The impact of mesoscale convective-system potential-vorticity anomalies on numerical-weather-prediction forecasts

被引:0
|
作者
Gray, MEB [1 ]
机构
[1] Met Off, Bracknell RG12 2SY, Berks, England
关键词
inversion; mesoscale convective systems; mid-level cyclonic vortex; potential-vorticity inversion;
D O I
10.1256/smsqj.57104
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The effect of the potential vorticity (PV) anomalies formed by mesoscale convective systems (MCSs) on the downstream how is investigated using a numerical weather prediction (NWP) model. Four case studies of North American MCSs from June and July 1999 are selected in which the MCS PV anomalies are not present in the model analysis. Idealized MCS PV anomalies are introduced into the model analyses and their impact on the NWP model forecast ascertained. In two of the four cases the presence of the MCS PV anomalies leads to significant perturbation in the forecast evolution. Sensitivity studies show that it is the presence of the mid-level cyclonic vortex (MCV) that has th: biggest impact on the NWP forecast. This positive PV anomaly is shown to cause areas of ascent and descent, as has been postulated following other studies. This can lead to the development of a growing mesoscale disturbance if the MCV becomes situated in a strong baroclinic gradient. These disturbances are shown to have direct and indirect impacts on the depths of synoptic-scale depressions. The presence of the MCS PV anomalies leads to some reduction in the forecast errors. It is suggested that attempting to assimilate the MCS PV anomalies into the NWP model analysis may be of some benefit to forecast accuracy. However, uncertainties in the properties of the MCV may mean that a more practical application may be in perturbing the initial states of ensemble forecasts.
引用
收藏
页码:73 / 88
页数:16
相关论文
共 50 条
  • [21] The Impact of Satellite-Derived Land Surface Temperatures on Numerical Weather Prediction Analyses and Forecasts
    Candy, B.
    Saunders, R. W.
    Ghent, D.
    Bulgin, C. E.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (18) : 9783 - 9802
  • [22] Comparison of Success Rate of Numerical Weather Prediction Models with Forecasting System of Convective Precipitation
    Saur, David
    ARTIFICIAL INTELLIGENCE PERSPECTIVES IN INTELLIGENT SYSTEMS, VOL 1, 2016, 464 : 307 - 319
  • [23] Development and Evaluation of a WRF-Based Mesoscale Numerical Weather Prediction System in Northwestern China
    Zhang, Tiejun
    Li, Yaohui
    Duan, Haixia
    Liu, Yuanpu
    Zeng, Dingwen
    Zhao, Cailing
    Gong, Chongshui
    Zhou, Ganlin
    Song, Linlin
    Yan, Pengcheng
    ATMOSPHERE, 2019, 10 (06)
  • [24] Relative impact of observations on a regional Arctic numerical weather prediction system
    Randriamampianina, Roger
    Bormann, Niels
    Koltzow, Morten A. O.
    Lawrence, Heather
    Sandu, Irina
    Wang, Zheng Qi
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2021, 147 (737) : 2212 - 2232
  • [25] Use and impact of Arctic observations in the ECMWF Numerical Weather Prediction system
    Lawrence, Heather
    Bormann, Niels
    Sandu, Irina
    Day, Jonathan
    Farnan, Jacky
    Bauer, Peter
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2019, 145 (725) : 3432 - 3454
  • [26] The Use and Interpretation of Numerical Weather Prediction Model Output in Identifying Synoptic-Scale Environments Associated with Development of Mesoscale Convective Systems
    Schwartz, Barry E.
    Rodgers, Dennis M.
    Hawes, J. Todd
    WEATHER AND FORECASTING, 1987, 2 (01) : 50 - 69
  • [27] Investigation of links between dynamical scenarios and particularly high impact of Aeolus on numerical weather prediction (NWP) forecasts
    Martin, Anne
    Weissmann, Martin
    Cress, Alexander
    WEATHER AND CLIMATE DYNAMICS, 2023, 4 (01): : 249 - 264
  • [28] Improving Numerical Weather Prediction-Based Near-Cloud Aviation Turbulence Forecasts by Diagnosing Convective Gravity Wave Breaking
    Kim, Soo-Hyun
    Chun, Hye-Yeong
    Lee, Dan-Bi
    Kim, Jung-Hoon
    Sharman, Robert D.
    WEATHER AND FORECASTING, 2021, 36 (05) : 1735 - 1757
  • [29] On the Impact of Unmanned Aerial System Observations on Numerical Weather Prediction in the Coastal Zone
    Flagg, David D.
    Doyle, James D.
    Holt, Teddy R.
    Tyndall, Daniel P.
    Amerault, Clark M.
    Geiszler, Daniel
    Haack, Tracy
    Moskaitis, Jonathan R.
    Nachamkin, Jason
    Eleuterio, Daniel P.
    MONTHLY WEATHER REVIEW, 2018, 146 (02) : 599 - 622
  • [30] Impact of SAPHIR Data Assimilation in the KIAPS Global Numerical Weather Prediction System
    Lee, Sihye
    Chun, Hyoung-Wook
    Song, Hyo-Jong
    ATMOSPHERE-KOREA, 2018, 28 (02): : 141 - 151