Author Archives: Willis Eschenbach

A New Metric for Amplification

Jan 26, 2009 – 8:06 AM

ABSTRACT: A new method is proposed for exploring the amplification of the atmosphere with respect to the surface. The method, which I call “temporal evolution”, is shown to reveal the change in amplification with time. In addition, the method shows which of the atmospheric datasets are similar and which are dissimilar. The method is used […]

Posted in General | Comments (118)

Can’t See the Signal For the Trees

Nov 23, 2008 – 4:07 PM

ABSTRACT: A new method is proposed for determining if a group of datasets contain a signal in common. The method, which I call Correlation Distribution Analysis (CDA), is shown to be able to detect common signals down to a signal:noise ratio of 1:10. In addition, the method reveals how much of the common signal is […]

Posted in Mann et al 2008 | Comments (159)

When Good Proxies Go Bad

Sep 28, 2008 – 3:51 PM

Many of the good folks who write the papers and keep the databases seem not to use their naked eyeballs. By that I mean, they seriously think that you can invent some new procedure, and then apply it across the board to transform a group of a thousand datasets without looking at each and every […]

Posted in Mann et al 2008 | Comments (46)

Data Smoothing and Spurious Correlation

Feb 12, 2008 – 4:05 PM

Allan Macrae has posted an interesting study at ICECAP. In the study he argues that the changes in temperature (tropospheric and surface) precede the changes in atmospheric CO2 by nine months. Thus, he says, CO2 cannot be the source of the changes in temperature, because it follows those changes. Being a curious and generally disbelieving […]

Posted in Spurious | Tagged | Comments (246)