In conclusion, the present atmospheric measurement network, current information on air - sea fluxes and current understanding of
vertical atmospheric transport are not sufficient to allow full use of the potential of inverse modelling techniques to infer geographically detailed source - sink distributions of anthropogenic CO2.
Not exact matches
Using 19 climate models, a team of researchers led by Professor Minghua Zhang of the School of Marine and
Atmospheric Sciences at Stony Brook University, discovered persistent dry and warm biases of simulated climate over the region of the Southern Great Plain in the central U.S. that was caused by poor modeling of
atmospheric convective systems — the
vertical transport of heat and moisture in the atmosphere.
Redistribution of heat (such as
vertical transport between the surface and the deeper ocean) could cause some surface and
atmospheric temperature change that causes some global average warming or cooling.
However, the availability of non-radiative means for
vertical transport of energy, including small - scale convection and large - scale
atmospheric motions, must be accounted for, as is done in our
atmospheric general circulation model.
Convection is characterized by a circulation pattern of rising and sinking air masses, and the
atmospheric vertical volume
transport takes place through cells of updraft and subsidence; however, these may not be coherent or stable in time and space.
Coupling of
atmospheric regions: To study some of the mechanisms that provide coupling between the upper and lower atmosphere, e.g., downward
transport of NO with its effects on ozone photochemistry and the
vertical exchange of minor species such as odd oxygen, CO, and H2O.