Hilary McMillan
Hilary McMillan
Professor of Water Resources, San Diego State University, USA
Verified email at - Homepage
Cited by
Cited by
“Panta Rhei—everything flows”: change in hydrology and society—the IAHS scientific decade 2013–2022
A Montanari, G Young, HHG Savenije, D Hughes, T Wagener, LL Ren, ...
Hydrological sciences journal 58 (6), 1256-1275, 2013
Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality
H McMillan, T Krueger, J Freer
Hydrological Processes 26 (26), 4078-4111, 2012
Impacts of uncertain river flow data on rainfall‐runoff model calibration and discharge predictions
H McMillan, J Freer, F Pappenberger, T Krueger, M Clark
Hydrological Processes: An International Journal 24 (10), 1270-1284, 2010
Rainfall uncertainty in hydrological modelling: An evaluation of multiplicative error models
H McMillan, B Jackson, M Clark, D Kavetski, R Woods
Journal of Hydrology 400 (1-2), 83-94, 2011
Constraining dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures
JE Freer, H McMillan, JJ McDonnell, KJ Beven
Journal of Hydrology 291 (3-4), 254-277, 2004
Uncertainty in hydrological signatures
IK Westerberg, HK McMillan
Hydrology and Earth System Sciences 19 (9), 3951-3968, 2015
Reduced complexity strategies for modelling urban floodplain inundation
HK McMillan, J Brasington
Geomorphology 90 (3-4), 226-243, 2007
Hydrological field data from a modeller's perspective: Part 1. Diagnostic tests for model structure
HK McMillan, MP Clark, WB Bowden, M Duncan, RA Woods
Hydrological Processes 25 (4), 511-522, 2011
A comparison of methods for streamflow uncertainty estimation
JE Kiang, C Gazoorian, H McMillan, G Coxon, J Le Coz, IK Westerberg, ...
Water Resources Research 54 (10), 7149-7176, 2018
Hydrological field data from a modeller's perspective: Part 2: Process‐based evaluation of model hypotheses
MP Clark, HK McMillan, DBG Collins, D Kavetski, RA Woods
Hydrological Processes 25 (4), 523-543, 2011
Uncertainty in hydrological signatures for gauged and ungauged catchments
IK Westerberg, T Wagener, G Coxon, HK McMillan, A Castellarin, ...
Water Resources Research 52 (3), 1847-1865, 2016
Hydrological data uncertainty and its implications
HK McMillan, IK Westerberg, T Krueger
Wiley Interdisciplinary Reviews: Water 5 (6), e1319, 2018
Accelerating advances in continental domain hydrologic modeling
SA Archfield, M Clark, B Arheimer, LE Hay, H McMillan, JE Kiang, ...
Water Resources Research 51 (12), 10078-10091, 2015
Panta Rhei 2013–2015: global perspectives on hydrology, society and change
H McMillan, A Montanari, C Cudennec, H Savenije, H Kreibich, T Krueger, ...
Hydrological Sciences Journal 61 (7), 1174-1191, 2016
Operational hydrological data assimilation with the recursive ensemble Kalman filter
HK McMillan, E÷ Hreinsson, MP Clark, SK Singh, C Zammit, MJ Uddstrom
Hydrology and Earth System Sciences 17 (1), 21-38, 2013
Linking hydrologic signatures to hydrologic processes: A review
H McMillan
Hydrological Processes 34 (6), 1393-1409, 2020
Do time‐variable tracers aid the evaluation of hydrological model structure? A multimodel approach
H McMillan, D Tetzlaff, M Clark, C Soulsby
Water Resources Research 48 (5), 2012
Five guidelines for selecting hydrological signatures
H McMillan, I Westerberg, F Branger
Hydrological Processes 31 (26), 4757-4761, 2017
Rating curve estimation under epistemic uncertainty
HK McMillan, IK Westerberg
Hydrological Processes 29 (7), 1873-1882, 2015
A review of hydrologic signatures and their applications
HK McMillan
Wiley Interdisciplinary Reviews: Water 8 (1), e1499, 2021
The system can't perform the operation now. Try again later.
Articles 1–20