A Fresh Look at Climate Change – the Connolly Perspective

Written by PSI Staff on . Posted in Current News

The Connolly Scientific Research Group is a family-run independent entity based in Ireland and has provided fascinating new research and analysis on the global warming controversy.  Principia Scientific International has corresponded with Dr. Ronan Connolly, an award-winning scientist, and believe the group provides valuable new analysis in the climate debate. 

ConnollyWe previously ran an introductory article about their new website, ‘Global Warming Solved’ and due to favourable feedback are again delighted to encourage our reader participation.

Below Ronan Connolly has set out the group’s complete body of work and invites full open peer review in the spirit that PSI endorses.
 
Dr Connolly reports:
 I have uploaded datasets for all of our papers to the Figshare website (http://figshare.com/authors/Ronan_Connolly/532073), and provided links to the datasets on the corresponding article pages at http://oprj.net/
 
In total, we have written eight articles on climate science/atmospheric science.
 
We believe that science thrives through openness, and so we have decided to use a fully open peer review system for the peer review process, i.e., our new Open Peer Review Journal. As a trial run for this system, we are using our own research. But, if the system is successful, we hope to expand the journal to accept submissions from other researchers.

We are also providing open access to the data for all our papers so that people can check and/or use our analysis.

We are very interested in feedback from the scientific community on our research, whether positive or negative. So, if any of your readers are interested in posting a technical comment or review on one (or more) of articles, they are more than welcome to do so. Instructions are provided on the OPRJ website: http://oprj.net/how-to-submit-a-review

I have provided brief summaries and links to our eight articles below:

In three of the articles we revisit the urbanization bias problem and argue that this has led to a substantial overestimation of “global warming” trends:

R. Connolly, and M. Connolly (2014). Urbanization bias I. Is it a negligible problem for global temperature estimates?, Open Peer Rev. J., 28 (Clim. Sci.), ver. 0.1 (non peer reviewed draft).

R. Connolly, and M. Connolly (2014). Urbanization bias II. An assessment of the NASA GISS urbanization adjustment method, Open Peer Rev. J., 31 (Clim. Sci.), ver. 0.1 (non peer reviewed draft).
R. Connolly, and M. Connolly (2014). Urbanization bias III. Estimating the extent of bias in the Historical Climatology Network datasets, Open Peer Rev. J., 34 (Clim. Sci.), ver. 0.1 (non peer reviewed draft).

In another three articles we develop a new approach for describing and explaining the temperature and energy profiles of the atmosphere. Our findings suggest to us that the physics used by the current climate models is wholly inadequate, and as a result their results are unrealistic:

M. Connolly, and R. Connolly (2014). The physics of the Earth’s atmosphere I. Phase change associated with tropopause, Open Peer Rev. J., 19 (Atm. Sci.), ver. 0.1 (non peer reviewed draft).

M. Connolly, and R. Connolly (2014).  The physics of the Earth’s atmosphere II. Multimerization of atmospheric gases above the troposphere, Open Peer Rev. J., 22 (Atm. Sci.), ver. 0.1 (non peer reviewed draft). 
M. Connolly, and R. Connolly (2014).  The physics of the Earth’s atmosphere III. Pervective power, Open Peer Rev. J., 25 (Atm. Sci.), ver. 0.1 (non peer reviewed draft). 

In another article we reviewed the various temperature proxy estimates of global temperature trends of the last 1000 years.Unlike previous reviews, technical analyses presented via internet blogs were considered as well as the conventional peer-reviewed literature.

R. Connolly, and M. Connolly (2014). Global temperature changes of the last millennium, Open Peer Rev. J., 16 (Clim. Sci.), ver. 0.1 (non peer reviewed draft).

SI dataset: http://dx.doi.org/10.6084/m9.figshare.977937

For the eight article we revisited the poor station siting problem associated with weather station records. Using the results of Anthony Watts et al.’s Surface stations project, we find that poor station siting has introduced a substantial warming bias into U.S. temperature trends. It is likely that similar biases also occur for global temperature trends.

R. Connolly, and M. Connolly (2014). Has poor station quality biased U.S. temperature trend estimates?, Open Peer Rev. J., 11 (Clim. Sci.), ver. 0.1 (non peer reviewed draft).

 

 

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