A5011860673- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Soil Moisture and Remote Sensing
- Precipitation Measurement and Analysis
- Plant Water Relations and Carbon Dynamics
- Meteorological Phenomena and Simulations
- Solar Radiation and Photovoltaics
- Hydrology and Drought Analysis
Indian Institute of Technology Bombay
2018-2023
The University of Melbourne
2016-2018
Remotely sensed (RS) observations are becoming prevalent for hydrological model calibration in sparsely monitored regions. In this study, the parameter uncertainty associated with a calibrated RS evapotranspiration (ET) and soil moisture (SM) is investigated detail using Markov chain Monte Carlo (MCMC) approach. The daily Commonwealth Scientific Industrial Research Organization (CSIRO) Moderate Resolution Imaging Spectrometer (MODIS) ReScaled potential ET (CMRSET) SM retrievals from Advanced...
Among the different hydrological models used for water resources assessment, conceptual are gaining popularity due to their simple structure and satisfactory performance. In this study, performance of two rainfall-runoff models, GR4J (Génie Rural) AWBM (Australian Water Balance Model), working in Source modelling platform is evaluated at catchments upper Godavari basin, Maharashtra, India. an integrated resource management tool, developed by eWater Ltd, Australia. a four parameter store...
A comprehensive examination of regional errors in Satellite Precipitation Products (SPPs) is crucial for accurate hydrometeorological modelling. In this study, a multiplicative error-based approach was used correcting systematic bias the SPPs at Western Ghats (WG) region India. Most available so far underestimate monsoon rainfall WG. Quality controlled gridded rain gauge data from Indian Meteorological Department (IMD) as ground correction. Bias correction three multi-satellite precipitation...
<p>The systematic and random errors in different remotely sensed (RS) precipitation products varies spatially seasonally.  Error characterisation of the satellite is vital for improved hydrologic climatic modelling as key component surface subsurface system. In this study, a new approach developed bias correction processed rainfall across Western Ghats region India. The are mountainous ranges about 1600 Kms length parallel to west coast peninsular India, which...