Regional superparameterization in a global circulation model using Large Eddy Simulations
As a computationally attractive alternative for global large eddy simulations (LESs), we investigate the possibility of using comprehensive three‐dimensional LESs as a superparameterization that can replace all traditional parameterizations of atmospheric processes that are currently used in global models. We present the technical design for a replacement of the parameterization for clouds, convection, and turbulence of the global atmospheric model of the European Centre for Medium‐Range Weather Forecasts by the Dutch Atmospheric Large Eddy Simulation model. The model coupling consists of bidirectional data exchange between the global model and the high‐resolution LES models embedded within the columns of the global model. Our setup allows for selective superparameterization, that is, for applying superparameterization in local regions selected by the user, while keeping the standard parameterization of the global model intact outside this region. Computationally, this setup can result in major geographic load imbalance, because of the large difference in computational load between superparameterized and nonsuperparameterized model columns. To resolve this issue, we use a modular design where the local and global models are kept as distinct model codes and organize the model coupling such that all the local models run in parallel, separate from the global model. First simulation results, employing this design, demonstrate the potential of our approach.
|Keywords||Superparameterization, Multiscale modeling, Large eddy simulation, Model coupling|
|Persistent URL||dx.doi.org/10.1029/ 2018MS001600|
|Journal||Journal of Advances in Modeling Earth Systems|
|Project||Towards cloud-resolving climate simulations|
Jansson, F.R, van den Oord, G, Pelupessy, F.I, Grönqvist, J.H, Siebesma, A.P, & Crommelin, D.T. (2019). Regional superparameterization in a global circulation model using Large Eddy Simulations. Journal of Advances in Modeling Earth Systems, 11. doi:10.1029/ 2018MS001600