Rohini Kumar
Helmholtz Centre for Environmental Research, Indian Institute of Technology Kharagpur
Research areas: Environmental Science · Water Science and Technology · Hydrology and Watershed Management Studies · Soil Moisture and Remote Sensing · Hydrology and Drought Analysis
0000-0002-4396-2037
About
I am a computational hydrologist specializing in the water–land–climate nexus, with a focus on multiscale environmental modeling for resource assessment from regional to global scales. My work centers on developing robust parametrization schemes for water and matter transport, advancing seamless applications of process-oriented models such as the multiscale Hydrologic Model (mHM) and the multiscale Water Quality Model (mQM). By integrating process-based and data-driven approaches, I provide reliable assessments of environmental systems under changing climate and socioeconomic conditions. My research also addresses the growing risks of climate extremes like floods, droughts, and heatwaves, emphasizing their cascading impacts on water and food security, ecosystem health, and occasionally on related sectors like energy system resilience and human health. Through my work, I advocate for science-based strategies to safeguard freshwater resources and support resilient landscapes under global change.
Employment
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Helmholtz-Zentrum für Umweltforschung UFZ Senior Scientist/Group leader2009 - Present
Education
- 2007 - 2009
- 2004 - 2006
Projects & Funding
Projects & funding information is unavailable.
Publications (371)
- Identifying dark spots and bright spots of nutrients in rivers by global models Save
- Quantifying the Global Impact of Forcing Variability on Hydrological and Land Surface Model Performance: A Multi-Model Evaluation Save
- Subnational variation in sustainable nitrogen management across Indian croplands and its linkage with state-level governance Save
- A forensic investigation reveals a widespread anthropogenic warming fingerprint on Europe's July 2026 low flows Save
- Spatiotemporal dynamics of active root zone storage revealed from hybrid machine learning Save
- Catalogue of Global Land Soil Moisture Drought Events Save
- Spatiotemporal Dynamics of Active Root Zone Storage Revealed From Hybrid Machine Learning Save
- Explicit representation and calibration of different landscape units for a robust catchment DOC export model Save
- Hidden carbon fluxes from groundwater use in Mexico using satellite storage change and bicarbonate degassing Save
- Quantifying environmental co-benefits of nitrogen-based crop restructuring and its implications on India’s interstate trade network Save
- Reversible heat pumps in municipal energy transitions: Cost-optimal heating and cooling pathways in temperate climates under rising temperatures Save
- MOREDO: A differentiable hybrid framework for transferable diagnosis of active root-zone water across scales Save
- Climate Warming Accelerates Hydrological Reversals Across Europe Save
- Dynamics of the Earth’s largest drought events in 1980–2025 Save
- Storyline-Based Climate Attribution Reveals Strong Intensification of 2018–2022 Multi-Year Droughts in Europe Save
- The role of the North Pacific meridional mode on improved predictability of central European summer rainfall Save
- Uneven distribution of multi-pollutant hotspots worldwide: river exports to seas and their global change drivers in the future Save
- From soil to stream: modeling the catchment-scale hydrological effects of increased soil organic carbon Save
- Reconstructed soil moisture droughts in Belgium reveal 2011–2020 was the driest decade since 1970 Save
- The mesoscale Hydrologic Model mHM v6 – the next generation: Modular, Extensible, and Scalable Hydrological Modeling Save