These have very interesting potential to do
subgrid modeling in a more rigorous way and are superior as discretization methods for the Navier - Stokes equations.
Not exact matches
Tompkins, A., 2002: A prognostic parameterization for the
subgrid - scale variability of water vapor and clouds
in large - scale
models and its use to diagnose cloud cover.
Iorio, J.P., et al., 2004: Effects of
model resolution and
subgrid scale physics on the simulation of precipitation
in the continental United States.
I will try to give some insight into the reasons behind this success, focusing
in particular on the importance of
subgrid models and the associated limitations.
Pressel, K. G., S. Mishra, T. Schneider, C. M. Kaul, Z. Tan, 2017: Numerics and
subgrid - scale
modeling in large eddy simulations of stratocumulus clouds.
If you use the computer
models to tune parameters for the
subgrid models, it becomes critical to control numerical error or else the tuned parameters will only work
in the code you used with its time step and grids.
We apply a globally uniform threshold to the AGCM, and
model subgrid fluctuations
in wind speed using information from the AGCM's parameterizations of the planetary boundary layer, along with dry and moist convection.
Given that they make the bulk of vertical heat transport
in the atmosphere, not sure the
models are worth more than the expertise of the different groups into building complex
subgrid paramterisations, and this is very far from «
models implemetning first principles»... I think that at this stage, climatology have more to win from progress
in filling experimental database than from progress from
modelling.
Principal changes
in the physics
in the current version of the
model are use of a step - mountain C - grid atmospheric vertical coordinate [109], addition of a drag
in the grid - scale momentum equation
in both atmosphere and ocean based on
subgrid topography variations, and inclusion of realistic ocean tides based on exact positioning of the Moon and Sun.
We then spent months tuning the computational grid and the
subgrid model parameters (and adjusted the data
in ways not fully reported) and then we agreed with the data almost perfectly.
Lets focus down
in scale, say to a large eddy simulation
model, with resolution of say 2 m. Even such
models have parameterizations of the
subgrid motions.
This new
model is very different from earlier GFDL
models in its parameterizations of
subgrid - scale physical processes, numerical algorithms, and resolution.