64 citations · 75 across the 3 of their papers we have counts for
3 papers
Urban precipitation downscaling using deep learning: a smart city application over Austin, Texas, USA
Manmeet Singh, Nachiketa Acharya, Sajad Jamshidi +5
Urban downscaling is a link to transfer the knowledge from coarser climate information to city scale assessments. These high-resolution assessments need multiyear climatology of pa…
On the modern deep learning approaches for precipitation downscaling
Bipin Kumar, Kaustubh Atey, Bhupendra Bahadur Singh +5
Deep Learning (DL) based downscaling has become a popular tool in earth sciences recently. Increasingly, different DL approaches are being adopted to downscale coarser precipitatio…
Short-range forecasts of global precipitation using deep learning-augmented numerical weather prediction
Manmeet Singh, Vaisakh S B, Nachiketa Acharya +5
Precipitation governs Earth's hydroclimate, and its daily spatiotemporal fluctuations have major socioeconomic effects. Advances in Numerical weather prediction (NWP) have been mea…