activity
20112023
most citedDeep-learning based down-scaling of summer monsoon rainfall data over Indian region

99 citations · 295 across the 8 of their papers we have counts for

collaborators

8 papers

physics.ao-ph2023★ 3 cited

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…

physics.ao-ph2022★ 64 cited

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…

physics.ao-ph2022★ 9 cited

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…

cs.LG2021★ 3 cited

Machine learning for Earth System Science (ESS): A survey, status and future directions for South Asia

Manmeet Singh, Bipin Kumar, Rajib Chattopadhyay +5

This survey focuses on the current problems in Earth systems science where machine learning algorithms can be applied. It provides an overview of previous work, ongoing work at the…

physics.ao-ph2021★ 26 cited

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…

physics.ao-ph2021★ 21 cited

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…

physics.ao-ph2020★ 99 cited

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…

physics.flu-dyn2011★ 70 cited

Cloud microphysical effects of turbulent mixing and entrainment

Bipin Kumar, Joerg Schumacher, Raymond A. Shaw

Turbulent mixing and entrainment at the boundary of a cloud is studied by means of direct numerical simulations that couple the Eulerian description of the turbulent velocity and w…