activity
20202023
most citedDeep-learning based down-scaling of summer monsoon rainfall data over Indian region

99 citations · 310 across the 15 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

physics.ao-ph2022★ 20 cited

A curious case of the Indian Summer Monsoon 2020: The influence of Barotropic Rossby Waves and the monsoon depressions

Nimmakanti Mahendra, Nagaraju Chilukoti, Jasti S Chowdary +2

Summer monsoon rainfall over India depends on synoptic-scale phenomena like lows and depressions. India's summer monsoon season 2020 saw above-average rainfall. North Indian Ocean…

physics.ao-ph2022★ 2 cited

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…

physics.flu-dyn2022★ 8 cited

DeepClouds.ai: Deep learning enabled computationally cheap direct numerical simulations

Moumita Bhowmik, Manmeet Singh, Suryachandra Rao +1

Simulation of turbulent flows, especially at the edges of clouds in the atmosphere, is an inherently challenging task. Hitherto, the best possible computational method to perform s…

physics.ao-ph2022★ 2 cited

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…

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.CE2022★ 49 cited

GLObal Building heights for Urban Studies (UT-GLOBUS) for city- and street- scale urban simulations: Development and first applications

Harsh G. Kamath, Manmeet Singh, Neetiraj Malviya +8

We introduce University of Texas - Global Building heights for Urban Studies (UT-GLOBUS), a dataset providing building heights and urban canopy parameters (UCPs) for more than 1200…