Large-scale hydrological models usually treat vegetation as fixed, prescribed from a seasonal climatology that repeats each year. Vegetation, however, changes after wildfire and drought mortality, under forest treatments such as thinning and prescribed burning, and with shifts in cropping and irrigation, and it keeps changing as landscapes recover. Because vegetation governs how much water returns to the atmosphere and how much remains for soils and rivers, a model that holds it fixed misses both the loss and the recovery.
My current work addresses this gap through the California Water Information System (CWIS). CWIS is a real-time modelling framework built on the VIC land-surface model and run at 1 km resolution across California. It assimilates satellite observations of vegetation as they become available, so the simulated water balance follows the landscape through disturbance, management and recovery. The system provides current estimates of soil moisture, evapotranspiration, snow water equivalent and runoff across the state, supporting drought monitoring and post-fire assessment.
01Data acquisition
MAPT weather forcing, historical and forecast · VAPT satellite LAI, albedo, NDVI, canopy cover · VFT AI vegetation forecasts
02Hydrologic simulation
VIC 1 km, daily · historical run: VAPT + MAPT · ET, soil moisture, snow, streamflow
03Forecast
forecast run: VFT + MAPT
04Verification
MVT multi-point verification · CDEC and SNOTEL: discharge, ET, snow
↺ re-calibrate and re-run 02 if unsatisfactory
05Hydrologic data bank
geospatial and time-series database · cataloguing, QA/QC · API for the web app
06Web app
maps, dashboard, statistics, downloads
CWIS builds on my earlier work in Indian river basins, where I coupled the VIC land-surface model with the RAPID river-routing model and the LISFLOOD-FP hydrodynamic model, so that streamflow and floodplain inundation could be simulated within a single system. I later added reservoir operations to the routing model, bringing human regulation of rivers into the simulation. Together, these efforts work toward an integrated representation of the terrestrial water cycle, shaped jointly by climate, land cover and human management.
Papers
Comparing crop evapotranspiration estimation methods to evaluate water-saving potential of alternative land uses in the San Joaquin Valley, California
Kandhway, A., Nandi, S., Conklin, M. H. & Safeeq, M.
Frontiers in Water, 8, 1879797 (2026)
Assessment of climate change impacts on runoff and hydrological drought risk using the VIC-3L model and four-variate D-vine copulas in the Upper Bhima basin, India
Datta, R., Janga Reddy, M. & Nandi, S.
Journal of Water and Climate Change, 16(11), 3447–3482 (2025)
Investigating the projected changes in water balance components under climate change considering the effect of storage structures
Nandi, S. & Reddy, M. J.
Journal of Water and Climate Change, 15(5), 1981–2000 (2024)
IMDLIB: An open-source library for retrieval, processing and spatiotemporal exploratory assessments of gridded meteorological observation datasets over India
Nandi, S., Patel, P. & Swain, S.
Environmental Modelling & Software, 171, 105869 (2024)
Improving the accuracy of multimodel short-to-medium-range precipitation and streamflow forecasts over the Upper Bhima river basin, India
Nandi, S. & Janga Reddy, M.
Hydrological Sciences Journal, 68(13), 1864–1880 (2023)
Towards a reliable streamflow forecasting system: An evaluation of TIGGE multimodel ensemble forecasts in the Upper Bhima River Basin, India
Nandi, S. & Swain, S.
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG), Oral presentation, IUGG23-0380 (2023)
Evaluating the performance of bias-corrected IMERG satellite rainfall estimates for hydrological simulation over the Upper Bhima River basin, India
Nandi, S. & Janga Reddy, M.
Geocarto International, 37(27), 15505–15529 (2022)
An integrated approach to streamflow estimation and flood inundation mapping using VIC, RAPID and LISFLOOD-FP
Nandi, S. & Reddy, M. J.
Journal of Hydrology, 610, 127842 (2022)
Multiobjective Automatic Calibration of a Physically Based Hydrologic Model Using Multiobjective Self-Adaptive Differential Evolution Algorithm
Nandi, S. & Reddy, M. J.
Climate Change Impacts on Water Resources, pp. 435–448 (2021)
Parameter Estimation of VIC-RAPID Hydrological Model Using Self-adaptive Differential Evolution Algorithm
Nandi, S. & Reddy, M. J.
Proceedings of International Conference on Scientific and Natural Computing, pp. 137–146 (2021)
Parameter Estimation of a Macroscale Hydrological Model Using an Adaptive Differential Evolution
Nandi, S. & Janga Reddy, M.
Water Management and Water Governance, pp. 243–255 (2020)
Spatiotemporal Analysis of Water Balance Components and Their Projected Changes in Near-future Under Climate Change Over Sina Basin, India
Nandi, S. & Manne, J. R.
Water Resources Management, 34(9), 2657–2675 (2020)
Comparative performance evaluation of self-adaptive differential evolution with GA, SCE and DE algorithms for the automatic calibration of a computationally intensive distributed hydrological model
Nandi, S. & Janga Reddy, M.
H2Open Journal, 3(1), 306–327 (2020)
Assessing Suitability of Satellite Rainfall Data for Estimation of Daily Streamflows of a Small Tropical Catchment in India
Nandi, S. & Reddy, M. J.
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 5278–5281 (2018)
Development of an ARIMA Model for Monthly Rainfall Forecasting over Khordha District, Odisha, India
Swain, S., Nandi, S. & Patel, P.
Recent Findings in Intelligent Computing Techniques, pp. 325–331 (2018)
A multiple linear regression model for precipitation forecasting over Cuttack district, Odisha, India
Swain, S., Patel, P. & Nandi, S.
2017 2nd International Conference for Convergence in Technology (I2CT), pp. 355–357 (2017)
Distributed rainfall runoff modeling over Krishna river basin
Nandi, S. & Reddy, M. J.
European Water, 57, 71–76 (2017)