Mission of ClimatExam web pages

 

 

There are tens of web pages containing valid information which disprove the IPCC's evidences of anthropogenic global warming (AGW). Because I have used spectral analysis method in my scientific studies, one feature has caught my attention in the contents of these web pages: Almost non-existing results of the spectral analysis scientific publications or the material based on the spectral analyses. 

 

I checked briefly 35 popular sceptical (anti-IPCC) web pages and these were the result:

- 4 sites showing refences to the spectral analysis publications

- 2 sites showing spectral analysis results on its pages.

 

Sceptical web sites contain information and detailed analysis based on the following evidences: air and ocean temperatures trends (the most general approach), sea ice trends, cloudiness trends, sea level trends, extreme weather trends, CO2/temperature trends, solar and cosmic ray trends, climate sensitivity analyses, and publication references.

Normally these evidences are scientifically justified and can show that IPCC's results are not in line with the real observations of the climate change. In the end there is still the final proof that the sceptical climate science has to show, which they have not stated yet: that IPCC's results are not scientifically correct. IPCC's simple models (radiative forcing calculations) are based on the simple atmospheric models applying spectral analysis method. IPCC manifests that the increased concentrations  of the greenhouse gases has caused the present warming and the expected higher concentrations of the GH gases can cause much higher temperatures than observed today. According to IPCC, the pause in the temperatures is caused by natural fluctations only and the warming trend will come back to its "Representative Concentration Pathway". (IPCC abandoned the word scenario, because they applied it against the definition of this term). The conclusion is that there must be something wrong in the IPCC's spectral analysis calculations, because otherwise sceptical science should admit that they have not found any flaws in the IPCC's simple models. 

 

There may be a very simple reason to this situation. There is a very limited number of researchers utilising spectral analysis method in general and even fewer who have published papers showing results contradictory with the IPCC's simple models and of course with General Circulation Models (GCMs). The author knows only three reseacrhers  besides me who are in this category: Ferenc Miskolczi, Martin Mlynczak, and Thomas Harde. If you know more names, I am glad to add their names here. Spectral analysis method is the only method which can be used to analyze the absorption phenomenon in which GH gases absorb the longwave (LW) radiation emitted by the Earth.  

 

Many people do not know that General Circulation Models (GCMs) do not use the spectral analysis method in their calculations. They apply simpler methods trying to implement the main results originating from simple climate models applying spectral analyses. GCMs can produce  3-dimensional profiles and trends of the different parameters like temperature, which look accurate and nice. But they can never improve the basic accuracies of warming impacts of the GH gases, which are worse than the original results utilizing spectral calculation method.

 

What about the several Climate Sensitivity (CS) analyses which have been published? There is a growing number of analyses showing lower CS values than the IPCC's official figures. So far I have identified three studies, where researchers have calculated the CO2 impacts (increase from 280 ppm to 560 ppm) based on the spectral analyses carried out by themselves: Miskolczi, Harde and Ollila. Other researchers have utilized typically correlation analysis methods in analyzing the variations of temperature or energy budget trends . In many cases warming impacts  of CO2 concentration change are based on GCMs or on IPCC's radiative forcing values. If this is the starting point, the CS values are closely related to IPCC values.

 

These are the reasons why the author thinks there should exist at least one web site, which shows results based essentially on the spectral analysis method.