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Statistical Guidance on Seasonal Forecast of Korean Dust Days over South Korea in the Springtime

Statistical Guidance on Seasonal Forecast of Korean Dust Days over South Korea in the Springtime
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摘要 This study aimed to develop the seasonal forecast models of Korean dust days over South Korea in the springtime. Forecast mode was a ternary forecast (below normal, normal, above normal) which was classified based on the mean and the standard deviation of Korean dust days for a period of 30 years (1981-2010). In this study, we used three kinds of monthly data: the Korean dust days observed in South Korea, the National Center for Environmental Prediction in National Center for Atmospheric Research (NCEP/NCAR) reanalysis data for meteorological factors over source regions of Asian dust, and the large-scale climate indices offered from the Climate Diagnostic Center and Climate Prediction Center in NOAA. Forecast guidance consisted of two components; ordinal logistic regression model to generate trinomial distributions, and conversion algorithm to generate ternary forecast by two thresholds. Forecast guidance was proposed for each month separately and its predictability was evaluated based on skill scores. This study aimed to develop the seasonal forecast models of Korean dust days over South Korea in the springtime. Forecast mode was a ternary forecast (below normal, normal, above normal) which was classified based on the mean and the standard deviation of Korean dust days for a period of 30 years (1981-2010). In this study, we used three kinds of monthly data: the Korean dust days observed in South Korea, the National Center for Environmental Prediction in National Center for Atmospheric Research (NCEP/NCAR) reanalysis data for meteorological factors over source regions of Asian dust, and the large-scale climate indices offered from the Climate Diagnostic Center and Climate Prediction Center in NOAA. Forecast guidance consisted of two components; ordinal logistic regression model to generate trinomial distributions, and conversion algorithm to generate ternary forecast by two thresholds. Forecast guidance was proposed for each month separately and its predictability was evaluated based on skill scores.
作者 Keon Tae SOHN
出处 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2013年第5期1343-1352,共10页 大气科学进展(英文版)
基金 supported by the project "Development and Application of the Techniques on Asian Dust Monitoring and Prediction" of National Institute of Meteorological Research/Korea Meteorological Administration in 2011
关键词 Korean dust days ternary forecast logistic regression NCEP/NCAR reanalysis data largescale climate indices Korean dust days, ternary forecast, logistic regression, NCEP/NCAR reanalysis data, largescale climate indices
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  • 1Barnston, A. G., and R. E. Livezey, 1987: Classification, seasonality and persistence of low-frequency atmo- spheric circulation patterns. Mon. Wea. Rev., 115, 1083-1126.
  • 2Burrows, W. R., 1991: Objective guidance for 0-24 hour and 24-48 hour mesoscale forecast on lake-effect snow using CART. Wea. Forecasting, 6, 357-378.
  • 3Chun, Y., and J. Y. Lim, 2004: The recent characteris- tics of Asian Dust and haze events in Seoul, Korea. Meteor. Atmos. Phys., 87, 143-152.
  • 4Chun, Y., S. W. Park, and Y. S. Jeong, 2006: Develop- ment on the Asian Dust Monitoring and Prediction Techniques. Report No. MR053A15, National Insti- tute of Meteorological Research / Korea Meteorolog- ical Administration, 321pp.
  • 5Hansen, J., R. Ruedy, J. Glascoe and M. Sato, 1999: GISS analysis of surface temperature change. J. Geophys. Res., 104, 30997-31022.
  • 6Kim, Y., M. Kim, and W. Lee, 2008: An Investigation of large-scale climate indices with the influence on tem- perature and precipitation variation in Korea. Atmo- sphere, 18, 83-95.
  • 7Kurosaki, Y., and M. Mikami, 2003: Recent frequent dust events and their relation to surface wind in East Asia. Geophys. Res. Lett., 30, doi:10.1029/2003GL017261.
  • 8Lim, J. Y., and Y. Chun, 2006: The characteristics of Asian dust events in Northeast Asia during the springtime from 1993 to 2004. Global and Planetary Change, 52,231-247.
  • 9Myers, R. H., D. C. Montgomery, and G. G. Vining, 2002: Generalized Linear Models with Applications in En- gineering and the Sciences. John Wiley 8z Sons, New York. 342pp.
  • 10Park, G. J., K. T. Sohn, J. W. Kim, B. H. Park, and M. Y. Jeon, 2011: Development and Application of the Techniques on Asian Dust Monitoring and Pre- dictions. Report No. 11-1360395-000243-01, National Institute of Meteorological Research/ Korea Meteo- rological Administration, 76pp.

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