Rajarshi Das Bhowmik

About

Rajarshi is a core faculty at Interdisciplinary Centre for Water Research and an associate faculty at the Department of Civil Engineering, Indian Institute of Science, bengaluru. He obtained his Ph.D. from the North Carolina State University (USA). He was a postdoctoral fellow at the Hong Kong University of Science and technology, and an INSPIRE faculty at IISc, Bangalore. Rajarshi leads the Hydroclim@IISc group with a focus on extreme events, S2S forecasting, and climate change projections.

Employment

• Indian Institute of Science Bangalore Assistant Professor
  2020 - Present
• Indian Institute of Science DST-INSPIRE Faculty
  2018 - 2020
• HKUST Postdoctoral Fellow
  2017 - 2018
• NCSU Research Associate
  2012 - 2016

Education

• Indian Institute of Technology Kanpur MTech
  2010 - 2012
• Indian Institute of Engineering Science and Technology, Shibpur Bachelor of Engineering
  2005 - 2009
• NC State University Ph.D.
  ? - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (34)

• Control-Oriented System Identification of Urban Drainage Dynamics for Flood Mitigation
  2026 0 citations DOI: 10.5194/egusphere-egu26-10149
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• Stochastic Simulation of Unprecedented Rainfall Events under Climate Change: From Hurricane Harvey to Continental-Scale Risk Assessment
  2026 0 citations DOI: 10.5194/egusphere-egu26-15379
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• Continental-Scale Dynamics of Flood Extremes: A Unified Spatio-Temporal Modelling Approach
  2026 0 citations DOI: 10.5194/egusphere-egu26-448
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• Investigating Streamflow Elasticity in Highly Regulated and Data-Scarce Basins using Bayesian Frameworks
  2026 0 citations DOI: 10.22541/au.177153838.82259923/v1
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• A coupled high-resolution forecasting model for urban floods
  Urban Water Journal 2026 0 citations DOI: 10.1080/1573062X.2025.2560544
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• Unifying Hydrologic and Hydraulic Models Using a Machine Learning-Based Generalized Emulator
  2026 0 citations DOI: 10.2139/ssrn.6888878
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• A Minimal High-Resolution Urban Flood Model for Data-Scarce Regions
  2026 0 citations DOI: 10.5194/egusphere-egu26-14562
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• A physically consistent hybrid model for seasonal quick-flow and baseflow estimation in ungauged catchments
  2025 0 citations DOI: 10.22541/essoar.176529883.35175766/v1
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• Revising calibration of a lumped watershed model to simulate extreme streamflow
  Environmental Research: Water 2025 0 citations DOI: 10.1088/3033-4942/ae2654
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• Unprecedented rainfall events increase the magnitude of design storms
  Environmental Research Letters 2025 1 citation DOI: 10.1088/1748-9326/add175
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