This post examines how radiative forcing depends on CO2 concentrations in the atmosphere. In CO2 greenhouse demystified, we calculated the effective emission height where “thermal” photons escape to space . This height depends on the lapse rate temperature and defines the outgoing radiative flux for a given wavelength. By integrating over all lines in the CO2 15 micron band we were able to derive by how much the radiative flux reduced for a doubling of CO2. This “instantaneous” energy imbalance is usually called radiative forcing. Now we study how in detail how this radiative forcing depends on CO2 concentration. Figure 1 shows CO2 induced radiative forcing varies as a function of fractional concentration (C/C0), assuming a constant surface temperature of 288 K and a constant lapse rate.

The increase shows an approximately logarithmic dependency. A best fit to the data for CO2 concentrations from 100ppm(as reference) up to 1000 ppm(C/C0=10), assuming a fixed surface temperature and stable atmosphere gives

**R.F = 6.6 log (C/C0) , where C is CO2 .**

We have derived the often quoted formula in climate science for the radiative forcing for a CO2 increase from concentration Co to C. This canonical equation is given by ~5.4 log (C/C0)[1] ! OK so our result is about 20% higher – but that is pretty good IMHO, since the formula is never explained without reference to results from various GCM black boxes. Now we see here how it can be approximately derived just from changes to the emission height with increasing CO2.

Figure 2 shows the Planck spectra for a range of concentrations showing how OLR reduces with increasing CO2 to produce this dependence.

Finally we can also make an estimate for the net change in surface temperature due to CO2.

Averaging over clouds(), oceans and land() we then get a global averaged

If we assume that each increment in forcing DS is offset by the same increase in Black Body radiation due to a small surface temperature rise DT, then we can iterate through long term increases in CO2 concentrations. The result is shown in Figure 3.

**Summary:** By calculating effective emission heights for Co2 we have shown that:

1. Modern levels of 300 ppm of CO2 have resulted in an average surface temperature ~ 4 deg.C higher than an atmosphere free of CO2.

2. A doubling of CO2 from 300 – 600 ppm results in a further ~1.5C increase in surface temperatures.

Published results from more sophisticated GCMs reduce these figures by ~ 20%.

**References**

[1] Myhre et al. New estimates of radiative forcing due to well mixed greenhouse gasses Phys.Rev.Lett., 25, 2715-2718,1998

CB, I appreciate what you are doing with this series of posts, in providing an outsider’s sanity check.

To me it seems much of the uncertainty is partitioning the marginal effects between radiative transfer for an atmospheric profile and how that atmospheric profile is modified by convective properties of the variable gases. These pieces don’t lock together tightly, and nothing appears to dominate. Yet they have to work together to balance the energy flows and approach some sort of steady state.

Whenever this kind of coupling occurs, I have noticed that physicists like to use variational approaches ala Lagrange multipliers as a solution strategy.

This paper (On Maximum Entropy Profiles) by Verkley and Gerkema use a similar clean exposition of thermodynamic relationships that you are applying and adds in a variational strategy:

http://journals.ametsoc.org/doi/pdf/10.1175/1520-0469%282004%29061%3C0931:OMEP%3E2.0.CO%3B2

Attaching your radiative profile to their variational approach may be the missing link in narrowing down the uncertainty. We still may not know what the multipliers mean but it is something to consider.

Thanks for the suggestion. I am going to study their paper.

One interesting coincidence I found was that the CO2 radiative energy flux through the atmosphere seems to be maximised at exactly 300ppm. Too little and surface radiation takes over, too much and there is less radiative transfer upwards. It is almost as if the CO2 concentrations are driven to this value by thermodynamics.

Hi Clive. The ‘modern level is 400ppm not 300ppm isn’t it?

Very true !

I think I was meaning modern as in mid 20th century ! The exercise was to understand the formula DS = 5.3ln(C/C0). I understand now how it arises. Of course there is also the assumption that nothing else changes. So for example that the lapse rate remains constant. If the lapse rate decreases the GHE also decreases.

Thanks Clive. The assumption that ‘all other things remain equal’ is indeed a dangerous one. Miskolczi’s analysis of radiosonde data revealed that atmopheric opacity hardly varied over the period of record, despite the increase in airorne co2.

In tracing the genesis of radiative forcing, it was affirming to find someone coming to the same conclusion, that the RF=5.3 ln(C/Co) “formula is never explained without reference to results from various GCM black boxes.” Is this still the case?

In your March 1, 2013 reply to WebHubTelescope, you mention a maximum radiative flux through the atmosphere at 300 ppm. I don’t see that inflection appearing in any of the figures in your post. Has this been followed up anywhere? This could be a path to explaining the limitations of the logarithmic radiative forcing formula which predicts negative forcing for CO2 below any arbitrary CO2 reference value.

Yes the formula RF = 5.3 ln(C/C0) is simply a fit made to the results of different GCM models where CO2 is increased and everything else is kept constant. The origin of this formula is a paper by Myhre et al. (see ref 1). I think it is avialable for free if you search on google.

Forcing is logarithmic with CO2 because most of the central lines in the 15 micron absorption band are already saturated through out the troposphere. In the lower stratosphere temperature is constant with height so there is zero forcing. The central line actually gives negative forcing because temperature increases with height in the upper stratosphere so that MORE IR is radiated with increased CO2 – i.e. increased cooling !

The net positive forcing is due to the side lines in the main band increasing absorption reducing outgoing IR. The net result is a logarithmic increase as I was also able to prove above with my simple model.

The reference to the maximum radiative flux form the atmosphere is based on a previous study – see http://clivebest.com/blog/?p=4345 (and previous post) where you can also download a very simple excell spreadsheet radiative transfer model. When I went on to look at how the fraction of OLR originating from the surface or atmosphere varies with concentration – see http://clivebest.com/blog/?p=4475 I got this result

The maximum radiative heat loss due to CO2 from the atmosphere occurs at ~300ppm. That can’t be a coincidence. Why else should the natural level for CO2 at current temperatures on earth be 300ppm ? Why not 1000ppm ?

1) Clive, in your plot of OLR vs. CO2, Tsurf is going to vary as a function of CO2. What is the effect on your plot of taking this dependence into account, for climate sensitivities of (i) 1.0, (ii) 2.0, (iii) 3.0, (iv) 4.0?

2) Although CO2 has been hovering around 300 ppmv for the past two or three million years, that’s less than 0.1% of Earth’s life. Most of it has been spent at much higher CO2 levels, with the decline to the current level taking place during the 65 My of the Cenozoic Era. That said, an answer to 1) could conceivably show that your peak moves up as Tsurf increases, though it would be remarkable if your observation remained true over a wide range of Tsurf’s for some plausible sensitivity.

One candidate for a regulator holding CO2 at 300 ppmv is plant life, which would appear to be the main consumer of CO2, lowering it by successfully sequestering it throughout the Cenozoic. This is a self-limiting process as plant life depends on CO2. During glaciations of the Quaternary, net global plant activity decreases allowing them to get by with CO2 down to 200 ppmv, but in the warm periods in between they need to allow the CO2 to rise in order not to starve themselves. All very hypothetical, but an alternative to the peak of your curve as an explanation of why 300 ppmv: if the plants lower CO2 any further they starve and the CO2 then rises back up, a regulating mechanism. At the start of the Cenozoic plants weren’t as demanding, but as their demands grew the CO2 decreased to the lowest feasible limit for type C3 plant life.

Type C4 is a relatively recent innovation aimed at reducing dependence on CO2. As C4 takes hold we may find CO2 being pushed down below the Quaternary levels. However cold then becomes a limiting factor, and C4 may turn out to be useful for plants mainly as a niche innovation. Plants may have even figured this out already.

All this could benefit from more equations.