What you were taught is correct for a usual
atmospheric column with a non-zero lapse rate.
Not exact matches
The work is an estimate of the global average based on a single -
column, time - average model of the atmosphere and surface (
with some approximations — e.g. the surface is not truly a perfect blackbody in the LW (long - wave) portion of the spectrum (the wavelengths dominated by terrestrial /
atmospheric emission, as opposed to SW radiation, dominated by solar radiation), but it can give you a pretty good idea of things (fig 1 shows a spectrum of radiation to space); there is also some comparison to actual measurements.
The physics underlying the lapse rate will insure dew point temperatures at some level in the
atmospheric column, although the level will increase
with global warming (the resulting high (er) clouds may give a positive feedback).
Radiatively warmed (whether directly or indirectly through collisions) molecules are placed higher in the
atmospheric column than can be explained just from their individual gas constants and once at that height have an enhanced cooling effect equal to their enhanced warming effect
with a zero net effect on surface temperature.
Further, even if that were not true, understanding radiative physics on the scale of the
atmospheric column can not possibly be replicated
with cardboard boxes.
Starting
with Arakawa and Lamb's second - order C - grid scheme, this paper describes the modifications made to the dynamics to create a C - grid
atmospheric model
with a variable number of cells for each vertical
column.
Consistent
with reanalysis data (Fig. 4) and theoretical considerations (36, 39), continental rainfall is assumed to be proportional to the mean specific humidity within the
atmospheric column The effect of an offset between these quantities does not change the model behavior qualitatively (see SI Appendix).
Colors show the liquid water path (amount of liquid water in
atmospheric columns) simulated
with PyCLES.
But a point you raised gnawed at me, and I tentatively reached a result that is an argument for your point of view: if you start
with our
atmospheric pressure at ground level, the difference in kinetic energy Velasco et al. specify for an altitude difference of, say, 10 km would not be measurable
with a time uncertainty less than a second even in principle unless the gas -
column width is less than something on the order of 100 nitrogen - molecule diameters across.
My experiment would involve a sealed conductive container placed at the top of an
atmospheric column containing a temperature sensor but
with an
atmospheric pressure the same as that experienced by the bottom sensor.
But it is surely also true that an atmosphere warmed at its base by conduction will transmit that heat throughout the
atmospheric column, maintaining its temperature and lapse rate, yet
with most of the molecules in that
column having the same kinetic energy (the same heat, but not the same temperature).
Areas
with very high (40,000 ppm) of water vapour can easily be compared to areas at the same latitude
with very low (nearly 0 ppm) of water vapour and the net radiation across the
atmospheric column is precisely opposite to what you insist your experiments prove.
This forcing has a particularly strong and direct impact on the surface energy cycle, but interacts
with many aspects of the surface and
column - integrated water and energy cycles through dynamical convergence, leading to large diurnal fluctuations in the
atmospheric reservoir of water vapor and total dry energy.
Because the chemistry of the ocean equilibrates
with that of the atmosphere (on time scales of decades to centuries), methane oxidized to CO2 in the water
column will eventually increase the
atmospheric CO2 burden (Archer and Buffett, 2005).
Ryan Maue, if we assume that Kevin Trenbreth has the seminal paper on
atmospheric water vapor products in the paper: «Trends and variability in
column - integrated
atmospheric water vapor», then I have the distinct view that we only have water vapor data that would pass muster
with Trenberth for the period 1988 forward and only over the oceans in the form of the RSS SSM / I measurements / reanalysis.
ENSO for example results in the shifting of the waters across the Pacific Ocean in sympathy
with the average
atmospheric pressure in the air
columns above the water.