3 citations · 10 across the 4 of their papers we have counts for
4 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…
Trustworthy modelling of atmospheric formaldehyde powered by deep learning
Mriganka Sekhar Biswas, Manmeet Singh
Formaldehyde (HCHO) is one one of the most important trace gas in the atmosphere, as it is a pollutant causing respiratory and other diseases. It is also a precursor of tropospheri…
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…
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…