For the first time, scientists have detected evidence of human-induced climate change on weather models on a global scale. Although they have tried to explain the difference between weather and climate, researchers have been ignored.
So scientists are now taking the situation on their own hands by showing how the weather affects global warming. They looked at whether readings in various locations across the world to calculate the global daily temperature going back several decades.
First of all, the researchers analyzed the average global temperature to the expected values based on statistical models. In this way, they could analyze the proof of climate change on any given day.
Global temperatures have been higher since 2012
The study suggests that global temperatures have been higher than natural patterns anticipated every day since March 2012. This is a piece of clear evidence that weather is one of the most important indicators of climate change.
Study co-author Reto Knutti, of ETH Zurich, said the research alters everything we know about this topic. Undoubtedly, there is a strong connection between weather and climate change.
“We’ve always said when you look at the weather, that’s not the same as climate,” he said. “That’s still true locally; if you are in one particular place and you only know the weather right now. Right here, there isn’t much you can say.
Global mean temperature on a single day is already quite a bit shifted. You can see this human fingerprint in any single moment. Weather is climate change if you look over the whole globe.”
The constancy of the global warming trend
The researchers’ findings can help to highlight the constancy of the global warming trend. According to them, the climate can only be derived from studying long-term weather trends. And this discovery can change even the skeptics’ opinion about climate change.
In other words, the weather on any day can reveal information about the state of climate when studied globally. The average global temperature on every day will be higher than it would be according to natural climate change patterns.
Unfortunately, when it comes to the precision of computer models in simulating climate cycles, the study has some uncertainties. It also does not point out the importance of other factors on the climate like land-use change.
Knutti figures out that the use of machine learning techniques can contain uncertainties as well. But he believes that those mistakes were minimized in the study. “We know from many studies that the warming in the last 40 years is almost entirely human,” he added.
