Not exact matches
They can be simulated to some degree in high
resolution cloud resolving
models; not sure about [numerical
weather prediction]
models, probably not in climate
models.
The differences are (1) that you can not afford spatio - temporal
resolution of
weather models to simulate thousand years forward, and (2) in
weather model you don't care if your
prediction will blow up in 100 years yielding Venus condition or Ice Ball, you just stop the computer after a week of simulated time, and start over.
Projections of these changes of risk using
models in which changes in the background climate are incorporated, and applied using
models that do a fair job at the short time scale (like high
resolution weather prediction, or hydrological discharge, or...) is thus a viable procedure, and does yield added value.
We can perhaps learn from numerical
weather prediction where the benefits of developing global
prediction models with high vertical and horizontal
resolution are clear cut (confirmed most recently by
predictions of Sandy).
JIGSAW (GEO) is a set of algorithms designed to generate complex, variable
resolution unstructured meshes for geophysical
modelling applications, including: global ocean and atmospheric simulation, numerical
weather prediction, coastal ocean
modelling and ice - sheet dynamics.
As these
models through research and development, become more skilled at higher and higher
resolution and gain the capability of replicating increasingly complex
weather phenomena, the public, through the
predictions of the National
Weather Service, will be better served through more precise
weather predictions for places and times where you are.
There are many drivers for increased
resolution (spatial and temporal) surface observations, not least being new high
resolution numerical
weather prediction (NWP)
models.
It is worth noting that some high -
resolution operational numerical
weather prediction models have demonstrated reasonable ability in forecasting tropical cyclones.