Dr. Hongli Liu

Education

PhD, 2019: Civil Engineering, University of Waterloo, Waterloo, Ontario, Canada.

MEng, 2014: Environmental Science, Beijing Normal University, Beijing, China.

BSc, 2011: Geography, Shandong Normal University, Jinan, Shandong, China.

Experience

2021-present: Postdoctoral Fellow, University of Saskatchewan, Canmore, Alberta, Canada.

2019-2021: Postdoctoral Fellow, National Center for Atmospheric Research, Boulder, Colorado, USA.

Short Bio

Hongli Liu is a Postdoctoral Fellow at the University of Saskatchewan at Canmore. Her research focuses on large-scale parameter estimation, geospatial intelligence, and uncertainty analysis in hydrologic modeling.

Publications

Ming Han, Juliane Mai, Bryan A. Tolson, James R. Craig, Étienne Gaborit, Hongli Liu, Konhee Lee, 2020: Subwatershed-based lake and river routing products for hydrologic and land surface models applied over Canada. Canadian Water Resources Journal, doi: 10.1080/07011784.2020.1772116

Hongli Liu, Antoine Thiboult, Bryan A. Tolson, François Anctil, Juliane Mai, 2019: Efficient treatment of climate data uncertainty in ensemble Kalman filter based on an existing historical climate ensemble dataset. Journal of Hydrology, doi: 10.1016/j.jhydrol.2018.11.047

Hongrui Wang, Hongli Liu, Cheng Wang, Ying Bai, Linlin Fan, 2019: A study of industrial relative water use efficiency of Beijing: An application of Data Envelopment Analysis. Water Policy, doi: 10.2166/wp.2019.019

Hongli Liu, Bryan A. Tolson, James R. Craig, Mahyar Shafii, 2016: A priori discretization error metrics for distributed hydrologic modeling applications. Journal of Hydrology, doi: 10.1016/j.jhydrol.2016.11.008

Dr. Hongli Liu

Postdoctoral Fellow, Centre for Hydrology, Coldwater Laboratory

About

We seek to improve understanding and predictions of hydrological processes at scales from hillslopes to continents

Our Home

Coldwater Laboratory
1151 Sidney Street, unit 116
Canmore, Alberta, T1W 3G1, CANADA