the climate modeling and Diagnostics Group at the Lamont-Doherty Earth Observatory (LDEO) of the Earth Institute at Columbia University includes more than 200 researchers studying the origin, evolution, and future of the natural world. The Climate Modeling Group carries out research in climate modeling and climate change, also taking into account important issues in the phenomenon of global warm ing, such as El Niño/Southern Oscillation. Climate Group builds on the data produced from general circulation models (GCMs) to answer fundamental science questions.
LDEO is developing several climate models. The Lamont Ocean-AML GCM (LOAM) is a recent recreation of the Gent-Cane Primitive Equation Ocean Model with many supplementary elements. It was developed for modeling the equatorial Pacific on a stretched longitude/latitude A-grid. Most of the horizontal features have been kept in the present version. The fourth order time and space (horizontal) discretization has been retained, the Shapiro filters (reduced, conservative, narrow passage modifications) are still used, and most of the old options remain. The only major exception is that the reduced-gravity setup (assuming no motion at depth) is not currently supported in this version, but could be reintroduced. The major changes from the original Gent/Cane model are the vastly improved I/O handling, a barotropic solver, a new ocean mixed-layer parameterization and an atmospheric mixed layer (AML).
The Coupler for the Atmosphere with Multi Element LOAM (CAMEL) was partly funded by the Lamont-Doherty Earth Observatory Investment Fund (LIF). The underlying idea of this project is to create a simple tool to combine atmosphere, land, ocean, and sea-ice models. CAMEL interpolates the surface fluxes computed in the atmosphere model to land, ocean, and sea-ice models. It also interpolates the surface temperature computed in these models to the atmosphere model.
The models can be kept as separate executables and the communication is done by reading/writing netCDF files. The interpolations and scheduling is all done by CAMEL, with the separate models waiting for updated information. If any of the components are already coupled into one model, as in CCM3(atmosphere) and LSM (land) , then CAMEL does not interfere, but does the coupling only between separate models. More generally, CAMEL can be used to patch together the surface conditions of multiple models. In addition, in any geographic area, climatological surface conditions may be combined with model output.
The Climate Model Data Documentation Project (CMDDP) was born of the need to analyze model data to support the scientific conclusions. This raised
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