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The weather cycle which causes debilitating drought and hunger in East Africa is a climate-changed-enhanced La Niña. La Niña is caused by the cooling of ocean temperatures in the eastern Pacific sea, causing dry spells in eastern Africa, which lead to droughts and famine. This problem is worsened by human-induced warming in the western ...
To this end, the AI and ML Platform of the World Economic Forum is exploring what role the World Economic Forum can play in accelerating the use of AI in combatting climate change. This is supported by consensus-based governance frameworks, toolkits and best practice use cases. It will demonstrate data-driven AI roadmaps and approaches to ...
There's a 71% chance of La Niña weather conditions developing during September-November, according to the US government's Climate Prediction Center. The climate pattern is linked to floods, droughts and an increased chance of Caribbean hurricanes.
Almost 60 percent of the U.S. is already experiencing “minor to exceptional” drought conditions — the largest area since 2013, said the operational prediction chief at NOAA’s Climate Prediction Center Jon Gottschalck, as The Associated Press reported.
The IGAD Climate Prediction and Applications Center (ICPAC) says that below average rainfall is expected over the next three months, which is normally the region's rainy season. "In parts of Ethiopia, Kenya, Somalia, and Uganda that have been most affected by the recent drought, this could be the 6th failed consecutive rainfall season," ICPAC ...
4. Using AI to recycle more waste. Another AI system is helping to tackle climate change by making waste management more efficient. Waste is a big producer of methane and is responsible for 16% of global greenhouse gas (GHG) emissions, according to the United States Environmental Protection Agency.
Image: Reuters Staff. This year's El Nino could lead to global economic losses of $3 trillion, according to a study published last month in the journal Science, shrinking GDP as extreme weather decimates agricultural production, manufacturing, and helps spread disease. Governments in vulnerable countries are taking note.
Training the AI took four weeks and 32 computers. But the algorithm this produced can predict weather up to 10 days away in less than one minute on a single desktop computer. GraphCast’s accuracy significantly beats current weather systems on 90% of 1,380 metrics. The AI is also better at forecasting severe weather events, including extreme ...
While the disruptive potential of these technologies is quite straightforward, and given the tremendous economic consequences of climate change, the development of the IoT will be also positive for the following, more subtle reasons: 1. It will also involve less “bankable” sectors, such as forestry and biodiversity protection, which usually ...
Here are eight charts that illustrate Americans’ views on the issue, based on recent Pew Research Center surveys. 1. A majority of Americans support the U.S. becoming carbon neutral by 2050. Nearly seven-in-ten Americans (69%) favor the U.S. taking steps to become carbon neutral by 2050, a goal outlined by President Joe Biden at the outset of ...