Update: See below - I've added a video for Werner Brozek, as I promised in the comments, to help him learn the difference between science and policy and maybe pick up some critical thinking tips.
...204 months is equal to 17 years. In the “Separating signal and noise in atmospheric temperature changes: The importance of timescale” Benjamin Santer et al. stated that:
“Our results show that temperature records of at least 17 years in length are required for identifying human effects on global-mean tropospheric temperature.”
I am sure that I will be corrected if I am wrong, but in plain English, my interpretation of this statement is as follows:
“There is a lot of noise in the climate system and it is quite possible that the noise can mask the effects of man-made carbon dioxide for a period of time. However if the slope is zero for 17 years, then we cannot blame noise any more but we have to face the facts that we humans do not affect the climate to any great extent.”
Is that reasonably accurate interpretation?
No, it's not a reasonably accurate interpretation
What do you think? Is that a reasonably accurate interpretation? It would appear to the disinterested reader that Werner has re-interpreted what was written. In particular he has:
- ignored the two words "at least"
- committed a logical fallacy.
To my mind the first oversight is sufficient to show that Werner is wrong. Still, I'll present his logical fallacy, which is related to his ignoring the two important words. It is as follows:
- Santer stated that "to identify human effects at least 17 years of data is required"
- Werner turned this around and basically said "to identify human effects at most 17 years of data is required", which is wrong.
I've written about this before here when Christoper Monckton tried it on. If you want to know what Santer et al meant, the best way to find out is to go to the paper itself. In the text you will read how the longer the time period the more the signal emerges from the noise. They show that multi-decadal records are needed (at least 17 years). For example, as follows:
- Our estimated signal-to-noise (S/N) ratios for global-scale TLT changes were less than 1.0 on the 10-year timescale (Figure 6c). On the 32-year timescale, however, S/N exceeded 3.9 in all three observational TLT data sets. The latter result shows that natural internal variability, as simulated by current climate models, is a highly unlikely explanation for the observed lower tropospheric warming over the satellite era (Figure 6d). Comparisons between simulated and observed low-frequency TLT variability suggest that our estimates of S/N ratios on 5–20 year timescales are conservative (Figures 9 and 10). The strong timescale dependence of S/N ratios arises primarily because of the large decrease in noise amplitude as the period used for trend fitting increases (Figure 6b).
- The clear message from our signal-to-noise analysis is that multi-decadal records are required for identifying human effects on tropospheric temperature. Minimal warming over a single decade does not disprove the existence of a slowly-evolving anthropogenic warming signal.
Compare 17 years with 34 years of RSS data
The animation below probably says it all. I've plotted RSS data of the lower troposphere (70S to 82.5N) because that's what Werner Brozek used. The only difference is that Werner plotted monthly data from 1 November 1996 to 31 October 2013 (monthly data is noisier), whereas I've plotted annual data. The chart shows:
- the first 17 years of the RSS record, 1979 to 1996
- the second (most recent) 17 years, 1996 to 2013 - minus what hasn't happened yet this year and
- the entire 34 year period, 1979 to 2013 (with the current year to date).
![]() |
| Data Source: RSS |
- 1979 to 1996 has a steeper slope than the most recent 17 year period (0.07°C/decade), but R2 = 0.0893
- 1996 to 2013 is the least steep slope (0.02°C/decade) and R2 = 0.0108
- 1979 to 2013 has the steepest slope of all (0.12°C/decade) and R2 = 0.4701
For comparison, here is GISTemp global surface temperature anomaly with the trend line plotted from 1971 to 2012:
![]() |
| Data Source: NASA |
I have a feeling that Werner Brozek won't be celebrating for too many more months (click the climate models tab here).
Here's a sample (I nearly forgot! - How could I?) - archived here.
ConfusedPhoton says:
JimH says he's prepared to wait a bit longer:
oppti says - (you'll enjoy this comment!):
Alan the Brit says:
highflight56433 says:
Richard Milne on critical thinking - separating climate science and politics / opinion / policy.
From the WUWT comments
Here's a sample (I nearly forgot! - How could I?) - archived here.
ConfusedPhoton says:
November 4, 2013 at 6:55 am
The goal posts will be moved soon and we will see that we need 25-30 years of non warming.
It is a bit like the timing of the end of the world madmen, everytime we reach it some excuse is used and a new date is given.
Do not make the mistake that Climate ” Science” has anything to do with real science!
JimH says he's prepared to wait a bit longer:
November 4, 2013 at 7:02 am
Personally I’m waiting (hopefully) for the 20 year mark. Because then the 1980-2000 (roughly speaking) rise will be no longer than the 2000-2020 level/cooling period. I don’t think AGW will survive that. We’re nearly three quarters of the way there, as the years tick by the warmists will be getting more and more worried. I think post 2015 the cracks will really begin to show as more rats leave the sinking ship.
oppti says - (you'll enjoy this comment!):
November 4, 2013 at 7:15 am
Ric Werme 7:00
Ok so what is the RSS reading for the period 1944-1978?
Climate has long time periodicity, something CO2 has not changed completely!
Alan the Brit says:
November 4, 2013 at 7:39 am
As people have already noted, the goalpost shifting will soon begin, with warmists ready with a veritable bank of excuses as to why the Earth hasn’t warmed or indeed started to cool!!!! Under no circumstances could they be wrong!
highflight56433 says:
November 4, 2013 at 8:09 am
My contention has been that if we dilute the atmosphere’s water vapor with CO2, it will have a cooling effect. There is more correlation to this per the inter-glacial periods.
Also, temperature readings at airports are for the purposes of aircraft performance, not climate monitoring. My contention (lots of contentions) is not to use any airport weather station data. They are heat islands.
Another contention is the sun drives our climate followed by “other stuff.”
Addendum
Richard Milne on critical thinking - separating climate science and politics / opinion / policy.
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