mathematics and climate change

PhD student Soukayna Mouatadid talks to us about machine learning and climate change.

An insightful look at the climate models that predict our future.

Make your own climate prediction with this simple, but powerful, model!

The complex maths of weather and climate.

A mathematical model of the evolution of glaciers solves 88-year-old mystery.

A team of Australian researchers has delivered dire news for polar ecosystems, predicting that in some regions biodiversity may be reduced by as much as a third within decades. It's the result of a tipping point induced by global warming.

When the mathematician AK Erlang first used probability theory to model telephone networks in the early twentieth century he could hardly have imagined that the science he founded would one day help solve a most pressing global
problem: how to wean ourselves off fossil fuels and switch to renewable energy sources.

Some have suggested that the changes that are needed to meet the climate challenge are similar in scale to the Industrial Revolution of the 19th century. And since the built environment is responsible for over half of our energy consumption, most of the changes will need to be made here. For this podcast we talked to engineer Alison Cooke, who manages a project called Energy Efficiency in the Built Environment, and two PhD students at the Centre for sustainable Development in Cambridge, and find out how engineers work with Government, business and other groups to help ensure a sustainable future.

Keeping up with temperature