Atmosphere

Atmospheric Model Development

CMI is pursuing two parallel strands in atmospheric model development.
  1. an Atmospheric Model of InterMediate complexity (AIM) which has simplified physics and high computational efficiency. Coupled to an ocean model AIM is being used extensively in CMI's aquaplanet research.
  2. a 'high-end' atmospheric model which utilizes complex parameterizations of the land surface, boundary layers, convection and radiation.

Both models use the hydrodynamical core of MITgcm.

 

 

Time-mean, zonally averaged fields from an aquaplanet simulation Image source - Marshall et al. 2007.

Hydrodynamical kernel based on MITgcm

A snapshot of atmospheric temperature (K) at 500 mb revealing th e presence of synoptic systems (top). The SST (oC) and ice distribution (bottom). The underlying cubed sphere grid can be seen - Image source - Marshall et al. 2007.
MITgcm simulates atmospheric dynamics by exploiting the isomorphism between the equations governing a Boussinesq ocean in z-coordinates and the compressible (hydrostatic) atmosphere in p-coordinates (see Marshall et al, 2004). This novel approach brings a number of advantages:
  1. all the software development (multi-processor, multi-threading, post processing) is available for deployment in the simulation of both fluids.
  2. algorithmic developments benefit both atmosphere and ocean, e.g., the partial cell approach developed in an oceanic context is reused in our atmospheric model in the implementation of the Eta coordinate.
  3. advection schemes suitable for highly non linear dynamics, that have been validated in an atmospheric context, can readily be used for eddy-resolving oceanic simulation.

The kernel is implemented on the cubed sphere and employs an Eta vertical coordinate with a non-linear lower boundary condition.

Read more about the dynamical core...

 

Click on an icon to read more about the most recent of these developments here:

Publications:

2007

Marshall, J., D. Ferreira, J-M Campin and D. Enderton (2007): Mean climate and variability of the atmosphere and ocean on an aqua-planet: J. Atmos. Sci:DOI: 10.1175/2007JAS2226.1

2004

Adcroft, A., J-M Campin, C. Hill and J. Marshall (2004) Implementation of an atmosphere-ocean general circulation model on the expanded spherical cube.  Mon. Wea. Rev., 132 (12), 2845-2863

Marshall, J. A. Adcroft, J-M Campin and C. Hill (2004) Atmosphere-ocean modeling exploiting fluid isomorphisms.  Mon. Wea. Rev., 132 (12), 2882-2894

Adcroft, A., Hill, C., Campin J-M, Marshall, J. and P. Heimbach, 2004: Overview of the Formulation and Numerics of the MIT GCM.  Proceedings of the ECMWF seminar series on Numerical Methods, Recent developments in numerical methods for atmosphere and ocean modelling, 139-149.