Papers

The potency of carbon dioxide (CO2) as a greenhouse gas

By Antero Ollila
September 2014

Abstract
According to this study the commonly applied radiative forcing (RF) value of 3.7 Wm-2 for CO2 concentration of 560 ppm includes water feedback. The same value without water feedback is 2.16 Wm-2 which is 41.6 % smaller. Spectral analyses show that the contribution of CO2 in the greenhouse (GH) phenomenon is about 11 % and water’s strength in the present climate in comparison to CO2 is 15.2. The author has analyzed the value of the climate sensitivity (CS) and the climate sensitivity parameter () using three different calculation bases. These methods include energy balance calculations, infrared radiation absorption in the atmosphere, and the changes in outgoing longwave radiation at the top of the atmosphere. According to the analyzed results, the equilibrium CS (ECS) is at maximum 0.6 °C and the best estimate of  is 0.268 K/(Wm-2 ) without any feedback mechanisms. The latest warming scenarios of Intergovernmental Panel on Climate Change (IPCC) for different CO2 concentrations until the year 2100 include the same feedbacks as the 2011 warming i.e. only water feedback. The ECS value of 3.0 °C would mean that other feedback mechanisms should be stronger than water feedback. So far there is no evidence about these mechanisms, even though 40 % of the change from 280 ppm to 560 ppm has already happened. The relative humidity trends since 1948 show descending development which gives no basis for using positive water feedback in any warming calculations. Cloudiness changes could explain the recent stagnation in global warming.

Press Release on Paper Showing the Invalidity of the EPA claim that CO2 is a pollutant

THS Research Files April, 2017

A just released peer reviewed Climate Science Research Report has proven that it is all but certain that EPA’s basic claim that CO2 is a pollutant is totally false. All research was done pro bono.

This research failed to find that the steadily rising Atmospheric CO2 Concentrations have had a statistically significant impact on any of the 14 temperature data sets that were analyzed. The tropospheric and surface temperature data measurements that were analyzed were taken by many different entities using balloons, satellites, buoys and various land based techniques. Needless to say, if regardless of data source, the analysis results are the same, the analysis findings should be considered highly credible.

Invalidity of EPA’s CO2 Endangerment Finding

On the Existence of a “Tropical Hot Spot” & The Validity of EPA’s CO2Endangerment Finding

Abridged Research Report
Second Edition
Dr. James P. Wallace III, Dr. John R. Christy, Dr. Joseph S. D’Aleo
April 20, 2017

Excerpted summary of this peer-reviewed science: “The analysis results invalidate EPA’s CO2 Endangerment Finding, including the climate models that EPA has claimed can be relied upon for policy analysis purposes. Moreover, these research results clearly demonstrate that once the solar, volcanic and oceanic activity, that is, natural factor,impacts on temperature data are accounted for, there is no “record setting” warming to be concerned about.”

Univariate statistical analysis of environmental (compositional) data:Problems and possibilities

Peter Filzmoser, Karel Hron, Clemens Reimann

Received 8 May 2009
Received in revised form 24 July 2009
Accepted 5 August 200

abstract

For almost 30 years it has been known that compositional (closed) data have special geometrical properties.In environmental sciences, where the concentration of chemical elements in different sample materials isinvestigated, almost all datasets are compositional. In general, compositional data are parts of a whole whichonly give relative information. Data that sum up to a constant, e.g. 100wt.%, 1,000,000 mg/kg are the bestknown example. It is widely neglected that the “closure” characteristic remains even if only one of all possible elements is measured, it is an inherent property of compositional data. No variable is free to vary independent of all the others. Existing transformations to “open” closed data are seldom applied. They are more complicated than a logtransformation and the relationship to the original data unit is lost. Results obtained when using classical statistical techniques for data analysis appeared reasonable and the possible consequences of working with closed data were rarely questioned. Here the simple univariate case of data analysis is investigated. It can be demonstrated that data closure must be overcome prior to calculating even simple statistical measures like mean or standard deviation or plotting graphs of the data distribution, e.g. a histogram. Some measures like the standard deviation (or the variance) make no statistical sense with closed data and all statistical tests building on the standard deviation (or variance) will thus provide erroneous results if used with the original data.

Has global warming already arrived?

Elsevier
Journal of Atmospheric and Solar-Terrestrial Physics
Volume 182, January 2019, Pages 31-38

C.A.Varotsos, M.N.Efstathiou

https://doi.org/10.1016/j.jastp.2018.10.020
Highlights

  • The global warming during 1978–2018 was not more enhanced at high latitudes near the surface.
  • The intrinsic properties of the lower stratospheric temperature are not related to those in the troposphere.
  • The results obtained do not reveal the global warming occurrence.