When there aren't any gaps in space with zero optical thickness (there is approximately a gap above TOA) and temperature varies continously over space (at
sufficient spatial resolution, this is generally true everywhere within the climate system), increasing optical thickness eventually saturates the fluxes going in opposite directions, at which point they become equal, so that the net flux is zero.
Although both methods find great use in clinical application, they do not have
sufficient spatial resolution to visualize glucose uptake down to single cells.
Not exact matches
The shape of the landscape (the details of mountains, coastline etc.) used in the models reflect the
spatial resolution, hence the model will not have
sufficient detail to describe local climate variation associated with local geographical features (e.g. mountains, valleys, lakes, etc.).
A top - down climate effect that shows long - term drift (and may also be out of phase with the bottom - up solar forcing) would change the
spatial response patterns and would mean that climate - chemistry models that have
sufficient resolution in the stratosphere would become very important for making accurate regional / seasonal climate predictions.
If I wanted to find out the historical climate for where I live, I would pick a station that operates with
sufficient historical
resolution nearby, and then perhaps choose a few others that are near neighbors and do
spatial interpolation of necessary.