I can look into how to factor in (or out) the Pinatubo eruption. Now that you have brought it to my attention, it probably dampens the growth rate for my first period, and amplifies it for my second period. So if I somehow control for it, and take it out, it will tend to increase the trend in the first period, and reduce the trend in the second. Given the timing of Pinatubo, if I do try to control for it, I’ll probably end up adjusting the time periods a bit.

Aaron, I’ve already controlled for the 98 El Nino. The trend you see before and after the data spike up in 98 is what is left after controlling for the El Nino.

you say

“To make my point clearer, are their any GCM models which can explain why temperatures in the 1993-2001 period increased at more than 3x the rate of increase from 1979 through 1992….”

Pinatubo probably explains the difference. Pinatubo erupted in June 1991 and caused considerable world-wide cooling in 1992, 1992 and possibly 1994 also. This will have the effect of exaggerating the 1993-2001 warming trend while reducing the 1979-1992 trend. Over short time periods the effect of major volcanos is significant.

I’m not sure if you can remove the Pinatubo effect but, as a rough guide, I think both 1991 and 1992 should (without Pinatubo) have been at least as warm as 1990 since there was a strong-ish El Nino in effect during 1991/92. There were also generally warmer ocean temps in the following years up to around late 1995, so 1993 and 1994 should also have recorded similar – if perhaps slightly lower – temperature anomalies.

I think the IPCC in AR4 only goes through 2005, so the “last six years” they would be talking about are not the last six years shown in my chart. And in 2005, it might have been harder to discern a downward trend from 2001 than it is today. However, I would venture the possibility that had they looked at the data for 1999 to 2005 carefully, they would have been forced to acknowledge that there was no trend, i.e. that any “trend” for those years was not significantly different than zero. You can almost see this just looking at the other chart I posted:

http://i27.tinypic.com/2r74myd.jpg

From 2001 to 2005, it is certainly hard to visualize any discernible trend, and given the monthly variation in the data it would be highly unlikely to find a “statistically significant” trend of any kind in the data.

While three of the four trend variables since 2001 are significantly different than zero, I wouldn’t be surprised to find them significantly different than the trend value for the preceding period. When I have time this week, I’ll check it out.

In my opinion, your calculations contradict the latter statement. It is true that the noisiness of the data is such that the downward trend in observed temperature between Jan 2002 and Jan 2008 may prove to be a blip in a long-term upward trend – but that remains to be seen.

I understand that it is the trend that would have to be adjusted by 1.2x. That’s why I called attention to the 1.36x trend difference for the period of greatest warming, 1993 through 2001. It is already there, no need to adjust the data. Since 2001, all the metrics show cooling, but the numbers are all over the place, and it doesn’t look like a similar simple comparison between land-sea and satellite metrics holds. This could be because the period is shorter and the data otherwise too uncertain or variable to yield any precise inferences. Do note that in the 1993-2001 period, all the trends are statistically significant, while that’s not the case for the period since 2001.

I’m not convinced that the 1.2x difference that should be there is going to be discernible. There is too much variation as it is, with the effects of ocean circulations, La Nina’s and El Nino’s, and such. It would probably take a century of steady warming to see a 1.2x difference that is statistically discernible. So far, we’ve only 28 years of satellite data. Let’s look at this again in 2079. ;)

What I really think is useful about all this analysis is in showing that there isn’t a discernible difference. I.e., the data are too noisy to meaningfully test a significant AGW/GCM hypothesis. And hypotheses that cannot be tested are not scientific. To make my point clearer, are their any GCM models which can explain why temperatures in the 1993-2001 period increased at more than 3x the rate of increase from 1979 through 1992, and then simultaneously explain a 3x cooling since then? Oh, and don’t anyone blame the 1993-2001 warming on the 1998 El Nino. I haven’t reported the statistics on my ’98 El Nino variables, but the trend for 1993-2001 excludes the effect of the ’98 El Nino. You can see that in the trend lines, though.

No, no, it’s worse, Basil, it’s so much worse if I am reading this correctly. I think Raven is right:

Christy isn’t saying tha DATA is adjusted (divided) by 1.2 That would be easy.

He says the TREND of the data has to be adjusted by that factor. The slope.

I wouldn’t even know how to begin to adjust for that! (My usual method is to stand well back and radio in for brain support.)

But if sat. trends are lower than surface trends, Houston, we got a problem. And except for the 1993-2001 slice which has a lot of up-down action, we’re seeing a lot of that.

I believe the adjustment is only necessary if one wishes to use the data assert that GHGs caused the warming. In that case, the models tell us that the satellite temperatures trends must be higher than the surface trends.

If something other than GHGs cause the warming/cooling (i.e. the sun) then a different correction would need to be applied. I am speculating on the last point. Dr. Christy did not elborate on his comment on CA.

Fair point about satellite and land-sea temperatures not being measures of the same thing. However, I don’t think we have to adjust the data by 1.2x. Actually, isn’t this roughly what is shown for the period when warming was the greatest, 1993 through 2001? Look at the trends I posted. The average for the two land-sea sets is 0.194C/decade, and for the two satellite series is 0.263C/decade. That works out to the troposphere warming at 1.36x the rate of the surface.

When I have time — not before next week — I’ll break the composite into two, one each for the two land-sea series, and the satellite series.

BTW, is the 1.2x from the CGM’s the result of CO2 forcing, or does it hold for any source of warming at the surface, and how it plays out in the troposphere? And what about cooling, like we’ve had since 2001? Does the troposphere cool at 1.2x the rate of surface cooling?

Thanks for the observation.

14°C on the nose for GISS.

All climate models indicate the global tropospheric temperature should warm at a rate of 1.2 times that of the surface

Whoah. Wait I’ve got this all wrong.

It’s not the OFFSET tha’s 1.2 x surface. It’s the dang TREND. The RATE. Oh, hell. That makes it complicated!

I must assume “trend” applies to both warming and cooling. So adapting straight sat. data to surface is a TOTALLY apples/oranges conversion. Ugh! (I just hate it when multiplication drinks Mr. Hyde juice and turns into calculus.)

“Now, I have one misrepresentation to point out on Steve M.’s charts. The temperature comparisons shown are not apples to apples. All climate models indicate the global tropospheric temperature should warm at a rate of 1.2 times that of the surface (1.4 times that of the surface for the tropics – see CCSP SAP 1.1. or Douglass et al. 2007). So, to put surface temperature projections from models on a chart with observed tropospheric temperatures, one must reduce the tropospheric temperature trend by a factor of 1.2 for the comparison to be legitimate. I think the result would be of interest to the readers, and it is entirely defensible as shown in numerous publications”

The satellite data is lower troposphere – not surface so it is not comparible directly to surface measurements.

The fact that GISS includes extremely unreliable and sparse data from the poles is one of the reasons why it is not the best dataset to use for analysis. That said, the poles only make up small percentage of the earth’s area and one of the poles is cooling so I don’t see how the pole data can explain the differences.