With high uncertainty, there is an increased probability that the models may over-estimate or under-estimate the speed and scale of climate change. If the models over-estimate it, we may invest huge amounts of money trying to avert a problem which isn’t as serious as the models suggest. Alternatively, if the models under-estimate the change, we will end up doing too little, too late in the mistaken belief that the changes in weather patterns will be small and gradual. To cope with this problem, we need to quantify the uncertainty in these predictions.
The Centre’s Associate Professor David Wallom and climateprediction.net Applications Coordinator Dr Sarah Sparrow will train attendees in data management skills and give an introduction to using CPDN (climateprediction.net) within scientific experiments at the GOTHAM International Summer School this month.
A new network set up by the people behind the Quill platform will bring together researchers working on the records of formal negotiations, especially those using digital and statistical methodologies for research or seeking to use digital platforms for teaching and public engagement.