Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
MS Records 
gmd-2017-281     Submitted on 05 Nov 2017
Propagation of Error and the Reliability of Global Air Temperature Projections
Patrick Frank
First Contact: Patrick Frank, pfrank830@earthlink.net
Agreed licence: Creative Commons Attribution 4.0 International
Handling Topical Editor: James Annan, jdannan@blueskiesresearch.org.uk
Manuscript Type: Methods for assessment of models
Status: Rejected (GMD Discussions)      Iteration: Initial Submission

Initial Submission 
Topical Editor Initial Decision: Reject (07 Nov 2017) by James Annan
Comments to the Author:
This manuscript is silly and I'd be embarrassed to waste the time of reputable scientists by sending it out for review. The trivial error of the author is the assumption that the ~4W/m^2 error in cloud forcing is compounded on an annual basis. Nowhere in the manuscript it is explained why the annual time scale is used as opposed to hourly, daily or centennially, which would make a huge difference to the results. The ~4W/m^2 error is in fact essentially time-invariant and thus if one is determined to pursue this approach, the correct time scale is actually infinite. Of course this is what underpins the use of anomalies for estimating change, versus using the absolute temperatures. I am confident that the author has already had this pointed out to them on numerous occasions (see refs below) and repeating this process in GMD will serve no useful purpose.



Topical Editor found (07 Nov 2017) James Annan agreed to serve as Topical Editor
Topical Editor Call First Choice (07 Nov 2017)
Uploaded Files validated (07 Nov 2017) by Anna Wenzel
iThenticate.com Similarity Report completed (07 Nov 2017) similarities negligible / not found
File Upload (07 Nov 2017) by Anna Wenzel      Manuscript      
File Upload (05 Nov 2017) by Patrick Frank      Abstract      Manuscript (deleted)      Supplement      
Registered (05 Nov 2017)
Cover Letter (Information for the Topical Editor):
5 November 2017

Prof. J. Hargreaves
BlueSkiesResearch.org.uk
The Old Chapel, Albert Hill
Albert Hill
SETTLE BD24 9HE
United Kingdom

Dear Prof. Hargreaves,

Please find the manuscript, “Propagation of Error and the Reliability of Global Air Temperature Projections,” for submission to Geoscientific Model Development.

This study analyzes GCM physical error. It does not concern climate modeling as such or the physics of climate. The first propagation of error through GCM global surface air temperature projections is reported.

Propagation of error is standard in science to evaluate the predictive reliability of a physical model. However, until now, GCMs have never been so evaluated. The fundamental distinction of accuracy from precision is central to this understanding.

New critical results include the following demonstrations:
1. That GCM global surface air temperature projections are linear extrapolations of greenhouse gas forcing.
2. That error in simulated global cloud cover is highly pair-wise correlated among CMIP5 GCMs, implying a common systematic theory-bias.
3. That average annual CMIP5 long-wave cloud forcing (LWCF) error is ±114 times larger than the average annual 0.035 Wm-2 increase in CO2 forcing.
4. That GCM linearity means that systematic LWCF error propagates through air temperature projections as the root-sum-square.
5. That propagated LWCF error produces a centennial uncertainty of ±15 C in global averaged surface air temperature projections.

While the error analysis is very straightforward, these results are clearly controversial. Therefore the Supplementary Material provides extensive confirmatory data and analysis.

The conclusion is that even CMIP5 climate models are unable to resolve the impact of greenhouse gases on global averaged surface air temperature.

Unfortunately, it is necessary to draw to your attention the very clear professional conflict of interest for any potential reviewer reliant on climate models for research. The same caution applies to a reviewer whose research is invested in the consensus position concerning the climatological impact of CO2 emissions.

Therefore, it is requested that the choice of reviewers be among scientists who do not suffer such conflicts.

I do understand that this study presents a severe test of professional integrity. Nevertheless I have confidence in your commitment to the full rigor of science.

Expert reviewers might include:
Prof. Yong-Sang Choi, EW University, Seoul: ysc@ewha.ac.kr
Prof. Anastasios Tsonis, University of Wisconsin: aatsonis@uwm.edu
Prof. Roberto Rondanelli, U Chile: ronda@dgf.uchile.cl
Prof. Christopher Essex, University of Western Ontario: essex@uwo.ca
Prof. Victor Vasquez, University of Nevada, Reno, victor.vasquez@unr.edu.
Prof. Carl Wunsch, MIT, cwunsch@mit.edu

Although my professional affiliation is with SLAC National Accelerator Laboratory, Stanford University, this work has been carried out on my own time and was not funded by any external agency or third-party donor.

Finally, thank-you very much for your consideration, and I await your reply.

Yours sincerely,

Patrick Frank, Ph.D.
Palo Alto, CA
Cell: 650-477-4565
Email: pfrank830@earthlink.net
Information about previous submission: 
The manuscript has been submitted to other journals. It has been rejected on the grounds of reviews that have uniformly and fatally conflated precision with accuracy.

The author's hope is that this lack of understanding is not uniform among climate scientists.

A document showing the universal unfamiliarity of these reviewers with physical error analysis can be supplied.
Highlight paper suggestion: 
The interest of this paper falls under the EGU highlights on the grounds of Timing, Significance, Implications and conflict, and Human or social interest.
Suggested Referees: 
Yong-San Choi, ysc@ewha.ac.kr, EW University
Christopher Essex, essex@uwo.ca, University of Western Ontario
Roberto Rondanelli, ronda@dgf.uchile.cl, University of Chile
Anastasios Tsonis, aatsonis@uwm.edu, University of Wisconsin
Carl Wunsch, cwunsch@mit.edu, Massachusetts Institute of Technology
First Choice Index Terms: 
Climate and Earth System Modeling
Second Choice Index Terms: 
Atmospheric Sciences