VillagePlank, on 17 February 2010 - 18:19 , said:
Arrhenius1 made some observations himself that seem, on the face of it, reasonable - but, for me, not necessarily obvious.
Firstly, the nebulosity (I had to look it up - it means cloudiness) of the southern hemisphere, presumably on account of the southern oceans, means the effect will be less than the Northern hemisphere (important implications in measuring global temperature: should we, or do we, account for this?)
Secondly, an increase in C02 will reduce diurnal range of temperatures. He fleets over this, and I don't understand why, and I can't find any source that explains it, either.
Thirdly, that the difference between the equator and the poles are different because "those places ... alter their albedo by the extension or regression of the snow-covering" So temperature increases at the poles are larger with the same C02 differential2.
Add that lot together, and, it seems to me, at least one of the constants, probably alpha, needs to be some function of albedo. Not a great surprise, but I didn't expect to see it.
(Sorry if this is excess to requirements - this is the sort of thing that, ahem, gets me going, one might say. The hunt for the alpha function is on!)
1: On the Influence of Carbonic Acid in the Air upon the Temperature of the Ground, Svante Arrhenius, Philosophical Magazine and Journal of Science, Series 5, Volume 41, April 1896, pages 237-276. page 265
2: As above, page 257
Going back to this post (sorry a bit of jumping around), as I rarely get time to look in on this thread.
I think it's important to note that Svante Arrhenius's work is old and predates alot of what is known nowadays about global temperature re-distribution, so although I have a lot of respect for him we have moved on lot, with atmospheric cell placement (i.e hemisphere triple cell, Jet Stream, Ocean conveyors etc).
albedo was pretty much the only mechanism known back then, not so now.
WRT to climate sensitivity (Lambda?), we are not talking about a simple formula IMO, which is why climate modelling is so important everything from the percentage of GHG to the age of the GHG (atmospheric lifetimes reduce GHG effectiveness on a range of scales depending on the molecule.), through to the height of the GHG in the atmosphere through to distribution within the atmosphere, CFC's are a good example here.
you can then role in various factors such as albedo, WV etc.













