When considering the radiative response (change in net outward radiation with zero change in applied forcing) delta_R to a change in surface temperature delta_T, which is what ‘climate feedback’ refers to, it is logical to regress delta_R on delta_T. As there is more fractional noise in delta_R than in delta_T, one would want to do it this way round anyway if using OLS.

I agree that it is the SD of the errors in x and y that is needed for Deming regression – IIRC just the ratio of their errors is in fact sufficient. I inadvertently misworded that sentence. Good spot.

]]>Thanks. FYI, I plan shortly to post an article about another, somewhat more central, part of this paper. ]]>

I read this post two times completely through. I didn’t read the paper though so all I can say is that it is extremely clearly written and I don’t see any controversy with your version of the math. Thanks again for your extreme efforts.

]]>I’d be interested to know what you think after you’ve had a chance to look at their studies. ]]>

Plus their recent talk link.

Neville.

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