Yaswanth Pulipati

About

I am a postdoctoral researcher at IIT Madras, specializing in seasonal forecasting using numerical weather
prediction (NWP) and AI/ML models. My domains of expertise include hydrological modeling, NWP
modeling, atmospheric sciences, weather forecasting, and nowcasting, climate change studies (downscaling
and bias correction), remote sensing and GIS, Google Earth Engine, stochastic hydrology, and machine learning
approaches in hydro-climatological studies.

Employment

• IIT Madras PhD
  2017 - 2024

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• A Framework to Develop High‐Resolution Intensity–Duration–Frequency Curves: Historical Analysis and Scaling Relationships Integrating Gauge and Gridded Rainfall Products
  International Journal of Climatology 2026 DOI: 10.1002/joc.70504
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• A Framework to Develop High-Resolution Intensity–Duration–Frequency Curves: Historical Analysis and Scaling Relationships Integrating Gauge and Gridded Rainfall Products
  2026 DOI: 10.21203/rs.3.rs-9699065/v1
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• A Hybrid NWP–LSTM Framework for Seasonal Wind Speed Forecasting with Multi-Resolution Downscaling and Bias Correction
  2026 DOI: 10.5194/egusphere-egu26-12228
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• Assessing Atmospheric Mercury Dynamics: A Comparative Analysis of Current Anthropogenic Emission Inventories and their Implications for Concentration and Deposition in India
  Chakradhar Reddy Malasani, Basudev Swain, Ankit Patel +5 more
  2025 DOI: 10.5194/egusphere-egu24-15704
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• HydroAmal: A simulation-optimization framework for effective flood management in a conservation reservoir
  Elanchezhiyan Duraisekaran, Kranthi Kumar, Yaswanth Pulipati +2 more
  Environmental Modelling and Software 2025 DOI: 10.1016/j.envsoft.2025.106596
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• A Simulation - Optimization Framework for Effective Flood Management in a Conservation Reservoir
  Ssrn 2024 DOI: 10.2139/ssrn.5007522
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• Evaluation of Remote Sensing Rainfall Products, Bias Correction and Temporal Disaggregation Approaches, for Improved Accuracy in Hydrologic Simulations
  Yaswanth Pulipati, B. A. M. Kannan, Vijayalekshmi Muraleedharan Bindhu +2 more
  Water Resources Management 2023 DOI: 10.1007/s11269-023-03486-0
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• Urban effects on the Extreme Precipitation: Advanced Statistical Analysis and Numerical Weather Prediction Model at Convective Scales
  2023 DOI: 10.5194/egusphere-egu23-60
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• Streamflow forecasts for flood early warning in a peri-urban catchment
  Advancements in Water Resources Planning and Management 2022
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• Evaluating the advantages of merging remote sensing rainfall estimates for extreme precipitation events
  IRAD 2022 2022
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• Flood Forecasting Evaluation for an Extreme Precipitation Event: Utility of WRF model, Satellite and Weather Radar Rainfall Estimates
  AGU Fall 2021 (Virtual) 2021
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• Merging Ground-based Measurements and Remote Sensing Rainfall Estimates for Improved Hydrological Modeling
  INTROMET -2021 2021
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