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Sensitivity of ENSO characteristics to a new interactive flux correction scheme in a coupled GCM

Sensitivity of ENSO characteristics to a new interactive flux correction scheme in a coupled GCM. J ürgen Kr ö ger, Fred Kucharski and Franco Molteni 1 ESP/ICTP – Earth System Physics/ the Abdus Salam Intl. Centre for Theoretical Physics Trieste, Italy - jkroeger@ictp.it

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Sensitivity of ENSO characteristics to a new interactive flux correction scheme in a coupled GCM

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  1. Sensitivity of ENSO characteristics to a new interactive flux correction scheme in a coupled GCM Jürgen Kröger, Fred Kucharski and Franco Molteni1 ESP/ICTP – Earth System Physics/ the Abdus Salam Intl. Centre for Theoretical Physics Trieste, Italy - jkroeger@ictp.it 1now at ECMWF, Reading, England

  2. Eq. bias in coupled GCMs: STOIC1 1Study of Tropical Oceans In CGCMs (Davey et al. 2002)

  3. Drift in our uncorrected CGCM NO_COR after 100 years Difference of observed climatological SST (ERA15) and model’s ocean climate accumulated over 100 years in the Pacific in exp. NO_COR [deg C]

  4. ICTP-AGCM “SPEEDY” Resolution: T30L8 Simplified physical parameterizations MIAMI-OGCM “MICOM” (v2.9) Indo-Pacific configuration ½ deg on equator, 20 layers Prescribed SST elsewhere Ocean and Atmosphere of the CGCM

  5. Interactive flux adjustment • separate between heat fluxes (Q) seen by the atmosphere and those seen by the ocean • QOcean based on actual, unaltered SST • QAtmos based on SSTA (superimposed onto an observed climatology) • requires SSTclim_model • during spin-up (“training”) we accumulate SST → SSTclim_model QAtmos(…,SSTA) QOcean(…,SST) SST = SSTclim_model + SSTA

  6. Spin-up or “training” phase TRAIN_30: ∑SST TRAIN_20: ∑SST TRAIN_10: ∑SST SSTclim_model (t) ∑SST t 10 20 30 0 1 2

  7. TRAIN_10 after 10 years TRAIN_20 after 20 years TRAIN_30 after 30 years 10, 20, 30 years of training – SST drift Difference of observed climatological SST and SSTclim_modelaccumulated over (upper, left) 10, (lower, left) 20, (lower, right) 30 years [deg C]

  8. TRAIN_10 after 100 years NO_COR after 100 years TRAIN_20 after 100 years TRAIN_30 after 100 years SST drift after 100 years Difference of observed climatological SST and SSTclim_modelaccumulated over 100 years in the experiments with 10, 20, 30 years of training [deg C]

  9. Precipitation CMAP Winter (DJF) precipitation [mm/day]: (upper, right)CMAP climatology, (lower, left) NO_COR, and (lower, right) TRAIN_10 after 100 years. NO_COR TRAIN_10

  10. Precipitation CMAP Winter (DJF) precipitation [mm/day]: (upper, right)CMAP climatology, (lower, left) TRAIN_20, and (lower, right) TRAIN_30 after 100 years. TRAIN_20 TRAIN_30

  11. NO_COR NO_COR NO_COR TRAIN_10 TRAIN_10 TRAIN_10 TRAIN_20 TRAIN_20 TRAIN_20 TRAIN_30 TRAIN_30 TRAIN_30 Nino3.4 index

  12. Nino3.4 reg. on Precipitation+Wind NO_COR TRAIN_10 OBSERVATIONS Winter (DJF): Regression of Nino3.4 on wind+precipitation [mm/day]: (upper, right) NCEP+CMAP climatology, (lower, left) NO_COR, and (lower, right) TRAIN_10.

  13. Nino3.4 reg. on Precipitation+Wind TRAIN_20 TRAIN_30 OBSERVATIONS Winter (DJF): Regression of Nino3.4 on wind+precipitation [mm/day]: (upper, right) NCEP+CMAP climatology, (lower, left) TRAIN_20, and (lower, right) TRAIN_30.

  14. Nino3.4 reg. on equatorial temperature Ninio3.4 Reg., Soda

  15. NO_COR TRAIN_10 TRAIN_20 TRAIN_30 Nino3.4 reg. on equatorial temperature

  16. Nino3.4: El Nino - La Nina composites Composite, Soda

  17. NO_COR TRAIN_10 TRAIN_20 TRAIN_30 Nino3.4: El Nino - La Nina composites

  18. Lagged correlation with eq. SST HadISST, pre 76 TRAIN_10 HadISST, post 76 TRAIN_20 NO_COR TRAIN_30

  19. Selective Forcing in tropical east Pacific

  20. Selective Forcing in tropical east Pacific

  21. Selective Forcing in tropical east Pacific

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