99 citations · 217 across the 9 of their papers we have counts for
9 papers
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…
Intraseasonal Oscillation of Land Surface Moisture and its role in the maintenance of land ITCZ during the active phases of the Indian Summer Monsoon
Pratibha Gautam, Rajib Chattopadhyay, Gill Martin +2
What is the role of soil moisture in maintaining the land ITCZ during the active phase of the monsoon? This question has been addressed in this study by using ERA5 reanalysis datas…
On the Relative Role of East and West Pacific Sea Surface Temperature (SST) Gradients in the Prediction Skill of Central Pacific NINO3.4 SST
Lekshmi S, Rajib Chattopadhyay, D. S. Pai +4
Dominant modes of SST in the west and east Pacific show strong but regionally different gradients caused by waves, internal dynamics, and anthropogenic warming, which drives air-se…
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…
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…
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…
On the role of Initial Error Growth in the Skill of Extended Range Prediction of Madden-Julian Oscillation (MJO)
Lekshmi S, Rajib Chattopadhyay, Manpreet Kaur +5
The seamless forecast approach of subseasonal to seasonal scale variability has been succeeding in the forecast of multiple meteorological scales in a uniform framework. In this pa…
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…