A new study uses machine learning to better represent clouds in climate models, which helps to predict the climate’s response to rising levels of greenhouse gases.

The Columbia Global Flood Project is based on the conviction that while human beings may not have direct control of where and how much rain falls, there is a great deal more that can be done to manage the risk of extreme flooding around the world.

The U.S. National Research Council recently published a report on the state of medium-term climate prediction and predictability. IRI’s Lisa Goddard, who was a member of the panel that wrote the report, elaborates on some of its key points and recommendations.

According to Tony Barnston at the International Research Institute for Climate and Society, El Niño conditions are now evolving in the tropical Pacific. El Niño is the name given to sustained sea surface temperature (SST) anomalies greater than 0.5°C across the central tropical Pacific Ocean; it is the warm phase of the El Niño Southern… read more