ENSO-like variability in the coupled climate model ECHAM-FESOM featuring an unstructured ocean component

Thomas.Rackow [ at ] awi.de


We analyse the ENSO-like variability in the newly established global climate model ECHAM-FESOM. This is the first global coupled model with an ocean module supporting unstructured meshes. The Finite Element Sea Ice - Ocean Model (FESOM) is a dynamical ocean model development at AWI Bremerhaven. In contrast to conventional ocean models, the spatial discretization is based on the Finite Element method. This method allows a variable spatial resolution of the triangular surface mesh with high mesh-stretching factors. FESOM has been used in numerous recent, yet uncoupled, studies. Its validation in the climate context is still ongoing activity. ECHAM is a state-of-the-art spectral atmosphere model developed at the Max-Planck-Institute for Meteorology in Hamburg for climate modelling purposes. We apply the latest generation, version 6, with a T63L47 resolution. FESOM and ECHAM are currently coupled by the OASIS3-MCT coupler and a structured exchange mesh. We analyse two simulation runs that differ in the tropical ocean mesh resolution between 15°N and 15°S. Setup 1 uses a reference mesh with a resolution of about 1° in the tropics. In contrast, Setup 2 has a higher resolution of 1/4° (in a narrow band around the equator) that gradually decreases to 1°. Outside the tropics both meshes are identical. Modelled Nino3.4 indices are compared with observations and the influence of the mesh resolution is discussed.

Item Type
Conference (Poster)
Primary Division
Primary Topic
Publication Status
Event Details
EGU General Assembly 2013, 07 Apr 2013 - 12 Apr 2013, Vienna, Austria.
Eprint ID
Cite as
Rackow, T. , Sidorenko, D. , Semmler, T. and Jung, T. (2013): ENSO-like variability in the coupled climate model ECHAM-FESOM featuring an unstructured ocean component , EGU General Assembly 2013, Vienna, Austria, 7 April 2013 - 12 April 2013 .

[thumbnail of EGU2013_ENSO-likeVariability.pdf]

Download (3MB) | Preview
Cite this document as:

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Geographical region

Research Platforms


Edit Item Edit Item