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Reconciling Model-Observation Reconciliations

Jack Hays

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Here Steve McIntyre tries to make sense of (and reconcile) the different "model vs observations" presentations with which we have all become too familiar. I think both AGW believers and skeptics will find this interesting.

[h=2]Reconciling Model-Observation Reconciliations[/h]Nov 18, 2017 – 3:38 PM
Two very different representations of consistency between models and observations are popularly circulated. On the one hand, John Christy and Roy Spencer have frequently shown a graphic which purports to show a marked discrepancy between models and observations in tropical mid-troposphere, while, on the other hand, Zeke Hausfather, among others, have shown graphics which purport to show no discrepancy whatever between models and observations. I’ve commented on this topic on a number of occasions over the years, including two posts discussing AR5 graphics (here, here) with an update comparison in 2016 (here) and in 2017 (tweet).

There are several moving parts in such comparisons: troposphere or surface, tropical or global. Choice of reference period affects the rhetorical impression of time series plots. Boxplot comparisons of trends avoids this problem. I’ve presented such boxplots in the past and update for today’s post. . . . .



Conclusion
What does this all mean? Are models consistent with observations or not? Up to the recent very large El Nino, it seemed that even climate scientists were on the verge of conceding that models were running too hot, but the El Nino has given them a reprieve. After the very large 1998 El Nino, there was about 15 years of apparent “pause”. Will there be a similar pattern after the very large 2017 El Nino?
When one looks closely at the patterns as patterns, rather than to prove an argument, there are interesting inconsistencies between models and observations that do not necessarily show that the models are WRONG!!!, but neither are they very satisfying in proving that that the models are RIGHT!!!!

  • According to models, tropospheric trends should be greater than surface trends. This is true over ocean, but not over land. Does this indicate that the surface series over land may have baked in non-climatic factors, as commonly argued by “skeptics”, such that the increase, while real, is exaggerated?
  • According to models, marine air temperature trends should be greater than SST trends, but the opposite is the case. Does this indicate that SST series may have baked in some non-climatic factors, such that the increase, while real, is exaggerated?
From a policy perspective, I’m not convinced that any of these issues – though much beloved by climate warriors and climate skeptics – matter much to policy. Whenever I hear that 2016 (or 2017) is the warmest year EVER, I can’t help but recall that human civilization is flourishing as never before. So we’ve taken these “blows” and not only survived, but prospered. Even the occasional weather disaster has not changed this trajectory.
 

[h=1]Why Climate Models Run Hot[/h]by Rud Istvan, EPA administrator Pruitt wants to “Red Team” the catastrophic anthropogenic global warming (CAGW) consensus best reflected in the IPCC assessment reports (AR). At its core, CAGW rests on just three propositions: 1. CO2 is a ‘greenhouse’ gas retarding radiative cooling. This should not be in serious dispute since Tyndall experimentally proved…

July 6, 2017 in Modeling, Temperature.
 

[h=1]“Is Climate ‘Lukewarmism’ Legitimate?”[/h]Guest post by David Middleton A very thoughtful column by Ross Pomeroy at Real Clear Science… Is Climate ‘Lukewarmism’ Legitimate? By Ross Pomeroy September 25, 2017 To many, prominent writers Matt Ridley, Ross Douthat, and Oren Cass are a baffling bunch. They are the visible proponents of the position that climate change is real, manmade, and occurring…

September 25, 2017 in Lukewarmerism.
 

[h=1]Global climate models may be misjudging methane releases into the atmosphere[/h]From the Ohio State University and the “settled science” department. Results suggest more methane may be released into atmosphere than thought COLUMBUS, Ohio–A study of a Lake Erie wetland suggests that scientists have vastly underestimated the number of places methane-producing microbes can survive — and, as a result, today’s global climate models may be misjudging…
Continue reading →
 

[h=1]Global climate models may be misjudging methane releases into the atmosphere[/h]From the Ohio State University and the “settled science” department. Results suggest more methane may be released into atmosphere than thought COLUMBUS, Ohio–A study of a Lake Erie wetland suggests that scientists have vastly underestimated the number of places methane-producing microbes can survive — and, as a result, today’s global climate models may be misjudging…
Continue reading →

Maybe we can harvest, grow, and control these microbes, and have them make methane for us to produce power with, instead of releasing methane into the atmosphere.
 
LOL. Compares blog post with published peer reviewed studies and concludes: ‘we just don’t know!’.

Still taking cover behind the authority argument. But the data are relentless. You can run, but you can't hide.
 
He has multiple publications, but this is an irrelevant deflection in any case. As I said, you can run but you can't hide.

Yes, but the graph you guys seem to be obsessed with and post over and over and over again is only present on a blog. Never published, and multiple critiques from climate scientists show why it never will be.

But it doesnt stop McIntyre from pretending its credible.
 
https://wattsupwiththat.com/2017/11...judging-methane-releases-into-the-atmosphere/
[h=1]Global climate models may be misjudging methane releases into the atmosphere[/h]From the Ohio State University and the “settled science” department. Results suggest more methane may be released into atmosphere than thought COLUMBUS, Ohio–A study of a Lake Erie wetland suggests that scientists have vastly underestimated the number of places methane-producing microbes can survive — and, as a result, today’s global climate models may be misjudging…
Continue reading →

th
 
Yes, but the graph you guys seem to be obsessed with and post over and over and over again is only present on a blog. Never published, and multiple critiques from climate scientists show why it never will be.

But it doesnt stop McIntyre from pretending its credible.

Ignorance is a poor weapon in a debate.

". . . Spencer and Christy’s comparisons are for satellite data (lower troposphere.) They typically show tropical troposphere, for which the discrepancy is somewhat larger than for the GLB troposphere (shown below.) The median value from models is 0.28 deg C/decade, slightly more than double observed trends in UAH (0.13 deg C/decade) or RSS version 3.3 (0.14 deg C.) RSS recently adjusted their methodology resulting in a 37% increase in trend (now 0.19 deg C/decade.) The UAH and RSS3.3 trends are below all but one model-run combinations. Even the adjusted RSS4 trend is less than all but two (of 102) model-run combinations.
The obvious visual differences in this diagram illustrate the statistically significant difference between models and observations. Many climate scientists e.g. Gavin Schmidt are deniers of mainstream statistics and argue that there is no statistically significant difference between models and observations. (See CA discussion here.) . . .
 
Ignorance is a poor weapon in a debate.

". . . Spencer and Christy’s comparisons are for satellite data (lower troposphere.) They typically show tropical troposphere, for which the discrepancy is somewhat larger than for the GLB troposphere (shown below.) The median value from models is 0.28 deg C/decade, slightly more than double observed trends in UAH (0.13 deg C/decade) or RSS version 3.3 (0.14 deg C.) RSS recently adjusted their methodology resulting in a 37% increase in trend (now 0.19 deg C/decade.) The UAH and RSS3.3 trends are below all but one model-run combinations. Even the adjusted RSS4 trend is less than all but two (of 102) model-run combinations.
The obvious visual differences in this diagram illustrate the statistically significant difference between models and observations. Many climate scientists e.g. Gavin Schmidt are deniers of mainstream statistics and argue that there is no statistically significant difference between models and observations. (See CA discussion here.) . . .

Cut and paste all you want.

It’s still a blog post, unfit for peer review.

But fit for denier review!
 
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