Add to Favourites
To login click here
A new study from the University of Reading and the Australian Bureau of Meteorology has found that using citizen observations, land cover data, and machine learning can improve the accuracy of temperature forecasts for heatwaves in urban areas. The study showed an 11% improvement in temperature prediction and a 225x increase in resolution compared to standard forecasts.