Not exact matches
ICARUS is gathering data on surface
radiation, heat
fluxes, and vertical profiles of the basic
atmospheric state (temperature, humidity, and horizontal wind), as well as turbulence, aerosol properties, and cloud properties.
As the
atmospheric opacity is increased (e.g., 2xCO2), the physical location of the TAU = 1 level will rise to a higher altitude, but the outgoing
flux will still come from the TAU = 1 level since
radiation doesn't care about the geometric scale), and the TAU = 1 level will still correspond to the same temperature (since the solar input energy is unchanged).
The ones that are most relevant today though are those that affect
atmospheric absorption and reflection of
radiation, and surface impacts on either radiative or hydrologic
fluxes.
Of course, there are plenty of negative feedbacks as well (the increase in long wave
radiation as temperatures rise or the reduction in
atmospheric poleward heat
flux as the equator - to - pole gradient decreases) and these (in the end) are dominant (having kept Earth's climate somewhere between boiling and freezing for about 4.5 billion years and counting).
Willis,» Surface upward LW
flux = 398 W / m2 Available solar
radiation = 162 W / m2 (after
atmospheric absorption and albedo reflection)»
Surface upward LW
flux = 398 W / m2 Available solar
radiation = 162 W / m2 (after
atmospheric absorption and albedo reflection)
where is the vertically integrated energy
flux in the atmosphere, is the net radiative energy input to an
atmospheric column (the difference between absorbed shortwave
radiation and emitted longwave
radiation), and is the oceanic energy uptake at the surface.
Trenberth's energy budget schematic appears to claim a quite assymmetrical
atmospheric radiation distribution; since he gives an outgoing longwave
flux of 235 W / m ^ 2 of which 40 W / m ^ 2 is actually a direct path from the surface; not an
atmospheric radiation.
Sea ice with its strong seasonal and interannual variability (Fig. 1) is a very critical component of the Arctic system that responds sensitively to changes in
atmospheric circulation, incoming
radiation,
atmospheric and oceanic heat
fluxes, as well as the hydrological cycle1, 2.
Given the model generated clouds, we can calculate their radiative effects on
atmospheric fluxes accurately for both solar and thermal
radiation.
The atmosphere is analogous to a flexible lens that is shaped by the density distribution of the gas molecules, of the atmosphere in the space between the sphere holding them, and space; Incoming heat gets collected in many ways and places,, primarily by intermittent solar
radiation gets stored, in vast quantities, and slowly but also a barrage of mass and energy
fluxes from all directions; that are slowly transported great distances and to higher altitudes mostly by oceanic and
atmospheric mass flows.
In contrast to this, the calculated TOA outgoing
radiation fluxes from 11
atmospheric models forced by the observed SST are less than the zero feedback response, consistent with the positive feedbacks that characterize these models.
The popular explanation of the greenhouse effect as the result of the LW
atmospheric absorption of the surface
radiation and the surface heating by the
atmospheric downward
radiation is incorrect, since the involved
flux terms (AA and ED) are always equal.
In the thread on Confidence in Radiative Transfer Models, we argued that line - by - line radiative transfer codes and the best band models can accurately simulate clear sky (no clouds, aerosols) infrared
radiation fluxes at the surface provided that the vertical profiles of
atmospheric temperature and trace gas concentrations are specified accurately.