Accurate, timely and precise Forecast precipitation is the “holy grail” of flood forecasting; this project aims to use observation constrained hydrologic models to estimate precipitation.
Accurate, timely and precise forecast precipitation is the "Holy Grail" of flood forecasting; this project aims to use observation constrained hydrologic models to estimate precipitation.
Accurate flood forecast is essential to save lives and reduce damages.How far can we get using remote sensing data to calibrate and constrain in real time a Coupled Hydrologic - hydraulic model?
Flood forecasts suffer from various SOURCES of uncertainties. This project investigates the benefit of using remotely sensed soil moisture data for hydrological model calibration and updating. A real-time forecasting system constrained by soil moisture and flow data is being developed.
This research introduces model input data reduction using the discrete wavelet transform to the hydrological sciences.
This project investigates the use of remotely sensed soil moisture data and flood extent/level to improve hydrologic and hydraulic modlling for operational flood forecast.
This project aims to use hydrologic models and data assimilation theory to estimate catchment wide rainfall.