|
|
|
|
|
by mighty
6195 days ago
|
|
> BTW, they don't call it Global Warming anymore. It's now called Climate Change. You see, since the climate is a dynamical system that is continuously changing, the name "Climate Change" per se has absolutely zero information. It only has zero information if you give it a massively uncharitable and ignorant reading. A climate per se describes a long term pattern of weather in a region. If that pattern changes, by definition, the climate has changed. Hence, "climate change". Systems, or "dynamical systems" (whatever that means), are privy to two levels of change: one occurs within the system, the other defines the system. In other words, a system's state may change to another state, or the system may change into another system. Got it? |
|
I stand by my assertion. "Climate Change" is a redundancy. The climate has always been changing. If you reduce the entire complexity of the global climate system to 1 bit, you're not doing any good Science. It's not whether it's changing or not, it's how it is changing. This makes a world of difference.
The laws of Physics haven't changed. What may change is the inputs: solar radiation, C02 and methane emissions from the biosphere, C02 emissions by humans, etc. Since we don't really know the inputs with good precision, and since we can't measure them reliably either, jumping to conclusions based on computer models is ludicrous.
The problem with computer models is that we lack sufficient knowledge on the initial conditions. We would need a whole lot more measurements to be able to come up with reliable computer simulations. Unfortunately, measuring is expensive, while simulating is cheap. Trying to solve the fluid and heat dynamics PDEs on a global scale with incomplete info on initial conditions is not Science, it's voodoo magic.
I repeat: the rules of the game haven't changed. The laws of Physics are still the same. Focus on measuring the inputs that drive the dynamical system, rather than make apocalyptical predictions based on bad computer models.