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Assoc Prof Valentijn Pauwels
Project Leader
Key interests:

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Project leadership

The objective of the project is to demonstrate the utility of coupled hydrologic/hydraulic model forecasting and data assimilation using remotely sensed data for potential operational use.

Supervisory roles

Posters credited

Improving flood forecasting skill using remote sensing data


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.

Improving flood forecasting skills using remote sensing data: precipitation retrieval


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.

Key Topics:
Improving Flood Forecast Skill Using Remote Sensing Data - Hydraulic Component


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?

Improving Flood Forecasting Skill Using Remote Sensing Data - Hydrological Component


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.

Stefania Grimaldi Conference Poster 2016


The use of remote sensing data in operational flood forecasting is currently receiving increasing attention.

Key Topics:
Ashley Wright Conference Poster 2016


This research introduces model input data reduction using the discrete wavelet transform to the hydrological sciences.

Key Topics:

Resources credited

All the resources from our 2016 conference

Research program in detail

Where, why and how are Australians dying in floods?

2015-2016 year in review

Bushfire planning with kids ebook