99 citations · 295 across the 8 of their papers we have counts for
6 papers · 1 filter
FlashBench: A lightning nowcasting framework based on the hybrid deep learning and physics-based dynamical models
Manmeet Singh, Vaisakh S. B., Dipjyoti Mudiar +9
Lightning strikes are a well-known danger, and are a leading cause of accidental fatality worldwide. Unfortunately, lightning hazards seldom make headlines in international media c…
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…
Deep Learning Based Forecasting of Indian Summer Monsoon Rainfall
Bipin Kumar, Namit Abhishek, Rajib Chattopadhyay +7
Accurate short range weather forecasting has significant implications for various sectors. Machine learning based approaches, e.g., deep learning, have gained popularity in this do…
Deep learning for improved global precipitation in numerical weather prediction systems
Manmeet Singh, Bipin Kumar, Suryachandra Rao +4
The formation of precipitation in state-of-the-art weather and climate models is an important process. The understanding of its relationship with other variables can lead to endles…
Deep-learning based down-scaling of summer monsoon rainfall data over Indian region
Bipin Kumar, Rajib Chattopadhyay, Manmeet Singh +3
Downscaling is necessary to generate high-resolution observation data to validate the climate model forecast or monitor rainfall at the micro-regional level operationally. Dynamica…