Another blow to warmist theory: Decreasing radiation from greenhouse gases

The anthropogenic global warming theory is based upon the notion that increasing 'greenhouse gases' will increase infrared 'back-radiation' to the earth to [supposedly] warm the planet. The theory also claims that increases in the minor 'greenhouse gas' carbon dioxide will cause increases in the major 'greenhouse gas' water vapor to amplify the infrared 'back-radiation' and global warming. A study published online yesterday in The Journal of Climate, however, finds that contrary to the global warming theory, infrared 'back-radiation' from greenhouse gases has declined over the past 14 years in the US Southern Great Plains in winter, summer, and autumn. If the anthropogenic global warming theory was correct, the infrared 'back-radiation' should have instead increased year-round over the past 14 years along with the steady rise in atmospheric carbon dioxide. 



Journal of Climate 2011 ; e-View

doi: 10.1175/2011JCLI4210.1



Long-Term Trends in Downwelling Spectral Infrared Radiance over the U.S. Southern Great Plains



P. Jonathan Gero, Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin



David D. Turner, NOAA / National Severe Storms Laboratory, Norman, Oklahoma and Department of Atmospheric and Oceanic Sciences, University of Wisconsin–Madison, Madison, Wisconsin



Abstract: A trend analysis was applied to a 14-year time series of downwelling spectral infrared radiance observations from the Atmospheric Emitted Radiance Interferometer (AERI) located at the Atmospheric Radiation Measurement (ARM) site in the U.S. Southern Great Plains. The highly accurate calibration of the AERI instrument, performed every 10 minutes, ensures that any statistically significant trend in the observed data over this time can be attributed to changes in the atmospheric properties and composition, and not to changes in the sensitivity or responsivity of the instrument. The measured infrared spectra, numbering over 800,000, were classified as clear-sky, thin cloud, and thick cloud scenes using a neural network method. The AERI data record demonstrates that the downwelling infrared radiance is decreasing over this 14-year time period in the winter, summer, and autumn seasons but is increasing in the spring; these trends are statistically significant and are primarily due to long-term change in the cloudiness above the site. The AERI data also show many statistically significant trends on annual, seasonal, and diurnal time scales, with different trend signatures identified in the separate scene classifications. Given the decadal time span of the dataset, effects from natural variability should be considered in drawing broader conclusions. Nevertheless, this data set has high value due to the ability to infer possible mechanisms for any trends from the observations themselves, and to test the performance of climate models.