“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 | 798 | 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 | 469 | 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 | 291 | 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 | 279 | 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 | 210 | 2004 |
Uncertainty in hydrological signatures IK Westerberg, HK McMillan Hydrology and Earth System Sciences 19 (9), 3951-3968, 2015 | 184 | 2015 |
Reduced complexity strategies for modelling urban floodplain inundation HK McMillan, J Brasington Geomorphology 90 (3-4), 226-243, 2007 | 176 | 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 | 165 | 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 | 150 | 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 | 144 | 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 | 143 | 2016 |
Hydrological data uncertainty and its implications HK McMillan, IK Westerberg, T Krueger Wiley Interdisciplinary Reviews: Water 5 (6), e1319, 2018 | 139 | 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 | 136 | 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 | 134 | 2016 |
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), 21-38, 2013 | 134 | 2013 |
Linking hydrologic signatures to hydrologic processes: A review H McMillan Hydrological Processes 34 (6), 1393-1409, 2020 | 123 | 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 | 108 | 2012 |
Five guidelines for selecting hydrological signatures H McMillan, I Westerberg, F Branger Hydrological Processes 31 (26), 4757-4761, 2017 | 100 | 2017 |
Rating curve estimation under epistemic uncertainty HK McMillan, IK Westerberg Hydrological Processes 29 (7), 1873-1882, 2015 | 92 | 2015 |
A review of hydrologic signatures and their applications HK McMillan Wiley Interdisciplinary Reviews: Water 8 (1), e1499, 2021 | 89 | 2021 |