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originally posted by: TerminalVelocity
a reply to: mc_squared
"Skyrocketing" ???
Wow, sensationalize much?
Get back with me when it's more like like whole digits or more. Then I'll agree with the use of that word.
Until then: it's nothing more than screaming how the sky is falling.
well if you believe that and can back it up then you need to read this "
Global Warming, is a game changer if the trend continues at this rate!
wattsupwiththat.com... best of luck mate
There have been many claims of observational evidence for global-warming alarmism. I have argued that all such claims rely on invalid statistical analyses. Some people, though, have asserted that the analyses are valid. Those people assert, in particular, that they can determine, via statistical analysis, whether global temperatures are increasing more that would be reasonably expected by random natural variation. Those people do not present any counter to my argument, but they make their assertions anyway.
In response to that, I am sponsoring a contest: the prize is $100 000. In essence, the prize will be awarded to anyone who can demonstrate, via statistical analysis, that the increase in global temperatures is probably not due to random natural variation.
A prize of $100 000 (one hundred thousand U.S. dollars) will be awarded to the first person, or group of people, who correctly identifies at least 900 series: i.e. which series were generated by a trendless process and which were generated by a trending process.
You have until 30 November 2016 or until someone wins the contest. Each entry costs $10; this is being done to inhibit non-serious entries.
Good luck!
originally posted by: amazing
That's real life, my friend. Reality.
So, he takes data, and works out a model to fit the data. That is backwards.
The series were generated via trendless statistical models fit for global temperatures.
He made stuff up. And that's his gimmick. He is asking someone to specify which of the datasets contain the made up data. It is all made up data.
Some series then had a trend added to them. Each individual trend averaged 1°C/century—which is greater than the trend claimed for global temperatures. Some trends were positive; others were negative.
I though it was common practice to infill data by scientist especially climate scientist . am I wrong ?
originally posted by: amazing
Um, you do realize that it was actual scientists observing real climate/weather/temperature data? The earth really is getting warmer or at least this was the hottest year ever recorded. That's not chicken little, that's actual concern. It should be concerning to you. It's actually getting hot enough where I live for me to consider relocating due to the excessive heat. That's real life, my friend. Reality.
Because of humanity’s contribution to climate change, the authors wrote, some population centers in the Middle East “are likely to experience temperature levels that are intolerable to humans.”
originally posted by: Phage
a reply to: the2ofusr1
Why do you say "especially" climate scientists?
wattsupwiththat.com... It seems that they dont have enough real coverage in the real world and so they duplicate some of the data to cover the places they dont have coverage .
Guest essay by Mike Jonas
In this article, I take a look inside the workings of the climate computer models (“the models”), and explain how they are structured and how useful they are for prediction of future climate.
This article follows on from a previous article (here) which looked at the models from the outside. This article takes a look at their internal workings.
The Models’ Method
The models divide up the atmosphere and/or oceans and/or land surface into cells in a three-dimensional grid and assign initial conditions. They then calculate how each cell influences all its neighbours over a very short time. This process is then repeated a very large number of times so that the model then predicts the state of the planet over future decades. The IPCC (Intergovernmental Panel on Climate Change) describes it here. The WMO (World Meteorological Organization) describes it here.
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Seriously powerful computers are needed, because even on a relatively coarse grid, the number of calculations required to predict just a few years ahead is mind-bogglingly massive.
Internal and External
At first glance, the way the models work may appear to have everything covered, after all, every single relevant part of the planet is (or can be) covered by a model for all of the required period. But there are three major things that cannot be covered by the internal workings of the model:
originally posted by: the2ofusr1
a reply to: mc_squared
Not just WUWT which happens to be the largest site dealing with climate but I also read ATS . :>)