Prediction of Convective Storms at Convection-Resolving 1km Resolution over Continental United States with Radar Data Assimilation: An Example Case of 26 May 2008 and Precipitation Forecasts from Spring 2009

被引:29
作者
Xue, Ming [1 ]
Kong, Fanyou [1 ]
Thomas, Kevin W. [1 ]
Gao, Jidong [1 ]
Wang, Yunheng [1 ]
Brewster, Keith [1 ]
Droegemeier, Kelvin K. [1 ]
机构
[1] Univ Oklahoma, Ctr Anal & Predict Storms, Norman, OK 73072 USA
基金
美国国家科学基金会;
关键词
PART I; HORIZONTAL RESOLUTION; THUNDERSTORMS; VERIFICATION; DOPPLER; IMPACT;
D O I
10.1155/2013/259052
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
For the first time ever, convection-resolving forecasts at 1 km grid spacing were produced in realtime in spring 2009 by the Center for Analysis and Prediction of Storms (CAPS) at the University of Oklahoma. The forecasts assimilated both radial velocity and reflectivity data from all operational WSR-88D radars within a domain covering most of the continental United States. In preparation for the realtime forecasts, 1 km forecast tests were carried out using a case from spring 2008 and the forecasts with and without assimilating radar data are compared with corresponding 4 km forecasts produced in realtime. Significant positive impact of radar data assimilation is found to last at least 24 hours. The 1 km grid produced a more accurate forecast of organized convection, especially in structure and intensity details. It successfully predicted an isolated severe-weather-producing storm nearly 24 hours into the forecast, which all ten members of the 4 km real time ensemble forecasts failed to predict. This case, together with all available forecasts from 2009 CAPS realtime forecasts, provides evidence of the value of both convection-resolving 1 km grid and radar data assimilation for severe weather prediction for up to 24 hours.
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页数:9
相关论文
共 33 条
  • [1] Brewster K., 2002, P 15 C NUM WEATH PRE
  • [2] Brewster K., 2005, P WWRP S NOWC VER SH
  • [3] Sensitivity of a Simulated Squall Line to Horizontal Resolution and Parameterization of Microphysics
    Bryan, George H.
    Morrison, Hugh
    [J]. MONTHLY WEATHER REVIEW, 2012, 140 (01) : 202 - 225
  • [4] Bryan GH, 2003, MON WEATHER REV, V131, P2394, DOI 10.1175/1520-0493(2003)131<2394:RRFTSO>2.0.CO
  • [5] 2
  • [6] A Comparison of Precipitation Forecast Skill between Small Convection-Allowing and Large Convection-Parameterizing Ensembles
    Clark, Adam J.
    Gallus, William A., Jr.
    Xue, Ming
    Kong, Fanyou
    [J]. WEATHER AND FORECASTING, 2009, 24 (04) : 1121 - 1140
  • [7] Object-based verification of precipitation forecasts. Part I: Methodology and application to mesoscale rain areas
    Davis, Christopher
    Brown, Barbara
    Bullock, Randy
    [J]. MONTHLY WEATHER REVIEW, 2006, 134 (07) : 1772 - 1784
  • [8] Comparison of Evaporation and Cold Pool Development between Single-Moment and Multimoment Bulk Microphysics Schemes in Idealized Simulations of Tornadic Thunderstorms
    Dawson, Daniel T., II
    Xue, Ming
    Milbrandt, Jason A.
    Yau, M. K.
    [J]. MONTHLY WEATHER REVIEW, 2010, 138 (04) : 1152 - 1171
  • [9] Gao JD, 2004, J ATMOS OCEAN TECH, V21, P457, DOI 10.1175/1520-0426(2004)021<0457:ATVDAM>2.0.CO
  • [10] 2