On the modern deep learning approaches for precipitation downscaling. (arXiv:2207.00808v1 [physics.ao-ph])

Deep Learning (DL) based downscaling has become a popular tool in earth
sciences recently. Increasingly, different DL approaches are being adopted to
downscale coarser precipitation data and generate more accurate and reliable
estimates at local (~few km or even smaller) scales. Despite several studies
adopting dynamical or statistical downscaling of precipitation, the accuracy is
limited by the availability of ground truth. A key challenge to gauge the
accuracy of such methods is to compare the downscaled data to point-scale
observations …

arxiv deep learning learning physics precipitation