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Subseasonal-to-Seasonal (S2S) Prediction Skills of GloSea5 Model: Part 1. Geopotential Height in the Northern Hemisphere Extratropics

GloSea5 모형의 계절내-계절(S2S) 예측성 검정: Part 1. 북반구 중위도 지위고도

  • Kim, Sang-Wook (School of Earth and Environmental Sciences, Seoul National University) ;
  • Kim, Hera (School of Earth and Environmental Sciences, Seoul National University) ;
  • Song, Kanghyun (School of Earth and Environmental Sciences, Seoul National University) ;
  • Son, Seok-Woo (School of Earth and Environmental Sciences, Seoul National University) ;
  • Lim, Yuna (School of Earth and Environmental Sciences, Seoul National University) ;
  • Kang, Hyun-Suk (Earth System Research Division, National Institute of Meteorological Sciences) ;
  • Hyun, Yu-Kyung (Earth System Research Division, National Institute of Meteorological Sciences)
  • 김상욱 (서울대학교 자연과학대학 지구환경과학부) ;
  • 김혜라 (서울대학교 자연과학대학 지구환경과학부) ;
  • 송강현 (서울대학교 자연과학대학 지구환경과학부) ;
  • 손석우 (서울대학교 자연과학대학 지구환경과학부) ;
  • 임유나 (서울대학교 자연과학대학 지구환경과학부) ;
  • 강현석 (국립기상과학원 지구시스템연구과) ;
  • 현유경 (국립기상과학원 지구시스템연구과)
  • Received : 2018.02.22
  • Accepted : 2018.07.07
  • Published : 2018.09.30

Abstract

This study explores the Subseasonal-to-Seasonal (S2S) prediction skills of the Northern Hemisphere mid-latitude geopotential height in the Global Seasonal forecasting model version 5 (GloSea5) hindcast experiment. The prediction skills are quantitatively verified for the period of 1991~2010 by computing the Anomaly Correlation Coefficient (ACC) and Mean Square Skill Score (MSSS). GloSea5 model shows a higher prediction skill in winter than in summer at most levels regardless of verification methods. Quantitatively, the prediction limit diagnosed with ACC skill of 500 hPa geopotential height, averaged over $30^{\circ}N{\sim}90^{\circ}N$, is 11.0 days in winter, but only 9.1 days in summer. These prediction limits are primarily set by the planetary-scale eddy phase errors. The stratospheric prediction skills are typically higher than the tropospheric skills except in the summer upper-stratosphere where prediction skills are substantially lower than upper-troposphere. The lack of the summer upper-stratospheric prediction skill is caused by zonal mean error, perhaps strongly related to model mean bias in the stratosphere.

Keywords

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