Evaluating an Objective Wind Analysis Technique with a Long Record of Routinely Collected Data

Francis L. Ludwig Environmental Fluid Mechanics Laboratory, Department of Civil and Environmental Engineering, Stanford University, Stanford, California

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Douglas Sinton Department of Meteorology, San Jose State University, San Jose, California

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Abstract

An automated system has collected meteorological data hourly in the San Francisco Bay Area since October 1995. Data from sites operated by the National Weather Service, Federal Aviation Administration, U.S. Navy, U.S. Air Force, the San Francisco Bay Area Air Quality Management District, and others have been integrated into a common database and archived by the U.S. Geological Survey. Data for 0300 and 1500 UTC during 1996 were taken from that archive and used to evaluate the performance of the Winds on Critical Streamline Surfaces objective analysis code in this area of complex terrain, where altitudes range from 0 to over 1000 m above mean sea level. The comparisons of observed and modeled winds are for a longer time period and a wider variety of meteorological conditions than are available from limited-duration field studies. The authors chose 4-, 7-, and 11-station “networks” for analysis; there were 461 h when data were available from all the sites in the 4-station network, 439 h for the 7 stations, and 343 for the 11 stations. The essential features of the model are described, and examples are given to show how changing some of the features affects the comparisons between modeled and observed winds. The effects of increasing the number of stations used for the analyses also are discussed. The model evaluation techniques described here can be applied to wind analyses from any source, but application certainly is more feasible with simple diagnostic models that can be run repeatedly so that sensitivities and performance changes can be examined. The performances of more complex models also can be compared with these results to determine if their greater complexity produces significant improvements.

Corresponding author address: Francis L. Ludwig, Environmental Fluid Mechanics Laboratory, Dept. of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305-4020.

Abstract

An automated system has collected meteorological data hourly in the San Francisco Bay Area since October 1995. Data from sites operated by the National Weather Service, Federal Aviation Administration, U.S. Navy, U.S. Air Force, the San Francisco Bay Area Air Quality Management District, and others have been integrated into a common database and archived by the U.S. Geological Survey. Data for 0300 and 1500 UTC during 1996 were taken from that archive and used to evaluate the performance of the Winds on Critical Streamline Surfaces objective analysis code in this area of complex terrain, where altitudes range from 0 to over 1000 m above mean sea level. The comparisons of observed and modeled winds are for a longer time period and a wider variety of meteorological conditions than are available from limited-duration field studies. The authors chose 4-, 7-, and 11-station “networks” for analysis; there were 461 h when data were available from all the sites in the 4-station network, 439 h for the 7 stations, and 343 for the 11 stations. The essential features of the model are described, and examples are given to show how changing some of the features affects the comparisons between modeled and observed winds. The effects of increasing the number of stations used for the analyses also are discussed. The model evaluation techniques described here can be applied to wind analyses from any source, but application certainly is more feasible with simple diagnostic models that can be run repeatedly so that sensitivities and performance changes can be examined. The performances of more complex models also can be compared with these results to determine if their greater complexity produces significant improvements.

Corresponding author address: Francis L. Ludwig, Environmental Fluid Mechanics Laboratory, Dept. of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305-4020.

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  • Baskett, R. L., R. L. Lee, W. A. Nuss, R. D. Bornstein, D. W. Reynolds, T. Umeda, and F. L. Ludwig, 1998: The Bay Area Mesonet Initiative (BAMI): A cooperative effort to develop and operate a real-time mesoscale network in the greater San Francisco and Monterey Bay Areas. Preprints, Second Conf. on Coastal Atmospheric and Oceanic Prediction and Processes, Phoenix, AZ, Amer. Meteor. Soc., J30–J35.

  • Bhumralkar, C. M., R. L Mancuso, F. L. Ludwig, and D. S. Renne, 1980: A practical and economic method for estimating wind characteristics at potential wind energy conversion sites. Sol. Energy,25, 55–65.

  • Bridger, A. F. C., A. J. Becker, F. L. Ludwig, and R. M. Endlich, 1994: Evaluation of the WOCSS wind analysis scheme for the San Francisco Bay Area. J. Appl. Meteor.,33, 1210–1218.

  • Endlich, R. M., 1967: An iterative method for altering the kinematic properties of wind fields. J. Appl. Meteor.,6, 837–844.

  • Endlich, R. M., 1984: Wind energy estimates by use of a diagnostic model. Bound.-Layer Meteor.,30, 375–386.

  • Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc.,77, 437–471.

  • Ludwig, F. L., J. M. Livingston, and R. M. Endlich, 1991: Use of mass conservation and critical dividing streamline concepts for efficient objective analysis of winds in complex terrain. J. Appl. Meteor.,30, 1490–1499.

  • Ludwig, F. L., R. T. Cheng, J. Feinstein, D. M. Sinton, and A. Becker, 1997:An on-line diagnostic wind model applied to the San Francisco Bay region. Preprints, 13th Int. Conf. on Interactive Information and Processing Systems (IIIPS) for Meteorology, Oceanography, and Hydrology, Long Beach, CA, Amer. Meteor. Soc., 344–347.

  • McNider, R. T., K. E. Johnson, and R. W. Arritt, 1984: Transferability of critical dividing streamline models to larger scale terrain. Preprints, Fourth Joint Conf. on Applications of Air Pollution Meteorology, Portland, OR, Amer. Meteor. Soc., J25–J27.

  • Parsons, D. B., and J. Dudhia, 1997: Observing system simulation experiments and objective analysis tests in support of the goals of the Atmospheric Radiation Measurement Program. Mon. Wea. Rev.,125, 2353–2381.

  • Sheppard, P. A., 1956: Air flow over mountains. Quart. J. Roy. Meteor. Soc.,82, 528–529.

  • Sherman, C. A., 1978: A mass-consistent model for wind fields over complex terrain. J. Appl. Meteor.,17, 312–319.

  • Strach, W., F. L. Ludwig, D. Sinton, and A. Becker, 1997: Applications of a diagnostic wind model to stratus forecasting for aircraft operations in the San Francisco Bay region. Preprints, Seventh Conf. on Aviation Weather Systems, Long Beach, CA, Amer. Meteor. Soc., J29–J32.

  • Thykier-Nielsen, S., T. Mikkelsen, R. Kamada, and S. A. Drake, 1990:Wind flow model study for complex terrain. Preprints, Ninth Symp. on Turbulence and Diffusion, Copenhagen, Denmark, Amer. Meteor. Soc., 421–424.

  • Tucker, D. F., 1997: Surface mesonets of the western United States. Bull. Amer. Meteor. Soc.,78, 1485–1495.

  • Velleman, P. F., 1997: Data Desk, Version 6.0, Handbook 2. Data Description, Inc., 346 pp.

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