Climate Dynamics

, Volume 49, Issue 3, pp 931–956 | Cite as

Global coupled sea ice-ocean state estimation

Article

Abstract

We study the impact of synthesizing ocean and sea ice concentration data with a global, eddying coupled sea ice-ocean configuration of the Massachusetts Institute of Technology general circulation model with the goal of reproducing the 2004 three-dimensional time-evolving ice-ocean state. This work builds on the state estimation framework developed in the Estimating the Circulation and Climate of the Ocean consortium by seeking a reconstruction of the global sea ice-ocean system that is simultaneously consistent with (1) a suite of in situ and remotely-sensed ocean and ice data and (2) the physics encoded in the numerical model. This dual consistency is successfully achieved here by adjusting only the model’s initial hydrographic state and its atmospheric boundary conditions such that misfits between the model and data are minimized in a least-squares sense. We show that synthesizing both ocean and sea ice concentration data is required for the model to adequately reproduce the observed details of the sea ice annual cycle in both hemispheres. Surprisingly, only modest adjustments to our first-guess atmospheric state and ocean initial conditions are necessary to achieve model-data consistency, suggesting that atmospheric reanalysis products remain a leading source of errors for sea ice-ocean model hindcasts and reanalyses. The synthesis of sea ice data is found to ameliorate misfits in the high latitude ocean, especially with respect to upper ocean stratification, temperature, and salinity. Constraining the model to sea ice concentration modestly reduces ICESat-derived Arctic ice thickness errors by improving the temporal and spatial evolution of seasonal ice. Further increases in the accuracy of global sea ice thickness in the model likely require the direct synthesis of sea ice thickness data.

Keywords

Adjoint State estimation Sea ice ECCO2 Coupled ocean model Sea ice concentration data Assimilation 4DVAR 

Notes

Acknowledgments

The research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Support was provided by an appointment to the NASA Postdoctoral Program which is administered by Oak Ridge Associated Universities through a contract with NASA; the NASA Cryosphere program; and the NASA Modeling, Analysis, and Prediction program. We thank our ECCO partners, the MITgcm development group, the various data centers and the helpful comments of our reviewers. Computations were carried out at NASA Advanced Supercomputing (NAS) facilities.

Supplementary material

382_2015_2796_MOESM1_ESM.pdf (3.6 mb)
Supplementary material 1 (pdf 3687 KB)

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© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Jet Propulsion LaboratoryCalifornia Institute of TechnologyPasadenaUSA

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