[Perhaps this is obvious, but since nothing seems to obvious to state explicitly here, when I say «you use the same equations», I mean the standard equations used
in all radiative transfer calculations, i.e., those used by scientists and engineers in practical calculations every day (as David M Hoffer has pointed out).]
(That's why
in radiative transfer calculations satellite data are used).
The mean - free - path is not typically utilized
in radiative transfer calculations.
Not exact matches
The basic principle for the development of ARTS is to provide a code that can be applied for many different applications concerning
radiative transfer calculations in the microwave region.
Line - by - line type
radiative transfer calculations used to find a forcing for a certain fractional change
in CO2 (e.g., the Myhre et al 1998 paper) can not be applied to conditions like Venus or ancient Earth.
As the paper says atop its 2nd page; «We evaluate the
radiative transfer in the range 50 — 100,000 / cm (0.1 — 200 microns) as a combined solar and thermal
calculation.»
It presented quite correct
calculations of the
radiative heat
transfer including results that were very close of proving his conclusions wrong, but he stopped just short of doing the last step that would have resulted
in that.
Here, using fully coupled global climate model integrations,
in addition to
radiative transfer model
calculations, the authors confirm the existence of such a negative RFTOA: INST over parts of Antarctica
in response to an
in - stantaneous quadrupling of CO2.
Its main argument is that idealized blackbody
calculations did not correctly predict the Moon's surface temperatures
in the 1960s because other factors besides
radiative heat
transfer equations actually determine real surface temperatures.
Methane does produce some stratospheric water vapor
in AOGCMs and therefore a forcing slightly different from simple
radiative transfer calculations.
When you get to models, the
radiative transfer calculations are highly parameterized and those parameterizations have been known to have been wrong
in the past for some models.
Column
radiative forcing
calculations by fifteen
radiative transfer codes of varying complexity (Boucher et al., 1998) show that, for well constrained input data, differences
in the computed
radiative forcing when clouds are excluded are relatively modest at approximately 20 % (see Figure 6.3).
And, there is plenty of empirical data at every level: There is empirical data on the basic absorption lines of the various atmospheric constituents, there is a wealth of empirical data backing up the basic equations of
radiative transfer that are applied
in calculating the greenhouse effect
in just the same way that engineers and scientists use these equations everyday
in other
calculations, there is empirical spectra looking both up from the surface of the earth and down from satellites.
Van Diedenhoven, B., O.P. Hasekamp, and J. Landgraf, 2006: Efficient vector
radiative transfer calculations in vertically inhomogeneous cloudy atmospheres.
The whole algorithm applied
in my
calculations is
in Modest's book on
radiative heat
transfer.
1950s: Research on military applications of radar and infrared radiation promotes advances
in radiative transfer theory and measurements = > Radiation math — Studies conducted largely for military applications give accurate values of infrared absorption by gases = > CO2 greenhouse — Nuclear physicists and chemists develop Carbon - 14 analysis, useful for dating ancient climate changes = > Carbon dates, for detecting carbon from fossil fuels
in the atmosphere, and for measuring the rate of ocean turnover = > CO2 greenhouse — Development of digital computers affects many fields including the
calculation of radiation
transfer in the atmosphere = > Radiation math, and makes it possible to model weather processes = > Models (GCMs)-- Geological studies of polar wandering help provoke Ewing - Donn model of ice ages = > Simple models — Improvements
in infrared instrumentation (mainly for industrial processes) allow very precise measurements of atmospheric CO2 = > CO2 greenhouse.
The question of whether the IPCC's values of 3.7 W / m2 and 1.2 C are correct
in the sense they're useful for further
calculations goes beyond whether HITRAN gets the values right
in the very narrow view of
radiative transfer, it describes today.