Understanding the control of extratropical atmospheric variability on ENSO using a coupled data assimilation approach

The control of extratropical atmospheric variability on ENSO variability is studied in a coupled general circulation model (CGCM) utilizing an ensemble-based coupled data assimilation (CDA) method in the perfect-model framework. Assimilation is limited to the desired model components (e.g. atmosphere) and spatial areas (e.g. the extratropics) to study the ensemble-mean model response (e.g. tropical response to “observed” extratropical atmospheric variability). The CDA provides continuously “corrected” extratropical atmospheric forcing and boundary conditions for the tropics and the use of ensemble optimizes the observational forcing signal over internal variability in the model component or region without assimilation. The experiments demonstrate significant control of extratropical atmospheric forcing on ENSO variability in the CGCM. When atmospheric “observations” are assimilated only poleward of 20° in both hemispheres, most ENSO events in the “observation” are reproduced and the error of the Nino3.4 index is reduced by over 40 % compared to the ensemble control experiment that does not assimilate any observations. Further experiments with the assimilation in each hemisphere show that the forced ENSO variability is contributed roughly equally and independently by the Southern and Northern Hemisphere extratropical atmosphere. Further analyses of the ENSO events in the southern hemisphere forcing experiment reveal robust precursors in both the extratropical atmosphere over southeastern Pacific and equatorial Pacific thermocline, consistent with previous studies of the South Pacific Meridional Mode and the discharge-recharge paradigm, respectively. However, composite analyses based on each precursor show that neither precursor alone is sufficient to trigger ENSO onset by itself and therefore neither alone could serve as a reliable predictor. Additional experiments with northern hemisphere forcing, ocean assimilation or different latitudes are also performed.

[1]  Gene C. Feldman,et al.  Influence of penetrating solar radiation on the heat budget of the equatorial Pacific Ocean , 1990, Nature.

[2]  Y. Wanga,et al.  Simulating the transient evolution and abrupt change of Northern Africa atmosphere – ocean – terrestrial ecosystem in the Holocene $ , 2007 .

[3]  Jin‐Yi Yu,et al.  Decadal changes of ENSO persistence barrier in SST and ocean heat content indices: 1958–2001 , 2007 .

[4]  Juanzhen Sun,et al.  Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter , 2004 .

[5]  H. Kao Eastern Pacific and central Pacific types of ENSO , 2009 .

[6]  Jialin Lin,et al.  The Double-ITCZ Problem in IPCC AR4 Coupled GCMs: Ocean–Atmosphere Feedback Analysis , 2007 .

[7]  Takemasa Miyoshi,et al.  Estimating the Impact of Real Observations in Regional Numerical Weather Prediction Using an Ensemble Kalman Filter , 2012 .

[8]  M. Alexander,et al.  Optimal growth of Central and East Pacific ENSO events , 2014 .

[9]  J. David Neelin,et al.  ENSO theory , 1998 .

[10]  B. Kirtman,et al.  The Pacific Meridional Mode as a trigger for ENSO in a high‐resolution coupled model , 2013 .

[11]  Chunzai Wang,et al.  On the Relationship between the North Pacific Climate Variability and the Central Pacific El Niño , 2015 .

[12]  Tong Lee,et al.  Subtropics-Related Interannual Sea Surface Temperature Variability in the Central Equatorial Pacific , 2010 .

[13]  G. Danabasoglu,et al.  An Ensemble Adjustment Kalman Filter for the CCSM4 Ocean Component , 2013 .

[14]  Mark A. Cane,et al.  Experimental forecasts of El Niño , 1986, Nature.

[15]  J. Wallace,et al.  The Seasonal Footprinting Mechanism in the Pacific: Implications for ENSO(. , 2003 .

[16]  M. Latif,et al.  Subtropical forcing of Tropical Pacific climate and decadal ENSO modulation , 2008 .

[17]  Antonio J. Busalacchi,et al.  Effects of Penetrative Radiation on the Upper Tropical Ocean Circulation , 2002 .

[18]  B. Anderson,et al.  ENSO and non-ENSO induced charging and discharging of the equatorial Pacific , 2015, Climate Dynamics.

[19]  Uang,et al.  The NCEP Climate Forecast System Reanalysis , 2010 .

[20]  A. Rosati,et al.  System Design and Evaluation of Coupled Ensemble Data Assimilation for Global Oceanic Climate Studies , 2007 .

[21]  B. Kirtman,et al.  The pacific meridional mode as an ENSO precursor and predictor in the North American multimodel ensemble , 2014 .

[22]  John R. Lanzante,et al.  The Atmospheric Bridge: The Influence of ENSO Teleconnections on Air-Sea Interaction over the Global Oceans , 2002 .

[23]  G. Johnson,et al.  Shallow Overturning Circulations of the Tropical‐Subtropical Oceans , 2013 .

[24]  G. Compo,et al.  Removing ENSO-Related Variations from the Climate Record , 2010 .

[25]  James D. Scott,et al.  An empirical model of tropical ocean dynamics , 2011 .

[26]  John E. Kutzbach,et al.  Modeling climate shift of El Nino variability in the Holocene , 2000 .

[27]  M. Alexander,et al.  Midlatitude Excitation of Tropical Variability in the Pacific: The Role of Thermodynamic Coupling and Seasonality* , 2009 .

[28]  Robert Jacob,et al.  Ensemble-Based Parameter Estimation in a Coupled GCM Using the Adaptive Spatial Average Method , 2014 .

[29]  D. Vimont Transient Growth of Thermodynamically Coupled Variations in the Tropics under an Equatorially Symmetric Mean State , 2010 .

[30]  P. Rasch,et al.  Description of the NCAR community climate model (CCM2), June 1993. Technical note , 1993 .

[31]  J. Shukla,et al.  Interactive coupled ensemble: A new coupling strategy for CGCMs , 2002 .

[32]  Zhengyu Liu Modeling Equatorial Annual Cycle with a Linear Coupled Model , 1996 .

[33]  D. Vimont,et al.  Analogous Pacific and Atlantic Meridional Modes of Tropical Atmosphere-Ocean Variability* , 2004 .

[34]  B. Anderson,et al.  Triggering of El Niño onset through trade wind–induced charging of the equatorial Pacific , 2013 .

[35]  Ian T. Foster,et al.  Design and Performance of a Scalable Parallel Community Climate Model , 1995, Parallel Comput..

[36]  S. Xie,et al.  Equatorward Propagation of Coupled Air–Sea Disturbances with Application to the Annual Cycle of the Eastern Tropical Pacific , 1994 .

[37]  B. Anderson,et al.  On the Joint Role of Subtropical Atmospheric Variability and Equatorial Subsurface Heat Content Anomalies in Initiating the Onset of ENSO Events , 2007 .

[38]  Ryan D. Torn,et al.  Ensemble-Based Sensitivity Analysis , 2008 .

[39]  D. Vimont,et al.  The Seasonal Footprinting Mechanism in the CSIRO General Circulation Models , 2003 .

[40]  B. Kirtman Oceanic Rossby Wave Dynamics and the ENSO Period in a Coupled Model , 1997 .

[41]  R. Jacob Low frequency variability in a simulated atmosphere-ocean system , 1997 .

[42]  B. Kirtman,et al.  Revisiting ENSO Coupled Instability Theory and SST Error Growth in a Fully Coupled Model , 2015 .

[43]  Robert Jacob,et al.  Simulating the transient evolution and abrupt change of Northern Africa atmosphere–ocean–terrestrial ecosystem in the Holocene ☆ , 2007 .

[44]  Fei-Fei Jin,et al.  An Equatorial Ocean Recharge Paradigm for ENSO. Part I: Conceptual Model , 1997 .

[45]  E. Kalnay,et al.  Estimating observation impact without adjoint model in an ensemble Kalman filter , 2008 .

[46]  Jeffrey L. Anderson An Ensemble Adjustment Kalman Filter for Data Assimilation , 2001 .

[47]  M. Alexander,et al.  Atmospheric bridge, oceanic tunnel, and global climatic teleconnections , 2007 .

[48]  M. Cox A primitive equation, 3-dimensional model of the ocean , 1984 .

[49]  D. Vimont,et al.  Footprinting: A seasonal connection between the tropics and mid‐latitudes , 2001 .

[50]  Robert Pincus,et al.  DART/CAM: An Ensemble Data Assimilation System for CESM Atmospheric Models , 2012 .

[51]  E. Schneider,et al.  Sensitivity of the Simulated Annual Cycle of Sea Surface Temperature in the Equatorial Pacific to Sunlight Penetration , 1998 .

[52]  Ryan D. Torn,et al.  Ensemble Synoptic Analysis , 2008 .

[53]  Robert Jacob,et al.  Ensemble-Based Parameter Estimation in a Coupled General Circulation Model , 2014 .

[54]  Robert Jacob,et al.  Strongly Coupled Data Assimilation Using Leading Averaged Coupled Covariance (LACC). Part II: CGCM Experiments* , 2015 .

[55]  Adam S. Phillips,et al.  ENSO and Pacific Decadal Variability in the Community Climate System Model Version 4 , 2012 .

[56]  R. Pacanowski,et al.  A GCM Study of Tropical–Subtropical Upper-Ocean Water Exchange , 1994 .

[57]  An alternate approach to ensemble ENSO forecast spread: Application to the 2014 forecast , 2015 .

[58]  Takemasa Miyoshi,et al.  A simpler formulation of forecast sensitivity to observations: application to ensemble Kalman filters , 2012 .

[59]  A. Clement,et al.  The South Pacific Meridional Mode: A Mechanism for ENSO-like Variability , 2014 .

[60]  T. Barnett,et al.  Connections between the Pacific Ocean Tropics and Midlatitudes on Decadal Timescales , 2000 .

[61]  M. Cane,et al.  A Theory for El Ni�o and the Southern Oscillation , 1985, Science.

[62]  M. Tippett,et al.  Pacific meridional mode and El Niño—Southern Oscillation , 2007 .

[63]  P. Chang,et al.  Linking the Pacific Meridional Mode to ENSO: Coupled Model Analysis , 2009 .