AS
Anand Shankar
India Meteorological Department, National Institute of Technology Patna
0000-0001-8141-6400
About
Anand Shankar is a Scientist-D at the India Meteorological Department (IMD) and a Ph.D. graduate from NIT Patna, specializing in the application of artificial intelligence to operational meteorology. His expertise includes machine learning, deep learning, NWP interpretation, and forecasting of thunderstorms and other high-impact weather events. He develops AI-based operational tools to enhance weather services and strengthen impact-based, multi-hazard early warning systems.
Employment
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India Meteorological Department Scientist-D
Education
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National Institute of Technology Patna Ph.D. Research Scholar
Projects & Funding
Projects & funding information is unavailable.
Publications (38)
- Observed fog characteristics over Amritsar, northwest India (2017–2025) and associated meteorological conditions Save
- Fog persistence and dissipation over the Eastern Gangetic Plains insights from boundary layer thermodynamics during 16 to 31 December 2025 Save
- Fog-Induced Attenuation of Solar Radiation over Amritsar, Northwest India Save
- A hybrid deep learning framework for image-based visibility and runway visual range estimation for aviation services Save
- Development of Machine Learning Models for the Nearcasting of the Duration of Low-Visibility Events in the Indo-Gangetic Plains Regions of India Save
- Visibility challenges: characterizing fog events in the Indo-Gangetic plain for enhanced aviation operations Save
- LSTM-Based Sequence Learning Framework for Weekly Dengue Outbreak Warning in the State of Bihar, India Save
- Analysis of orographic–synoptic coupling and dynamical drivers of extremely heavy rainfall events in eastern India: A case study of Bihar (October 2025) Save
- From lightning flash to impact: mapping lightning hotspots, strike intensity, and casualty risks in the State of Bihar, India Save
- Rainfall variability and trends in different agroclimatic zones of Bihar, India Save