Forecasting Peak Wind Gusts Using Meteorologically Stratified Gust Factors and MOS Guidance

被引:11
|
作者
Kahl, Jonathan D. W. [1 ]
机构
[1] Univ Wisconsin Milwaukee, Dept Math Sci, Atmospher Sci Grp, Milwaukee, WI 53201 USA
关键词
Boundary layer; Wind gusts; Forecasting techniques; Operational forecasting; Wind effects; MODEL OUTPUT STATISTICS; SPEEDS;
D O I
10.1175/WAF-D-20-0045.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Gust prediction is an important element of weather forecasting services, yet reliable methods remain elusive. Peak wind gusts estimated by the meteorologically stratified gust factor (MSGF) model were evaluated at 15 locations across the United States during 2010-17. This model couples gust factors, site-specific climatological measures of "gustiness," with wind speed and direction forecast guidance. The model was assessed using two forms of model output statistics (MOS) guidance at forecast projections ranging from 1 to 72 h. At 11 of 15 sites the MSGF model showed skill (improvement over climatology) in predicting peak gusts out to projections of 72 h. This has important implications for operational wind forecasting because the method can be utilized at any location for which the meteorologically stratified gust factors have been determined. During particularly windy conditions the MSGF model exhibited skill in predicting peak gusts at forecast projections ranging from 6 to 72 h at roughly half of the sites analyzed. Site characteristics and local wind climatologies were shown to exert impacts on gust factor model performance. The MSGF method represents a viable option for the operational prediction of peak wind gusts, although model performance will be sensitive to the quality of the necessary wind speed and direction forecasts.
引用
收藏
页码:1129 / 1143
页数:15
相关论文
共 16 条
  • [1] Meteorologically Stratified Gust Factors for Forecasting Peak Wind Gusts across the United States
    Kahl, Jonathan D. W.
    Selbig, Brandon R.
    Harris, Austin R.
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2021, 102 (09) : E1665 - E1671
  • [2] Gust Factors: Meteorologically Stratified Climatology, Data Artifacts, and Utility in Forecasting Peak Gusts
    Harris, Austin R.
    Kahl, Jonathan D. W.
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2017, 56 (12) : 3151 - 3166
  • [3] Predicting Peak Wind Gusts during Specific Weather Types with the Meteorologically Stratified Gust Factor Model
    Lang, Victoria A.
    Turner, Teresa J.
    Selbig, Brandon R.
    Harris, Austin R.
    Kahl, Jonathan D. W.
    WEATHER AND FORECASTING, 2022, 37 (08) : 1435 - 1446
  • [4] Investigating the Potential of Using Mixdown Altitudes to Forecast Peak Wind Gusts
    Kahl, Jonathan D. W.
    Zaprzalka, Kacper J.
    Brezovar, Danica S.
    Lang, Victoria A.
    Selbig, Brandon R.
    Harris, Austin R.
    WEATHER AND FORECASTING, 2024, 39 (08) : 1203 - 1217
  • [5] Probabilistic Wind Gust Forecasting Using Nonhomogeneous Gaussian Regression
    Thorarinsdottir, Thordis L.
    Johnson, Matthew S.
    MONTHLY WEATHER REVIEW, 2012, 140 (03) : 889 - 897
  • [6] LOCAL PEAK WIND PRESSURE COEFFICIENTS FOR CUBOIDAL BUILDINGS AND CORRESPONDING PRESSURE GUST FACTORS
    WACKER, J
    PLATE, EJ
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 1993, 50 (1-3) : 183 - 192
  • [7] Near ground wind characteristics during typhoon Meari: Turbulence intensities, gust factors, and peak factors
    Xu Wang
    Peng Huang
    Xian-feng Yu
    Chao Huang
    Journal of Central South University, 2017, 24 : 2421 - 2430
  • [8] Near ground wind characteristics during typhoon Meari: Turbulence intensities, gust factors, and peak factors
    Wang Xu
    Huang Peng
    Yu Xian-feng
    Huang Chao
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2017, 24 (10) : 2421 - 2430
  • [9] Near ground wind characteristics during typhoon Meari:Turbulence intensities, gust factors, and peak factors
    王旭
    黄鹏
    余先锋
    黄超
    Journal of Central South University, 2017, 24 (10) : 2421 - 2430
  • [10] Forecasting wind gusts in winter storms using a calibrated convection-permitting ensemble
    Pantillon, Florian
    Lerch, Sebastian
    Knippertz, Peter
    Corsmeier, Ulrich
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2018, 144 (715) : 1864 - 1881