99 citations · 310 across the 15 of their papers we have counts for
15 papers
NDUI+: A fused DMSP-VIIRS based global normalized difference urban index dataset
Manmeet Singh, Subhasis Ghosh, Harsh Kamath +9
Urbanization is advancing rapidly, covering less than 2% of Earth's surface yet profoundly influencing global environments and experiencing disproportionate impacts from extreme we…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Quantum Artificial Intelligence for the Science of Climate Change
Manmeet Singh, Chirag Dhara, Adarsh Kumar +2
Climate change has become one of the biggest global problems increasingly compromising the Earth's habitability. Recent developments such as the extraordinary heat waves in Califor…
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…
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…
A short perspective on the Mascarene High and the abnormal Indian Monsoon during 2015
R. Krishnan, Bhupendra Singh, R. Vellore +6
The initiation of the Indian summer monsoon circulation during late May / early June arises through large-scale land-sea thermal contrast and setting up of negative pressure gradie…