Dataset: OGCM/OCMIP-Marshall
Deployment: USJGOFS_SMP

Interannual variability of ocean color: A synthesis of satellite data and models and participation in the Ocean Carbon Cycle Model Intercomparison Project
Co-Principal Investigator: 
Michael J. Follows (Massachusetts Institute of Technology, MIT-EAPS)
Dr Watson Gregg (National Aeronautics and Space Administration, NASA-GSFC)
Dr John Marshall (Massachusetts Institute of Technology, MIT-EAPS)
BCO-DMO Data Manager: 
Cynthia L. Chandler (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Project: 
Data URL:
 https://www.bco-dmo.org/dataset-deployment/452729/data

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Description

We propose a joint effort between Goddard and MIT in which we perform a synthesis of ocean color data with all other relevant physical satellite data, and appropriate dynamical and biological models. We will attempt to elucidate and describe the mechanisms which give rise to variability in ocean color placing particular emphasis on understanding seasonal and inter-annual variations in the Atlantic sector.

Our approach is to model the relevant physics, using an ocean circulation model driven by analysed winds and surface fluxes and constrained to bring it in to consistency with TOPEX/POSEIDON altimetric data, and to model the biological and optical processes relevant to ocean color. The resulting fields will then be compared with, and evaluated in the context of, the OCTS and SeaWiFs ocean color data on seasonal and interannual timescales, focusing on the North Atlantic. We aim to simulate, and identify the mechanisms underlying, interannual variability of the ocean color signal.

In addition, as part of the SMP, we will participate in the US Ocean Carbon Model Intercomparison (OCMIP) study, led by Ray Najjar.

More information about this dataset deployment