Physics Informed Deep Learning

Global climate models play a vital role in predicting future climate conditions, such as temperature or precipitation. However, their coarse spatial resolution (typically 50–100 km) limits their ability to capture regional climate… more

Although our planet is a sphere and therefor all weather and climate processes operate on sphere, Deep Learning Weather Models very commonly operate on different rectangular projections of the sphere. This introduces increasingly… more

Global numerical climate models project meteorological quantities such as temperature, humidity, pressure, etc. decades into the future under the assumption of different emission scenarios. However, due to computational… more