Dr Ashley Wright

Completed PhD student
Dr Ashley Wright

Dr Ashley Wright completed his PhD on flood forecasting in 2017. Ashley gathered historic rainfall data and developed modelling techniques to create a better understanding of rainfall in flood prone catchments. Greater understanding of the rainfall that falls on our catchments will lead to improved flood forecasting skill.

In 2018, Ashley won the Eric Laurenson Medal, which is awarded annually to a recent PhD graduate of Monash University who has written an excellent thesis, communicated their research findings to industry and has high research utilisation potential in water science, engineering or management.

"The award gives me confidence that my work is meaningful and of high quality," Ashley said.

Post-PhD completion, Ashley completed flood modelling work in Indonesia and Fiji with Monash University, before joining the CRC project Improving flood forecast skill using remote sensing data as a postdoctoral research fellow. Ashley is now a senior associate in insights analytics at PwC.

His thesis is available here.

Student project

Land-based sensors can often be subject to damage or malfunction in a natural hazard, and direct measurement of flood levels can also be a dangerous exercise. This study, completed in December 2017, applied technology developments, including those gathered from recent space missions, to inform the flood modelling process. In particular, the role of errors within the modelling process was explored to give an understanding of the confidence provided by any predictions.
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Research team

31 Aug 2020
Key findings: Remotely sensed data can improve flood forecasting capability in poorly gauged...
AFAC19 poster
27 Aug 2019
This project investigates the use of remotely sensed soil moisture and inundation extent to improve...
Improving flood forecast skill using Remote Sensing data
19 Sep 2018
“The outcomes from this research will provide information for us to use remotely sensed data to...
Improving flood forecasting skill using remote sensing data: rainfall estimation
30 Jun 2017
This project aims to use hydrologic models and data assimilation theory to estimate catchment wide...
Improving flood forecast skill using remote sensing data: model/remote sensing data fusion
30 Jun 2017
This project investigates the use of remotely sensed soil moisture data and flood extent/level to...
Stefania Grimaldi Conference Poster 2016
14 Aug 2016
The use of remote sensing data in operational flood forecasting is currently receiving increasing...
Ashley Wright Conference Poster 2016
14 Aug 2016
This research introduces model input data reduction using the discrete wavelet transform to the...
Improving flood forecasting skills using remote sensing data: precipitation retrieval
18 Aug 2015
Accurate, timely and precise forecast precipitation is the "Holy Grail" of flood forecasting; this...
Improving Flood Forecast Skill Using Remote Sensing Data - Hydraulic Component
18 Aug 2015
Accurate flood forecast is essential to save lives and reduce damages.How far can we get using...
Improving Flood Forecasting Skill Using Remote Sensing Data - Hydrological Component
18 Aug 2015
Flood forecasts suffer from various SOURCES of uncertainties. This project investigates the benefit...

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