Publication Types:

A decade of terrestrial water storage changes across the contiguous United States from GPS and GRACE

Journal Paper
Adusumilli, S., Borsa, A. A., Fish M. A., McMillan, H., Silverii, F
Geophysical Research Letters, 46, 13006– 13015
Publication year: 2019

Increased climate variability is driving changes in water storage across the contiguous United States (CONUS). Observational estimates of these storage changes are important for validation of hydrological models and predicting future water availability. We estimate CONUS terrestrial water storage anomalies (TWSA) from 2007–2017 using Global Positioning System (GPS) displacements, constrained by lower‐resolution TWSA observations from Gravity Recovery and Climate Experiment (GRACE) satellite gravity—a combination that provides higher spatiotemporal resolution than previous estimates. The relative contribution of seasonal, interannual, and subseasonal TWSA varies widely across CONUS watersheds, with implications for regional water security. Separately, we find positive correlation between TWSA and the El Niño/Southern Oscillation in the southeastern Texas‐Gulf and South Atlantic‐Gulf watersheds and an unexpected negative correlation in the southwest. In the western United States, atmospheric rivers (ARs) drive a large fraction of subseasonal TWSA, with the top 5% of ARs contributing 73% of total AR‐related TWSA increases.

Impact of stage measurement errors on streamflow uncertainty

Journal Paper
I Horner, B Renard, J Le Coz, F Branger, HK McMillan, G Pierrefeu
Water Resources Research 54 (3), 1952-1976
Publication year: 2018

Hydrological data uncertainty and its implications

Journal Paper
McMillan, H., Westerberg, I., Krueger, T.
WIRES Water, In Press
Publication year: 2018

A Comparison of Methods for Streamflow Uncertainty Estimation

Journal Paper
Kiang, J., Gazoorian, C., McMillan, H., et al.
Water Resources Research, In Press.
Publication year: 2018

Scientific debate of Panta Rhei research–how to advance our knowledge of changes in hydrology and society?

Journal Paper
Kreibich, H., Krueger, T., Van Loon, A., Mejia, A., Liu, J., McMillan, H., & Castellarin, A.
Hydrological Sciences Journal 62, 3:331-333.
Publication year: 2017

How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications.

Journal Paper
McMillan, H., Seibert, J., Petersen-Overleir, A., Lang, M., White, P., Snelder, T., Rutherford, K., Krueger, T., Mason, R., Kiang, J.
Water Resources Research, in press
Publication year: 2017

Five Guidelines for Selecting Hydrological Signatures

Journal Paper
McMillan, H., Westerberg, I., Branger., F.
Hydrological Processes (in press)
Publication year: 2017

Validation of a national hydrological model

Journal Paper
McMillan, H., Booker, D.J., Cattoën, C
Journal of Hydrology, Volume 541, Part B, Pages 800–815
Publication year: 2016

Uncertainty in hydrological signatures for gauged and ungauged catchments.

Journal Paper
Westerberg, I., Wagener, T., Coxon, G., McMillan, H., Castellarin, A., Montanari, A., Freer, J.
Water Resources Research. 52, 1847–1865
Publication year: 2016

Robust informational entropy-based descriptors of flow in catchment hydrology.

Journal Paper
Pechlivanidis, I., Jackson, B., McMillan, H., Gupta, H.
Hydrological Sciences Journal. 61 (1), 1 – 18
Publication year: 2016

Panta Rhei 2013–2015: global perspectives on hydrology, society and change.

Journal Paper
McMillan, H., Montanari, A., Cudennec, C., Savenije, H., Kreibich, H., Krueger, T., Liu, J., Mejia, A., Van Loon, A., Aksoy, H., Di Baldassarre, G.
Hydrological Sciences Journal, 61(7), Pages 1174-1191.
Publication year: 2016

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

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

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

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