Hilary McMillan: Hydrology Information and Downloads

Profile

I work for NIWA: the National Institute of Water and Atmospheric Research, in Christchurch.

Contact me at work:

Hilary McMillan
National Institute of Water and Atmospheric Research Ltd
PO Box 8602, Christchurch, New Zealand

+64 3 343 8071

My research interests include rainfall-runoff modelling, process studies, model calibration, uncertainty estimation and floodplain inundation modelling. Some current projects:

1. Improving process representation in rainfall-runoff models using experimental catchment data from NZ and abroad
2. Using multi-response, multi-scale data to calibrate rainfall-runoff models, with a focus on uncertainty caused by scale differences between model and data.
3. Calibrating rainfall-runoff models against uncertain discharge data, particularly focusing on rating curve uncertainty in braided, gravel-bed rivers
4. Calibrating rainfall-runoff models in catchments with heterogeneous geology, using Markov Chain Monte Carlo methods with informal likelihood measures to explore the response surface.
5. Coupling medium-range Numerical Weather Prediction model forecasts to rainfall-runoff models, and exploring relative contributions to discharge prediction uncertainty from errors in initial conditions, model parameteristation, rainfall forecasts and validation data.

PhD Thesis

My Thesis is titled 'End-to-End Flood Risk Assessment: A Model Cascade with Uncertainty Estimation'.

Click on the title to download it in pdf format.

Papers

Here you can download pre-prints of my journal papers. I also include links to the journal sites.

1. McMillan H. K., J. Brasington (2008), End-to-end flood risk assessment: A coupled model cascade with uncertainty estimation, Water Resour. Res., 44, W03419, doi:10.1029/2007WR005995.

Link to journal site: http://www.agu.org/pubs/crossref/2008/2007WR005995.shtml

2. McMillan H. K., J. Brasington (2007). Reduced complexity strategies for modelling urban floodplain inundation. Geomorphology, Volume 90, Issues 3-4, Pages 226-243.

Link to journal site: http://dx.doi.org/doi:10.1016/j.geomorph.2006.10.031

3. Freer, J.E., McMillan, H. K., McDonnell, J.J., Beven, K.J. (2004). Constraining dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures. Journal of Hydrology, Volume 291, Issues 3-4, Pages 254-277

Link to journal site: http://dx.doi.org/doi:10.1016/j.jhydrol.2003.12.037

Posters

1. McMillan, H.K., Clark, M.P., Ibbitt, R.P.
Calibration strategies for distributed hydrological models using qualitative knowledge of spatially variable process characteristics.
Presented at European Geophysical Union Conference, Vienna, 2008.

2. Freer, J.E., McMillan, H. K., McDonnell, J.J., Beven, K.J.
Constraining dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures.
Presented at European Geophysical Union Conference, Nice, 2003.