:New RAMS cloud microphysics parameterization. Part I: The single-moment scheme. Atmos. Res.,38, 29–62.

    • Crossref
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 271 72 6
PDF Downloads 80 34 9