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Global Warming Predictions May Now Be a Lot Less Uncertain (wired.com)

An anonymous reader shares a report: Humanity must not pass a rise of 2 degrees Celsius in global temperature from pre-industrial levels, so says the Paris climate agreement. Cross that line and the global effects of climate change start looking less like a grave situation and more like a catastrophe. The frustrating bit about studying climate change is the inherent uncertainty of it all. Predicting where it's going is a matter of mashing up thousands of variables in massive, confounding systems. But today in the journal Nature, researchers claim they've reduced the uncertainty in a key metric of climate change by 60 percent, narrowing a range of potential warming from 3C to 1.2C. And that could have implications for how the international community arrives at climate goals like it did in Paris. The metric is called equilibrium climate sensitivity, but don't let the name scare you.

4 of 384 comments (clear)

  1. Re:Global Warming Alarmism by rickb928 · · Score: 5, Informative

    Perhaps, but the assessment of the climate change movement as a religion predates Trump's Presidency by at least a decade. Maybe two.

    --
    deleting the extra space after periods so i can stay relevant, yeah.
  2. Re:Global Warming Alarmism by Anonymous Coward · · Score: 0, Informative

    denialism is religion. Climate change is science. You are a troll

  3. Re:Global Warming Alarmism by Nivag064 · · Score: 1, Informative

    Probably unfair to blame everything on Trump...

    Even scarier than Trump, is the number of people who still support him.

    Pity Elizabeth Warren wasn't a candidate. She was probably too incisive, focussed on reality, and ethical, to be a viable Presidential candidate!!!

  4. Re:Read Karl Popper by hsthompson69 · · Score: 3, Informative

    Evidence is not the key point of the scientific method. Neither is "overwhelming" evidence.

    The trick is a necessary and sufficient falsifiable hypothesis statement. Specifically:

    1) a list of observations, which if observed, mean a hypothesis is false;
    2) a logical argument that the lack of those falsifications means that a hypothesis must be favored over all others (including the null).

    Translation into plain english:

    1) tell me what would change your mind;
    2) tell me why those if the things that would change your mind aren’t there, the only explanation left is AGW.

    Showing me the evidence of a million white swans doesn't overwhelmingly prove there are no black swans. Looking really hard for black swans, and failing to find them, is what a scientist would show as support for their hypothesis.