Hilary McMillan
Hilary McMillan
Associate Professor of Water Resources, San Diego State University, USA
Bestätigte E-Mail-Adresse bei sdsu.edu - Startseite
Zitiert von
Zitiert von
“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
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
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
Operational hydrological data assimilation with the recursive ensemble Kalman filter
HK McMillan, EÖ Hreinsson, MP Clark, SK Singh, C Zammit, MJ Uddstrom
Hydrology and Earth System Sciences 17 (1), 21, 2013
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
Uncertainty in hydrological signatures
IK Westerberg, HK McMillan
Hydrology and Earth System Sciences 19 (9), 3951, 2015
Rainfall‐runoff model calibration using informal likelihood measures within a Markov chain Monte Carlo sampling scheme
H McMillan, M Clark
Water Resources Research 45 (4), 2009
End‐to‐end flood risk assessment: A coupled model cascade with uncertainty estimation
HK McMillan, J Brasington
Water Resources Research 44 (3), 2008
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
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
Rating curve estimation under epistemic uncertainty
HK McMillan, IK Westerberg
Hydrological Processes 29 (7), 1873-1882, 2015
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
Spatial variability of hydrological processes and model structure diagnostics in a 50 km2 catchment
H McMillan, M Gueguen, E Grimon, R Woods, M Clark, DE Rupp
Hydrological Processes 28 (18), 4896-4913, 2014
Influence of soil and climate on root zone storage capacity
T de Boer‐Euser, HK McMillan, M Hrachowitz, HC Winsemius, ...
Water Resources Research 52 (3), 2009-2024, 2016
Use of an entropy‐based metric in multiobjective calibration to improve model performance
IG Pechlivanidis, B Jackson, H McMillan, H Gupta
Water Resources Research 50 (10), 8066-8083, 2014
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