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A Study on Sensitivity of Heavy Precipitation to Domain Size with a Regional Numerical Weather Prediction Model
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  • Journal title : Atmosphere
  • Volume 26, Issue 1,  2016, pp.85-95
  • Publisher : Korean Meteorological Society
  • DOI : 10.14191/Atmos.2016.26.1.085
 Title & Authors
A Study on Sensitivity of Heavy Precipitation to Domain Size with a Regional Numerical Weather Prediction Model
Min, Jae-Sik; Roh, Joon-Woo; Jee, Joon-Bum; Kim, Sangil;
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In this study, we investigated the variabilities of wind speed of 850 hPa and precipitable water over the East Asia region using the NCEP Final Analysis data from December 2001 to November 2011. A large variance of wind speed was observed in northern and eastern China during the winter period. During summer, the regions of the East China Sea, the South Sea of Japan and the East Sea show large variances in the wind speed caused by an extended North Pacific High and typhoon activities. The large variances in the wind speed in the regions are shown to be correlated with the inter-annual variability of precipitable water over the inland region of windward side of the Korean Peninsula. Based on the investigation, sensitivity tests to the domain size were performed using the WRF model version 3.6 for heavy precipitation events over the Korean Peninsula for 26 and 27 July 2011. Numerical experiments of different domain sizes were set up with 5 km horizontal and 50 levels vertical resolutions for the control and the first experimental run, and 9 km horizontal for the second experimental run. We found that the major rainfalls correspond to shortwave troughs with baroclinic structure over Northeast China and extended North Pacific High. The correlation analysis between the observation and experiments for 1-h precipitation indicated that the second experiment with the largest domain had the best performance with the correlation coefficient of 0.79 due to the synoptic-scale systems such as short-wave troughs and North Pacific High.
Sensitivity study;heavy precipitation;NWP;domain size;inter-annual variability;
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