Publications

Non-parametric catchment clustering using the data depth function.

Journal Paper

Singh, S.K., McMillan, H., Bárdossy, A., Chebana, F.

Hydrological Sciences Journal 61, 15: 2649-2667

Publication year: 2016

Modeling surface water–groundwater interaction in New Zealand: Model development and application.

Journal Paper

Yang, J., McMillan, H., Zammit, C.

Hydrological Processes, doi: 10.1002/hyp.11075

Publication year: 2016

mizuRoute (version 1) - river network routing tool for continental domain water resources applications.

Journal Paper

Mizukami, N., Clark, M. […] McMillan, H.

Geoscientific Model Development 9 (6), 2223-2238.

Publication year: 2016

Lateral hydrological processes

Book Chapter

McMillan, H., Caruso, B., Srinivasan, M.S.

In: Advances in New Zealand Freshwater Science, Eds: Jellyman, P., Davie, T. Pearson, C., Harding, J., For New Zealand Hydrological Society and New Zealand Freshwater Sciences Society.

Publication year: 2016

Influence of soil and climate on root zone storage capacity.

Journal Paper

de Boer‐Euser, T., McMillan, H., Hrachowitz, M., Winsemius, H. C., Savenije, H. H.

Water Resources Research 52, 2009–2024.

Publication year: 2016

Field measurement of recharge under irrigation in Canterbury, New Zealand, using drainage lysimeters.

Journal Paper

Srinivasan, MS., Duncan, M., McMillan, H.

Agricultural Water Management 166, 17 – 32.

Publication year: 2016

Coupling a high-resolution weather model with a hydrological model for flood forecasting in New Zealand

Journal Paper

Cattoen, C., McMillan, H., Moore, S.

Journal of Hydrology (NZ) 55 (1), 1

Publication year: 2016

Accelerating advances in continental domain hydrologic modeling

Journal Paper

Archfield, S., Clark, M., […] McMillan, H. et al.

Water Resources Research, 51(12): 10078-10091

Publication year: 2016

Uncertainty in hydrological signatures

Journal Paper

Westerberg, I., McMillan, H.

Hydrol. Earth Syst. Sci., 12, 4233-4270, doi:10.5194/hessd-12-4233-2015

Publication year: 2015

Rating curve estimation under epistemic uncertainty.

Journal Paper

McMillan, H., Westerberg, I.

Hydrological Processes 29: 1873–1882.

Publication year: 2015

Characteristics and controls of variability in surface and groundwaters in a headwater catchment.

Journal Paper

McMillan, H., Srinivasan MS.

Hydrology and Earth System Sciences 19, p 1767-1786.

Publication year: 2015

Analysis of Water Quality in New Zealand Lakes and Rivers: Data sources, datasets, assumptions, limitations, methods and results.

Technical Report

Larned, S., Snelder, T., Unwin, M., McBride, G., Verburg, P., McMillan, H.

Prepared for Ministry for the Environment. NIWA Technical Report No: CHC2015-033

Publication year: 2015

A pressure-state-impact model for freshwater flows with example application to Canterbury.

Technical Report

Booker, D.J. Cattoën-Gilbert, C. Dudley, B. Henderson, R.D. McMillan, H. Yang J.

NIWA report to Ministry for the Environment, MFE14505, 116pp.

Publication year: 2015

Use of an entropy-based metric in multi-objective calibration to improve model performance.

Journal Paper

Pechlivanidis, I., Jackson, B., McMillan, H., Gupta, H.

Water Resources Research 50(10): 8066–8083.

Publication year: 2014

Spatial variability of processes and model structure diagnostics in a 50 km2 catchment.

Journal Paper

McMillan H, Guegen M, Grimon E, Woods R, Clark M, Rupp D

Hydrological Processes 28(18): 4896–4913.

Publication year: 2014

Use of the data depth function to differentiate between cases of interpolation and extrapolation in hydrological model prediction.

Journal Paper

Singh SK, McMillan H, Bardossy A.

Journal of Hydrology, 477: 213–228

Publication year: 2013

The Urban Impacts Toolbox: An example of modelling the effect of climate change and sea level rise on future flooding.

Journal Paper

McMillan H., M. Duncan, G. Smart, J. Sturman, S. Poyck, S. Reese, A. Tait, E. Hreinsson, J. Walsh.

Weather and Climate (NZ). 32(2), 21-39

Publication year: 2013

Operational hydrological data assimilation with the Recursive Ensemble Kalman Filter.

Journal Paper

McMillan H., Hreinsson E.O., Clark M.P., Singh S.K., Zammit C., Uddstrom M.J.

Hydrology and Earth System Sciences, 17: 21-38

Publication year: 2013

Estimation of regional departures from global-average sea-level rise around New Zealand from AOGCM simulations.

Journal Paper

Ackerley D, Bell RG, Mullan AB, McMillan H.

Weather and Climate (NZ) 07/2013; 33(1):2-22.

Publication year: 2013

“Panta Rhei – Everything Flows”: Change in hydrology and society – The IAHS Scientific Decade 2013-2022.

Journal Paper

Montanari, A., […] H. McMillan, et al.

Hydrological Sciences Journal 58(6): 1256–1275.

Publication year: 2013

Using an informational entropy-based metric as a diagnostic of flow duration to drive model parameter identification.

Conference Proceedings

Pechlivanidis, I.G., B. Jackson, H. McMillan, H. Gupta

Global Network Environmental Science & Technology Journal, 14(3): 325-334

Publication year: 2012

The effects of climate change on runoff in the Lindis and Matukituki catchments, Central Otago, New Zealand.

Journal Paper

Gawith, D., Kingston, D.G., McMillan, H.

Journal of Hydrology (NZ) 51(2): 121-136

Publication year: 2012

Effect of spatial variability and seasonality in soil moisture on drainage thresholds and fluxes in a conceptual hydrological model.

Journal Paper

McMillan, H.

Hydrological Processes 26(18): 2838–2844

Publication year: 2012

Do time variable tracers aid the evaluation of hydrological model structure? A multi-model approach.

Journal Paper

McMillan, H., D. Tetzlaff, M. Clark, C. Soulsby

Water Resources Research. 48, W05501

Publication year: 2012

Benchmarking observational uncertainties for hydrology: Rainfall, river discharge and water quality.

Journal Paper

McMillan, H., T. Krueger, J. Freer

Hydrological Processes, 26 (26): 4078 -4111

Publication year: 2012

Rainfall Uncertainty in Hydrological Modelling: An Evaluation of Multiplicative Error Models.

Journal Paper

McMillan, H., Jackson B., Clark M., Kavetski D., Woods R.

Journal of Hydrology. 400(1-2): 83-94

Publication year: 2011

Hydrological field data from a modeller’s perspective: Part 2. Process-based evaluation of model hypotheses.

Journal Paper

Clark M., McMillan H., Collins D., Kavetski D., Woods R.

Hydrological Processes, doi: 10.1002/hyp.7902

Publication year: 2011

Hydrological field data from a modeller’s perspective: Part 1. Diagnostic tests for model structure.

Journal Paper

McMillan H., Clark M., Bowden W., Duncan M., Woods R.

Hydrological Processes. doi: 10.1002/hyp.7841.

Publication year: 2011

Combined snow- and streamflow modelling to estimate impacts of climate change on water resources in the Clutha, New Zealand.

Journal Paper

Poyck, S., J. Hendrikx, H. McMillan. E.O. Hreinsson, R. Woods

Journal of Hydrology (NZ) 50: 293-312

Publication year: 2011

Impacts of Uncertain River Flow Data on Rainfall-Runoff Model Calibration and Discharge Predictions.

Journal Paper

McMillan H., Freer J., Pappenberger F., Krueger T., Clark M.

Hydrological Processes 24(10): p 1270-1284. doi: 10.1002/hyp.7587

Publication year: 2010

Hilary McMillan

San Diego State University

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Non-parametric catchment clustering using the data depth function.

Modeling surface water–groundwater interaction in New Zealand: Model development and application.

mizuRoute (version 1) - river network routing tool for continental domain water resources applications.

Lateral hydrological processes

Influence of soil and climate on root zone storage capacity.

Field measurement of recharge under irrigation in Canterbury, New Zealand, using drainage lysimeters.

Coupling a high-resolution weather model with a hydrological model for flood forecasting in New Zealand

Accelerating advances in continental domain hydrologic modeling

Uncertainty in hydrological signatures

Rating curve estimation under epistemic uncertainty.

Characteristics and controls of variability in surface and groundwaters in a headwater catchment.

Analysis of Water Quality in New Zealand Lakes and Rivers: Data sources, datasets, assumptions, limitations, methods and results.

A pressure-state-impact model for freshwater flows with example application to Canterbury.

Use of an entropy-based metric in multi-objective calibration to improve model performance.

Spatial variability of processes and model structure diagnostics in a 50 km2 catchment.

Use of the data depth function to differentiate between cases of interpolation and extrapolation in hydrological model prediction.

The Urban Impacts Toolbox: An example of modelling the effect of climate change and sea level rise on future flooding.

Operational hydrological data assimilation with the Recursive Ensemble Kalman Filter.

Estimation of regional departures from global-average sea-level rise around New Zealand from AOGCM simulations.

“Panta Rhei – Everything Flows”: Change in hydrology and society – The IAHS Scientific Decade 2013-2022.

Using an informational entropy-based metric as a diagnostic of flow duration to drive model parameter identification.

The effects of climate change on runoff in the Lindis and Matukituki catchments, Central Otago, New Zealand.

Effect of spatial variability and seasonality in soil moisture on drainage thresholds and fluxes in a conceptual hydrological model.

Do time variable tracers aid the evaluation of hydrological model structure? A multi-model approach.

Benchmarking observational uncertainties for hydrology: Rainfall, river discharge and water quality.

Rainfall Uncertainty in Hydrological Modelling: An Evaluation of Multiplicative Error Models.

Hydrological field data from a modeller’s perspective: Part 2. Process-based evaluation of model hypotheses.

Hydrological field data from a modeller’s perspective: Part 1. Diagnostic tests for model structure.

Combined snow- and streamflow modelling to estimate impacts of climate change on water resources in the Clutha, New Zealand.

Impacts of Uncertain River Flow Data on Rainfall-Runoff Model Calibration and Discharge Predictions.