activity
20172023
most citedOn the modern deep learning approaches for precipitation downscaling

64 citations · 134 across the 8 of their papers we have counts for

collaborators

8 papers

physics.ao-ph2023

Role of Bay of Bengal Low Pressure Systems in the Formation of Mid-Tropospheric Cyclones over the Arabian Sea and Western India

Pradeep Kushwaha, Jai Sukhatme, Ravi S. Nanjundiah

Arabian Sea Mid-Tropospheric Cyclones (MTCs), which are responsible for extreme rainfall events in western India, often coincide with monsoon low-pressure systems (LPS) over the Ba…

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★ 11 cited

Classification of Middle Tropospheric Systems over the Arabian Sea and Western India

Pradeep Kushwaha, Jai Sukhatme, Ravi S. Nanjundiah

The formation of Middle Tropospheric Cyclones (MTCs) that are responsible for a large portion of annual precipitation and extreme rainfall events over western India is studied usin…

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★ 9 cited

A Global Tropical Survey of Mid-Tropospheric Cyclones

Pradeep Kushwaha, Jai Sukhatme, Ravi S. Nanjundiah

Mid-Tropospheric Cyclones (MTCs) are moist synoptic systems with distinct mid tropospheric vorticity maxima and weak signatures in the lower troposphere. Composites and statistics…

cs.DC2017

Deep and Shallow convections in Atmosphere Models on Intel Xeon Phi Coprocessor Systems

Srinivasan Ramesh, Sathish Vadhiyar, Ravi Nanjundiah +1

Deep and shallow convection calculations occupy significant times in atmosphere models. These calculations also present significant load imbalances due to varying cloud covers over…