Coupled Data Assimilation and Ensemble Initialization with Application to Multiyear ENSO Prediction

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O'Kane, Terry; Sandery, Paul; Monselesan, Didier ORCID ID icon; Chamberlain, Matt ORCID ID icon; Matear, Richard; Collier, Mark; Squire, Dougie ORCID ID icon; Stevens, Lauren ORCID ID icon; Sakov, Pavel


2019-02-15


Journal Article


Journal of Climate


32


February 2019


4


997-1024


We develop and compare variants of coupled data assimilation (DA) systems based on ensemble optimal interpolation (EnOI) and ensemble transform Kalman filter (ETKF) methods. The assimilation system is first tested on a small paradigm model of the coupled tropical–extratropical climate system, then implemented for a coupled general circulation model (GCM). Strongly coupled DA was employed specifically to assess the impact of assimilating ocean observations [sea surface temperature (SST), sea surface height (SSH), and sea surface salinity (SSS), Argo, XBT, CTD, moorings] on the atmospheric state analysis update via the cross- domain error covariances from the coupled-model background ensemble. We examine the relationship be- tween ensemble spread, analysis increments, and forecast skill in multiyear ENSO prediction experiments with a particular focus on the atmospheric response to tropical ocean perturbations. Initial forecast pertur- bations generated from bred vectors (BVs) project onto disturbances at and below the thermocline with similar structures to ETKF perturbations. BV error growth leads ENSO SST phasing by 6 months whereupon the dominant mechanism communicating tropical ocean variability to the extratropical atmosphere is via tropical convection modulating the Hadley circulation. We find that bred vectors specific to tropical Pacific thermocline variability were the most effective choices for ensemble initialization and ENSO forecasting.


American Meteorological Society


Earth Sciences not elsewhere classified


https://doi.org/10.1175/JCLI-D-18-0189.1


Link to Publisher's Version


EP202559


Journal article - Refereed


English


O'Kane, Terry; Sandery, Paul; Monselesan, Didier; Chamberlain, Matt; Matear, Richard; Collier, Mark; Squire, Dougie; Stevens, Lauren; Sakov, Pavel. Coupled Data Assimilation and Ensemble Initialization with Application to Multiyear ENSO Prediction. Journal of Climate. 2019; 32(February 2019 4):997-1024. https://doi.org/10.1175/JCLI-D-18-0189.1



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