Has a critical new element in the climate fraud been uncovered? Independent British researcher, Derek Alker, attending the UK lecture tour of Australian climatologist, Dr Murry Salby, stumbles on an apparent critical flaw in climate models. Alker finds the models are dependent only on carbon dioxide (CO2) to change temperature. Incredibly, the models seem to be pre-programmed so that no other atmospheric variable is allowed to alter climate. Read Alker’s full analysis below:
How the IPCC models human emissions of CO2
accumulating in earth’s atmosphere
By Derek Alker (November 18, 2013)
Wednesday, 26th May, 2010, 09:03 pm in post ten of this thread at the Global Warming Skeptics.info forum. Dr.Jonathan Drake published one of the most important posts I am aware of thus far in the ongoing climate debate. At the time I did not realise the full significance of it, nor it seems did anyone else. But it is worth noting that Dr. Drake and I had discussed this on a prior occasion without fully ascertaining its import.
Thursday, 7th Nov, 2013, 07.00pm I attended Professor Salby’s lecture at the Links Hotel, Edinburgh, as part of a series of talks sponsored by Ken Coffman (Stairway Press) and Principia Scientific International. The lecture was titled Climate: What we know and what we don’t. The relevant part of his lecture can be viewed in a video from his earlier lecture given in Hamburg on the April 18, 2013 (specifically between 53 minutes to 1 hour and 2 minutes).
Background
Consensus scientists and the IPCC state there is a dominant residence time in excess of 100 years for human emissions of CO2 in earth’s atmosphere. This arises due to a “need” within the “theory” of a greenhouse effect (the scientific underpinning of supposed human-caused global warming) to have the facts fit the emissions data of increasing atmospheric concentrations of carbon dioxide (CO2). All such official data is measured at the Mauna Loa Observatory (MLO).
To get the emissions data to fit the MLO observations a summation formula, which is referred to as the Bern 2.5 carbon cycle model, is applied. The Bern 2.5 CC model has essentially two controlling parameters; a time constant term and an absorption factor. These are then adjusted to make the datasets match; and typically they yield a half-life of about 120 years and an absorption factor of about 0.53. In reality, this is simply a mathematical construct.
The Cumulation Maths Process
Almost any dataset of gradually increasing positive values could be as successfully fitted to the MLO CO2 record. Dr Jonathan Drake showed this by example in a paper called “Is the Met Office to Blame for the Rising CO2 Levels?” (located: www.tech-know-group.com/archives/)
Dr. Drake notes that – “the cumulation maths process can make almost any positive data set with an upward trend look like the increase in CO2 within the atmosphere.”