The amount of scientific literature compelling drastic and immediate action to combat the climate crisis fuelled largely by anthropogenic emissions has, over the last three decades, swelled by orders of magnitude. Today, there are thousands of research papers analysing the location-specific and broader impacts of climate change that it would take millions of authors to sift through them. ,football spread betting explained
free slots online free,While this, of course, means that more scientific attention is being paid to humanity's greatest existential threat, it also poses new challenges to researchers seeking to identify the true extent to which climate change is affecting our lives.
Ahead of COP25, the UN Climate Change Conference in Glasgow that kicks off on October 31, a group of researchers in Germany have used machine learning technology to sift through a database of some 100,000 pieces of climate change research, publishing their findings in a new paper in the journal, Nature Climate Change. ,22bet esports
casino chips,The study, led by Max Callaghan of Berlin's Mercator Research Institute on Global Commons and Climate Change, found that 80 per cent of land area home to roughly 85 per cent of the human population is already encountering some impact from the ongoing climate crisis. These, the study notes, could range from events like heatwaves, floods and wildfires to record-breaking temperatures.
22bet code,Machine learning is a branch of artificial intelligence that, simply put, refers to a type of software that enables a computer to become smarter as it processes more data. The researchers trained a computer to go through a huge database of research conducted between 1951 and 2018.
The software identified around 100,000 papers that possibly documented evidence of climate change's impact on terrestrial systems. Using location data from the various studies, the scientists were able to divide the globe into various grid-like elements as they sought to match impacts with climate-driven trends concerning factors like precipitation and temperature. ,matchbet in
However, despite concluding that every continent now suffers from climate change impacts, they were quick to warn of two important issues. Firstly, they noted that the trends they uncovered could not conclusively be attributed to climate change. They also cautioned that the use of machine learning technology, especially in processing information at such a huge scale, could generate false positives and other uncertainties. ,tennis qld
Another concerning finding of theirs was the ironic lack of studies in low-income countries and geographies, suggesting that the impact of climate change they discovered may actually be understated.
They found that for nearly half of the world's land where 74 per cent of the global population lived, there was significant evidence of impacts on human or natural systems that could be aligned with temperature and precipitation trends. However, in several other places, the links were not nearly as strong, with the researchers noting that such 'blind spots' warranted further study. ,bet365-mobile betting on cricket
best bookmaker sites,“The lack of evidence in individual studies is because these locations are less intensively studied, rather than because there is an absence of impacts in the areas,” said the researchers who also noted that this may be due to geographic and economic characteristics of specific regions that make them difficult to access and study.
casino royale goa ship price,“Ultimately, we hope that our global, living, automated and multi-scale database will help to jump-start a host of reviews of climate impacts on particular topics or particular geographic regions,” they add.
“If science advances by standing on the shoulders of giants, in times of ever-expanding scientific literature, giants' shoulders become harder to reach. Our computer-assisted evidence mapping approach can offer a leg up.”,k edmund