Our work spans plot-level ecohydrology to continental large-sample analysis, bridging process understanding with data-driven prediction to inform sustainable management in a changing world.
Rather than studying single basins in isolation, we build and analyse datasets spanning hundreds of catchments. This large-sample view reveals which hydrological behaviours generalise, which are regional, and where models succeed or fail. Our CAMELS-IND dataset brings 472 Indian catchments into this global effort.
We develop physics-informed and deep learning models — LSTMs, Transformers, and differentiable hybrid models that embed hydrological structure into neural networks. The goal is prediction that is both accurate and physically interpretable, including in ungauged and data-scarce basins.
Water Resources Research (2025) ↗
We study compound hydro-climatic extremes, regional flood frequency, and how the statistics of floods and droughts shift under climate change — with particular attention to data-scarce mountain environments where hazards are rising. Key areas of focus include:
Our research focuses on understanding the dynamic interactions between terrestrial ecosystems and hydrological processes across various spatial and temporal scales. By exploring the role of vegetation in water cycling, soil moisture's influence on plant growth, and how land cover changes impact water availability, we aim to bridge the gap between ecological and hydrological sciences. By linking ecosystem processes to hydrological functions, our research provides critical insights for improving ecosystem sustainability and resilience under future environmental scenarios. Key areas of our work include:
Our research integrates the Water Accounting (WA) framework and Nexus Approach to provide a comprehensive understanding of water resource management across complex river basins. By leveraging diverse datasets, we quantify key hydrological processes at multiple scales, focusing on water inflows, outflows, consumption, withdrawals, and storage variations. Key elements of our research include:
Journal of Water Resources Planning and Management(2024)↗
A short video by PhD Scholar, Ms. Akriti Singh, highlighting our recent research.
We release datasets, trained models and reproducibility code so others can build on our work.