Using weather and climate data to help make better decisions by James Burn
“And now the weather…” Statistics and data science have always been important parts of meteorology. Weather observations come in many different forms and combining these complex sets of data to build climate datasets and feed global weather models presents many data science challenges. James will discuss some of the exciting and innovative uses of weather data, explain how weather data sets are assimilated and how weather models work. He will explain how multiple weather models are combined to produce probabilistic forecasts, and what is meant by “chance of rain”.