Student researcher

Ashley Wright
Dr Ashley Wright Research Leader

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.

Year Type Citation
2018 Journal Article Wright, A., Walker, J. & Pauwels, V. Identification of hydrologic models, optimized parameteres, and rainfall inputs consistent with in situ streamflow and rainfall and remotely sensed soil moisture. Journal of Hydrometeorology 19, (2018).
2017 Journal Article Wright, A., Walker, J. & Pauwels, V. Estimating rainfall time series and model parameter distributions using model data reduction and inversion techniques. AGU (2017). at <https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2017WR020442>
2017 Report Pauwels, V., Walker, J., Li, Y., Grimaldi, S. & Wright, A. Improving flood forecast skill using remote sensing data: annual report 2016-17. (Bushfire and Natural Hazards CRC, 2017).
2017 Thesis Wright, A. Estimating areal rainfall time series using input data reduction, model inversion, and data assimilation. Monash University 146 (2017). at <http://users.monash.edu.au/~jpwalker/theses/AshleyWright.pdf>
2016 Conference Paper Rumsewicz, M. Research proceedings from the 2016 Bushfire and Natural Hazards CRC and AFAC conference. Bushfire and Natural Hazards CRC & AFAC annual conference 2016 (Bushfire and Natural Hazards CRC, 2016).
2016 Report Pauwels, V., Walker, J., Li, Y., Grimaldi, S. & Wright, A. Improving flood forecast skill using remote sensing: Annual project report 2015-2016. (Bushfire and Natural Hazards CRC, 2016).
2015 Conference Paper Rumsewicz, M. Research proceedings from the 2015 Bushfire and Natural Hazards CRC & AFAC conference. Bushfire and Natural Hazards CRC & AFAC annual conference 2015 (Bushfire and Natural Hazards CRC, 2015).
Ashley Wright Conference Poster 2016
14 Aug 2016
This research introduces model input data reduction using the discrete wavelet transform to the hydrological...
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 rainfall.