The Inverse Ocean Modeling system
The Inverse Ocean Modeling system (http://iom.asu.edu) is a modular data assimilation system that implements a weak-constraint, four-dimensional variational data assimilation (W4DVAR). The IOM algorithm, although very intricate, is largely model independent enabling it to be interfaced to a wide range of geophysical models (Chua and Bennett 2001). Recently the ROMS tangent linear (TL), representer tangent linear (RP) and adjoint (AD) models (described in Moore et al. 2004; Arango et al. 2003) have been interfaced with the IOM. The resulting ROMS W4DVAR system (described in Di Lorenzo et al., 2006) has been successfully tested in a realistic 3D baroclinic upwelling system with complex bottom topography, characterized by strong mescoscale activity.
The IOM is being developed using Information Technology with modern software engineering concepts. As part of the IOM development many useful tools, such as inversion diagnostics, automatic code generators, Fortran template programming and graphical interfaces to the IOM, are made available to the data assimilation and modeling community.
Any user who is interested in using and learning the IOM system is directed to the IOM website (http://www.iom.asu.edu). On-line lectures and tutorials on weak constraint variational data assimilation are integrated with examples of using IOM through a graphical interface (GUI).
To obtain the ROMS model dependent component please contact Dr. Arango (arango@imcs.rutgers.edu). Note that ROMS also provides standalone implementations of strong (S4DVAR and IS4DVAR) and weak contraint (W4DVAR) variational assimilation platforms.
References:
Arango, H., Moore, A.M., Di Lorenzo, E., Cornuelle, B.D., Miller, A.J., Neilson, D.J., 2006. The ROMS tangent linear and adjoint models: a comprehensive ocean prediction and analysis system. IMCS, Rutgers Tech. Reports. (http://www.myroms.org/Papers/roms_adjoint.pdf)
Chua, B. and A. F. Bennett, 2001: An inverse ocean modeling system. Ocean Modelling, 3, 137-165.(http://www.myroms.org/Papers/ioms_oc.pdf)
Di Lorenzo, E., Moore, A., H. Arango, Chua, B. D. Cornuelle, A. J. Miller, B. Powell and Bennett A., 2006: Weak and strong constraint data assimilation in the inverse Regional Ocean Modeling System (ROMS): development and application for a baroclinic coastal upwelling system. Ocean Modeling, in press. (PDF http://o3d.org/manu/papers/EDL_OM_June2006.pdf)
Moore, A., H. Arango, E. Di Lorenzo, B. D. Cornuelle, A. J. Miller, and D. J. Neilson, 2003: A Comprehensive Ocean Prediction and Analysis System Based on the Tangent Linear and Adjoint of a Regional Ocean Model, Ocean Modeling, 7, 227-258. (http://www.myroms.org/Papers/Moore_2004_om.pdf)
Muccino, J.C., H.G. Arango, A.F. Bennett, B.S. Chua, B.D. Cornuelle, E. Di Lorenzon, G.D. Egbert, D. Haidvogel, L. Hao, J.C. Levin, A.J. Miller, A.M. Moore, and E.D. Zaron, 2006: The Inverser ocean Modeling System II: applications, J. Atmos. and Oceanic Tech., submitted.