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Hongli Liu
Hongli Liu
Verified email at ualberta.ca - Homepage
Title
Cited by
Cited by
Year
Applying the water footprint and dynamic structural decomposition analysis on the growing water use in China during 1997–2007
Z Yang, H Liu, X Xu, T Yang
Ecological indicators 60, 634-643, 2016
752016
A path-based structural decomposition analysis of Beijing’s water footprint evolution
Z Yang, H Liu, T Yang, X Xu
Environmental earth sciences 74, 2729-2742, 2015
282015
A study of industrial relative water use efficiency of Beijing: an application of data envelopment analysis
H Wang, H Liu, C Wang, Y Bai, L Fan
Water Policy 21 (2), 326-343, 2019
152019
Efficient treatment of climate data uncertainty in ensemble Kalman filter (EnKF) based on an existing historical climate ensemble dataset
H Liu, A Thiboult, B Tolson, F Anctil, J Mai
Journal of hydrology 568, 985-996, 2019
152019
A priori discretization error metrics for distributed hydrologic modeling applications
H Liu, BA Tolson, JR Craig, M Shafii
Journal of hydrology 543, 873-891, 2016
112016
The impact of meteorological forcing uncertainty on hydrological modeling: A global analysis of cryosphere basins
G Tang, MP Clark, WJM Knoben, H Liu, S Gharari, L Arnal, HE Beck, ...
Water Resources Research 59 (6), e2022WR033767, 2023
82023
Subwatershed-based lake and river routing products for hydrologic and land surface models applied over Canada
M Han, J Mai, BA Tolson, JR Craig, É Gaborit, H Liu, K Lee
Canadian Water Resources Journal/Revue canadienne des ressources hydriques …, 2020
82020
Leveraging ensemble meteorological forcing data to improve parameter estimation of hydrologic models
H Liu, BA Tolson, AJ Newman, AW Wood
Hydrological Processes 35 (11), e14410, 2021
52021
Ensemble dressing of meteorological fields: using spatial regression to estimate uncertainty in deterministic gridded meteorological datasets
H Liu, AW Wood, AJ Newman, MP Clark
Journal of Hydrometeorology 23 (10), 1525-1543, 2022
42022
Improved data uncertainty handling in hydrologic modeling and forecasting applications
H Liu
University of Waterloo, 2019
22019
Exploring the provenance of information across Canadian hydrometric stations: Implications for discharge estimation and uncertainty quantification
S Gharari, PH Whitfield, A Pietroniro, J Freer, H Liu, MP Clark
Hydrology and Earth System Sciences Discussions 2023, 1-37, 2023
12023
Improving the prediction of precipitation, snowpack and streamflow in mountainous basins through ensemble-based variable-complexity watershed modeling
AW Wood, H Liu, AJ Newman, LA Bearup, C Leon Salazar
AGU Fall Meeting Abstracts 2022, H16F-01, 2022
12022
A new SUMMA and MizuRoute hydrologic modeling resource for US water applications
AW Wood, N Mizukami, MP Clark, AJ Newman, H Liu, J Sturtevant, ...
AGU Fall Meeting Abstracts 2020, H041-02, 2020
12020
How can spatial parameter sensitivity analysis enhance streamflow calibration routines in hyper-resolution hydrological models?
L Bacelar, H Liu, G Tang, N Vergopolan, N Mizukami, A Wood, N Chaney
EGU24, 2024
2024
Promoting Open and Transparent Hydrologic Modeling: Workflows, Tools and Self-Contained Modules
W Knoben, M Clark, L Arnal, S Gharari, K Keshavarz, H Liu, A Pietroniro, ...
EGU24, 2024
2024
An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis
H Liu, MP Clark, S Gharari, R Sheikholeslami, J Freer, WJM Knoben, ...
Water Resources Research 60 (1), e2022WR033808, 2024
2024
Improving The Prediction of Precipitation, Snowpack and Streamflow in Mountainous Basins through Data Assimilation and Variable-Complexity Watershed Modeling
AW Wood, H Liu, ED Gutmann, LA Bearup
AGU23, 2023
2023
Enabling the Calibration of Field-Scale Resolving Land Surface Models for Real-Time Streamflow Prediction through VISCOUS-Based Parameter Sensitivity Analysis
L Bacelar, H Liu, N Mizukami, G Tang, A Wood, NW Chaney
AGU23, 2023
2023
Improving the numerical simulation of hydrologic processes across large geographical domains
MP Clark, AW Wood, A Van Beusekom, H Liu, K Klenk, SJ Trim, ...
AGU23, 2023
2023
Achieving Skillful Ensemble Hydrological Prediction via Appropriate-Scale Modeling to Support Water Management Objectives
AW Wood, J Sturtevant, N Mizukami, MP Clark, H Liu, G Tang
AGU23, 2023
2023
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