Fusing weather forecasts, machine learning and citizen observations to improve urban heat predictions
A new Met Office led paper demonstrates how machine learning algorithms can be used alongside UK weather forecasts and citizen-science observations to improve the predictions of urban heatwave temperatures across London.
to simulate the complex processes controlling neighbourhood-scale variations in temperature. A Met Office led paper, published in the Royal Met Society’s Meteorological Applications journal, explored the possibility of fusing weather simulations with weather observations across London and using