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The ability to use remotely sensed ocean color data to parameterize biogenic heating in a coupled ocean–atmosphere model is investigated. The model used is a hybrid coupled model recently developed at the Earth System Science Interdisciplinary Center (ESSIC) by coupling an ocean general circulation model with a statistical atmosphere model for wind stress anomalies.

The impact of the seasonal cycle of water turbidity on the annual mean, seasonal cycle, and interannual variability of the coupled system is investigated using three simulations differing in the parameterization of the vertical attenuation of downwelling solar radiation: (i) a control simulation using a constant 17-m attenuation depth, (ii) a simulation with the spatially varying annual mean of the satellite-derived attenuation depth, and (iii) a simulation accounting for the seasonal cycle of the attenuation depth. The results indicate that a more realistic attenuation of solar radiation slightly reduces the cold bias of the model. While a realistic attenuation of solar radiation hardly affects the annual mean and the seasonal cycle due to anomaly coupling, it significantly affects the interannual variability, especially when the seasonal cycle of the attenuation depth is used. The seasonal cycle of the attenuation depth interacts with the low-frequency equatorial dynamics to enhance warm and cold anomalies, which are further amplified via positive air–sea feedbacks. These results also indicate that interannual variability of the attenuation depths is required to capture the asymmetric biological feedbacks during cold and warm ENSO events. Hybrid coupled model The hybrid coupled model (HCM) used in this work couples a reduced-gravity, primitive equation OGCM to a statistical wind stress anomaly model. Details of the OGCM can be found in.

The main changes in the physical configuration are that the model used here has 31 layers and the domain extends from 25°S to 25°N. The statistical wind stress anomaly ( τ) model is derived from a SVD analysis of the covariance matrix from time series of monthly mean SST and wind stress fields (e.g.,; ). The τ model is constructed from the ECHAM4.5 () ensemble simulations and observed SST during the period 1963–96. The coupling between the atmospheric τ model and the OGCM is as follows: the OGCM calculates SST anomalies (relative to its uncoupled mean climatology) that are used to calculate wind anomalies, which in turn are added to the observed mean seasonal climatology of wind stress to drive the OGCM. Previous work with the statistical atmosphere model (;; ) provided a retrospective prediction of ENSO with a skill comparable to the most advanced coupled systems. The HCM is initiated with an imposed SST anomaly for eight months.