GloSea6 모형에서의 성층권 돌연승온 하층 영향 분석: 2018년 성층권 돌연승온 사례
Downward Influences of Sudden Stratospheric Warming (SSW) in GloSea6: 2018 SSW Case Study
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This study investigates the downward influences of sudden stratospheric warming(SSW) in February 2018 using a subseasonal-to-seasonal forecast model, Global Seasonal forecastingsystem version 6 (GloSea6). To quantify the influences of SSW on the tropospheric predictionskills, free-evolving (FREE) forecasts are compared to stratospheric nudging(NUDGED) forecasts where zonal-mean flows in the stratosphere are relaxed to the observation. When the models are initialized on 8 February 2018, both FREE and NUDGED forecastssuccessfully predicted the SSW and its downward influences. However, FREE forecasts initializedon 25 January 2018 failed to predict the SSW and downward propagation of negativeNorthern Annular Mode (NAM). NUDGED forecasts with SSW nudging qualitatively well predictedthe downward propagation of negative NAM. In quantity, NUDGED forecasts exhibit ahigher mean squared skill score of 500 hPa geopotential height than FREE forecasts in late Februaryand early March. The surface air temperature and precipitation are also better predicted. Cold and dry anomalies over the Eurasia are particularly well predicted in NUDGED comparedto FREE forecasts. These results suggest that a successful prediction of SSW could improve thesurface prediction skills on subseasonal-to-seasonal time scale.
Abstract
This study investigates the downward influences of sudden stratospheric warming(SSW) in February 2018 using a subseasonal-to-seasonal forecast model, Global Seasonal forecastingsystem version 6 (GloSea6). To quantify the influences of SSW on the tropospheric predictionskills, free-evolving (FREE) forecasts are compared to stratospheric nudging(NUDGED) forecasts where zonal-mean flows in the stratosphere are relaxed to the observation. When the models are initialized on 8 February 2018, both FREE and NUDGED forecastssuccessfully predicted the SSW and its downward influences. However, FREE forecasts initializedon 25 January 2018 failed to predict the SSW and downward propagation of negativeNorthern Annular Mode (NAM). NUDGED forecasts with SSW nudging qualitatively well predictedthe downward propagation of negative NAM. In quantity, NUDGED forecasts exhibit ahigher mean squared skill score of 500 hPa geopotential height than FREE forecasts in late Februaryand early March. The surface air temperature and precipitation are also better predicted. Cold and dry anomalies over the Eurasia are particularly well predicted in NUDGED comparedto FREE forecasts. These results suggest that a successful prediction of SSW could improve thesurface prediction skills on subseasonal-to-seasonal time scale.
참고문헌 (32)
- Baldwin, M. P., "Stratospheric harbingers of anomalous weather regimes", Science, 294, pp.581~584 (2001)[DOI]
- Baldwin, M. P., "A critical comparison of stratosphere-troposphere coupling indices", Quart. J. Roy. Meteor. Soc, 135, pp.1661~1672 (2009)[DOI]
- Baldwin, M. P, "Sudden stratospheric warmings", Rev. Geophys, 59, pp.e2020RG000~ (2021)[DOI]
- Butler, A. H., "A sudden stratospheric warming compendium", Earth Syst. Sci. Data, 9, pp.63~76 (2017)[DOI]
- Charlton, A. J., "A new look at stratospheric sudden warmings, Part 1: Climatology and modeling benchmarks", J. Climate, 20, pp.449~469 (2007)[DOI]
- Domeisen, D. I. V, "The role of the stratosphere in subseasonal to seasonal prediction: 1 Predictability of the stratosphere", J. Geophys. Res. Atmos, 125, pp.e2019JD030~ (2020)[DOI]
- Domeisen, D. I. V., "Stratospheric drivers of extreme events at the Earth’s surface", Commun. Earth Environ, 1, pp.59~66 (2020)[DOI]
- 강동우, "GloSea5 모형의 한반도 인근 해수면 온도 예측성 평가: 편차 보정에 따른 개선", 대기, 31(2), pp.215~227 (2021), 한국기상학회[DOI]
- Goddard, L., "A verification framework for interannual-to-decadal predictions experiments", Clim. Dyn, 40, pp.245~272 (2013)[DOI]
- Hersbach, H., "The ERA5 global reanalysis", Quart. J. Roy. Meteor. Soc, 146, pp.1999~2049 (2020)[DOI]
- Hitchcock, P., "The downward influence of stratospheric sudden warmings", J. Atmos. Sci, 71, pp.3856~3876 (2014)[DOI]
- Hitchcock, P., "Stratospheric nudging and predictable surface impacts(SNAPSI) : A protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts", Geosci. Model Dev, 15, pp.5073~5092 (2022)[DOI]
- Huang, J., "Stratospheric influence on the development of the 2018 late winter european cold air outbreak", J. Geophys. Res. Atmos, 127, pp.e2021JD035~ (2018)[DOI]
- Karpechko, A. Y., "Predictability of downward propagation of major sudden stratospheric warmings", Quart. J. Roy. Meteor. Soc, 143, pp.1459~1470 (2017)[DOI]
- Karpechko, A. Y., "Predicting sudden stratospheric warming 2018 and its climate impacts with a multimodel ensemble", Geophys. Res. Lett, 45, pp.13538~13546 (2018)[DOI]
- Kautz, L. -A., "Enhanced extended-range predictability of the 2018 late-winter Eurasian cold spell due to the stratosphere", Quart. J. Roy. Meteor. Soc, 146, pp.1040~1055 (2020)[DOI]
- 김혜라, "성층권 극소용돌이 강화사례에 대한 GloSea5의 예측성 진단", 한국지구과학회지, 39(3), pp.211~227 (2018), 한국지구과학회[DOI]
- 김상욱, "GloSea5 모형의 계절내-계절(S2S) 예측성 검정: Part 1. 북반구 중위도 지위고도", 대기, 28(3), pp.233~245 (2018), 한국기상학회[DOI]
- 김혜리, "기상청 기후예측시스템(GloSea6) - Part 1: 운영 체계 및 개선 사항", 대기, 31(3), pp.341~359 (2021), 한국기상학회[DOI]
- Knight, J, "Predictability of european winters 2017", 2018 and 2018, Atmos. Sci. Lett, pp.2021 (2019), 22[DOI]
- Larson, J., "The model coupling toolkit : A new Fortran90 toolkit for building multiphysics parallel coupled models", Int. J. High Performance Computing Appl, 19, pp.277~292 (2005)[DOI]
- Martineau, P., "Onset of circulation anomalies during stratospheric vortex weakening events: The role of planetary-scale waves", J. Climate, 28, pp.7347~7370 (2015)[DOI]
- Meehl, G. A., "Initialized Earth systerm prediction from subseaasonal to decadal timescales", Nature. Rev. Earth Environ, 2, pp.340~357 (2021)[DOI]
- Rao, J., "Predicting the downward and surface influence of the February 2018 and January 2019 sudden stratospheric warming events in subseasonal to seasonal (S2S) models", J. Geophys. Res. Atmos, 125, pp.e2019JD031~ (2019)[DOI]
- Ridley, J. K., "The sea ice model component of HadGEM3-GC3.1", Geosci. Model Dev, 11, pp.713~723 (2018)[DOI]
- 송강현, "GloSea5 모형의 계절내-계절 예측성 검정: Part 2. 성층권 돌연승온", 대기, 28(2), pp.123~139 (2018), 한국기상학회[DOI]
- Statnaia, I., "Stratosphere-troposphere coupling enhances subseasonal predictability of Northern Eurasian cold spells", Quart. J. Roy. Meteor. Soc, 148, pp.2769~2783 (2022)[DOI]
- Storkey, D., "UK Global Ocean GO6and GO7 : A traceable hierarchy of model resolutions", Geosci. Model Dev, 11, pp.3187~3213 (2018)[DOI]
- Tripathi, O. P, "Enhanced long-range forecast skill in boreal winter following stratospheric strong vortex conditions", Environ. Res. Lett, 10, pp.104007~ (2015)[DOI]
- Walters, D., "The Met Office Unified Model Global Atmosphere 7.0", 7.1 and JULES Global Land 7.0 configurations, 2019, pp.12, 1909~1963
- White, C. J., "Potential applications of subseasonal-to-seasonal(S2S)predictions", Meteor. Appl, 24, pp.315~325 (2017)[DOI]
- Williams, K. D., "The Met Office Global Coupled model 3.0 and 3.1 (GC3.0 and GC3.1)configurations", J. Adv. Modeling Earth Syst, 10, pp.357~380 (2017)[DOI]