Daily Archives: September 13, 2012

Press Spin: Miami Herald resorts to slander, Grimm ignorance of science

The Miami Herald characterizes  those who do not parrot the global warming mantra as nuts. There is no basis for the claims of catastrophy mentioned in this opinion (click here).

Sea level rise to drown Miami?……so let’s look at the science:

So let’s see, 2.4 mm/year…..that’s 0.8 ft per 100 years…..pretty scary….

Grimm reaper is the nutty one. Why water utility managers and planners believe the fiction being spread about global warming is beyond rational…..

Natural climatic variations dominate, some variations correspond to solar cycles

This findings of this paper are very consistent with a review of climate science I just completed for a conference later this year…….”Warming since 1850 is mainly the result of natural climatic variations.” ,  “some identified cycles correspond to variations in the Moons’ orbit around Earth” and “some identified cycles correspond to solar variations.”

Humlum, O., Solheim, J.-E., Stordahl, K. Identifying natural contributions to late Holocene climate change. Global and Planetary Change, Volume 79, Issues 1–2, October–November 2011, Pages 145–156. http://dx.doi.org/10.1016/j.gloplacha.2011.09.005

Analytic climate models have provided the means to predict potential impacts on future climate by anthropogenic changes in atmospheric composition. However, future climate development will not only be influenced by anthropogenic changes, but also by natural variations. The knowledge on such natural variations and their detailed character, however, still remains incomplete. Here we present a new technique to identify the character of natural climate variations, and from this, to produce testable forecast of future climate. By means of Fourier and wavelet analyses climate series are decomposed into time–frequency space, to extract information on periodic signals embedded in the data series and their amplitude and variation over time. We chose to exemplify the potential of this technique by analysing two climate series, the Svalbard (78°N) surface air temperature series 1912–2010, and the last 4000 years of the reconstructed GISP2 surface temperature series from central Greenland. By this we are able to identify several cyclic climate variations which appear persistent on the time scales investigated. Finally, we demonstrate how such persistent natural variations can be used for hindcasting and forecasting climate. Our main focus is on identifying the character (timing, period, amplitude) of such recurrent natural climate variations, but we also comment on the likely physical explanations for some of the identified cyclic climate variations. The causes of millennial climate changes remain poorly understood, and this issue remains important for understanding causes for natural climate variability over decadal- and decennial time scales. We argue that Fourier and wavelet approaches like ours may contribute towards improved understanding of the role of such recurrent natural climate variations in the future climate development.

Click here for full paper (fee).