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Reintges, Annika; Latif, Mojib; Bordbar, Mohammad Hadi; Park, Wonsun (2020): Wind stress-induced multiyear predictability of annual extratropical North Atlantic sea surface temperature anomalies [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.910343

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Abstract:
Long-term predictability of the North Atlantic sea surface temperature (SST) is commonly attributed to buoyancy-forced changes of the Atlantic Meridional Overturning Circulation. Here we investigate the role of surface wind stress forcing in decadal hindcasts as another source of extratropical North Atlantic SST predictability. For this purpose, a global climate model is forced by reanalysis (ERA-interim) wind stress anomalies over the period 1979-2017. The simulated climate states serve as initial conditions for decadal hindcasts. Significant skill in predicting detrended observed annual SST anomalies is observed over the extratropical central North Atlantic with anomaly correlation coefficients exceeding 0.6 at lead times of 4 to 7 years. The skill is insensitive to the calendar month of initialization and linked to upper-ocean heat content anomalies that lead anomalous SSTs by several years.
Supplement to:
Reintges, Annika; Latif, Mojib; Bordbar, Mohammad Hadi; Park, Wonsun (2020): Wind Stress‐Induced Multiyear Predictability of Annual Extratropical North Atlantic Sea Surface Temperature Anomalies. Geophysical Research Letters, 47(14), https://doi.org/10.1029/2020GL087031
Comment:
netcdf files of figures
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DescriptionDescriptionReintges, Annika
Binary ObjectBinaryReintges, Annika
Binary Object (Media Type)Binary (Type)Reintges, Annika
Binary Object (File Size)Binary (Size)BytesReintges, Annika
Size:
36 data points

Data

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Description

Binary

Binary (Type)

Binary (Size) [Bytes]
Predictive skill of ensemble mean hindcasts and HadISST for different prediction windows.Fig1_and_S2_data.ncapplication/x-hdf1000.4 kBytes
Timeseries of the SST index.Fig2a_data.ncapplication/x-hdf25.3 kBytes
Predictive skill for the SST index.Fig2bc_data.ncapplication/x-hdf65.8 kBytes
From the initialization runs: Regression of different ocean variables on a lon x lat grid.Fig3_data_ocean_lon_x_lat.ncapplication/x-hdf327.2 kBytes
From the initialization runs: Regression of the Atlantic meridional overturning circulation.Fig3_data_overturning.ncapplication/x-hdf110.9 kBytes
From the initialization runs: Regression of the net surface heat flux.Fig3_data_srfflx.ncapplication/x-hdf83.3 kBytes
From the initialization runs: Regression of the zonal (TAUX) and meridional (TAUY) wind stress.Fig3_data_tau.ncapplication/x-hdf271.4 kBytes
From the hindcasts: Regression of different ocean variables on a lon x lat grid.Fig4_data_ocean_lon_x_lat.ncapplication/x-hdf550.3 kBytes
From the hindcasts: Regression of the Atlantic meridional overturning circulation.Fig4_data_overturning.ncapplication/x-hdf110.9 kBytes
From the hindcasts: Regression of the net surface heat flux.Fig4_data_srfflx.ncapplication/x-hdf83.3 kBytes
Timeseries of SST anomalies.FigS1_data.ncapplication/x-hdf31.7 kBytes
From the initialization runs: Regression of HC meridionally averaged over 35-55N.FigS3_data_hc_35to55n.ncapplication/x-hdf18.2 kBytes
From the initialization runs: Regression of different ocean variables on a lon x lat grid.FigS3_data_ocean_lon_x_lat.ncapplication/x-hdf396.2 kBytes
From the initialization runs: Regression of SLP from HadSLP2.FigS3_data_slp_HadSLP2.ncapplication/x-hdf146.6 kBytes
From the initialization runs: Regression of SLP simulated by KCM.FigS3_data_slp_KCM.ncapplication/x-hdf83.3 kBytes
From the hindcasts: Regression of HC meridionally averaged over 35-55N.FigS4_data_hc_35to55n.ncapplication/x-hdf18.2 kBytes
From the hindcasts: Regression of different ocean variables on a lon x lat grid.FigS4_data_ocean_lon_x_lat.ncapplication/x-hdf289.1 kBytes
From the hindcasts: Regression of SLP simulated by KCM.FigS4_data_slp_KCM.ncapplication/x-hdf83.3 kBytes