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  2. Ashutosh Sharma
Member Since 2018
Ashutosh Sharma
Dr. Ashutosh Sharma is an Assistant Professor in the Department of Hydrology of the Indian Institute of Technology Roorkee. He is interested in understanding terrestrial ecohydrological processes and interactions at different scales using process-based and data-driven (AI/ML) modelling and remote sensing. His work has focused on modelling the ecohydrological responses to natural (floods/droughts) and human-caused (fires) disturbances.
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Ashutosh's AGU Research
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Benchmarking and Selecting Optimal Hydrological Models for Large‐Sample Applications Considering Complexity and Uncertainty
WATER RESOURCES RESEARCH
03 july 2026
Resilience to Climate Variability and Drought is Greater in Agricultural Catchments than in Forested Catchments of Peninsular India
IMPACTS OF GLOBAL CHANGE AND EXTREME EVENTS ON HYDROLOGICAL AND BIOGEOCHEMICAL SYSTEMS POSTER
hydrology | 19 december 2025
Innovative Hybrid Explainable AI and Process-Based Modeling Approach for Enhancing Urban Flood Inundation in the Lower Blue Nile Basin (LBNB), Sudan
ADVANCES IN URBAN FLOOD RISK ASSESSMENT AND ADAPTATION IV POSTER
natural hazards | 18 december 2025
Are Coincidental Compound Extremes Escalating across the Himalayan Region under Climate Change?
COMPOUND, CONCURRENT, AND CASCADING HAZARDS IN A CHANGING CLIMATE: UNDERSTANDING AND PREDICTABILITY FOR ENHANCED RESILIENCE II POSTER
hydrology | 17 december 2025
Integrating Reservoir Dynamics Into Differentiable Process‐Based Hydrological Model for Enhanced Streamflow Estimation
WATER RESOURCES RESEARCH
16 july 2025
Increasing Cumulative Impacts of Droughts Under Climate Change Does Not Alter the Ecosystem Resilience in India
EARTH'S FUTURE
19 june 2025
Deep Learning‐Based Approach for Enhancing Streamflow Prediction in Watersheds With Aggregated and Intermittent Observations
WATER RESOURCES RESEARCH
28 december 2024
A coupled hydrological model-water accounting framework for water resources and agricultural production assessment in Tapi River basin
ADVANCEMENTS IN PROCESS-BASED HYDROLOGIC MODELING TO SUPPORT WATER RESOURCES MANAGEMENT I ORAL
hydrology | 12 december 2024