| Investigating the role of model structure and surface roughness in generating flood inundation extents using 1D and 2D hydraulic models Z Liu, V Merwade, J Keighobad Journal of flood risk management, 2018 | 175* | 2018 |
| Accounting for model structure, parameter and input forcing uncertainty in flood inundation modeling using Bayesian model averaging Z Liu, V Merwade Journal of Hydrology 565, 138-149, 2018 | 96 | 2018 |
| Seasonal and regional biases in CMIP5 precipitation simulations Z Liu, A Mehran, TJ Phillips, A AghaKouchak Climate Research 60, 35-50, 2014 | 92 | 2014 |
| Towards a large-scale locally relevant flood inundation modeling framework using SWAT and LISFLOOD-FP A Rajib, Z Liu, V Merwade, AA Tavakoly, ML Follum Journal of Hydrology 581, 124406, 2020 | 88 | 2020 |
| Bayesian machine learning ensemble approach to quantify model uncertainty in predicting groundwater storage change J Yin, J Medellín-Azuara, A Escriva-Bou, Z Liu Science of The Total Environment 769, 144715, 2021 | 87 | 2021 |
| Identifying climate change impacts on surface water supply in the southern Central Valley, California Z Liu, JD Herman, G Huang, T Kadir, HE Dahlke Science of the Total Environment 759, 143429, 2021 | 48 | 2021 |
| Separation and prioritization of uncertainty sources in a raster based flood inundation model using hierarchical Bayesian model averaging Z Liu, V Merwade Journal of Hydrology 578, 124100, 2019 | 33 | 2019 |
| An Integrated Approach for Flood Inundation Modeling on Large Scales V Merwade, MA Rajib, Z Liu Bridging Science and Policy Implication for Managing Climate Extremes 10 …, 2018 | 20 | 2018 |
| Large scale high resolution flood inundation mapping in near real-time A Rajib, V Merwade, Z Liu Proceedings of the 40th anniversary of the association of state flood plain …, 2016 | 18 | 2016 |
| Bayesian retro-and prospective assessment of CMIP6 climatology in Pan Third Pole region Z Liu, Q Duan, X Fan, W Li, J Yin Climate Dynamics 60 (3), 767-784, 2023 | 12 | 2023 |
| Assessment of the effects of natural and anthropogenic drivers on extreme flood events in coastal regions W Zhang, Y Liu, W Tang, W Wang, Z Liu Stochastic Environmental Research and Risk Assessment 37 (2), 697-715, 2023 | 6 | 2023 |
| Enhancing Soil and Water Assessment Tool Snow Prediction Reliability with Remote-Sensing-Based Snow Water Equivalent Reconstruction Product for Upland Watersheds in a Multi … Z Liu, J Yin, H E. Dahlke Water 12 (11), 3190, 2020 | 6 | 2020 |
| The performance of CMIP6 models in simulating surface energy fluxes over global continents S Liu, Z Liu, Q Duan, B Huang Climate Dynamics 61 (1), 579-594, 2023 | 3 | 2023 |
| Assessment of Epistemic Uncertainty in Flood Inundation Modeling Z Liu Purdue University, 2018 | 2 | 2018 |
| Investigating the performance of CMIP6 seasonal precipitation predictions and a grid based model heterogeneity oriented deep learning bias correction framework B Huang, Z Liu, S Liu, Q Duan Journal of Geophysical Research: Atmospheres 128 (23), e2023JD039046, 2023 | 1 | 2023 |
| Bayesian assessment of CMIP6 surface net radiation predictions for Köppen–Geiger climate zones Z Liu International Journal of Climatology, 2023 | 1 | 2023 |
| Enabling Large Scale Fine Resolution Flood Modeling Using SWAT and LISFLOOD-FP Z Liu, A Rajib, V Merwade AGU Fall Meeting Abstracts 2016, H31B-1361, 2016 | 1 | 2016 |
| Climate Variability and Climate Change: Past and Future X Gao, Q Duan, T Ou, Y Fu, X Fan, Z Liu, C Miao, C Shen Water Resources in the Lancang-Mekong River Basin: Impact of Climate Change …, 2024 | | 2024 |
| Precipitation bias correction: A novel method combining wavelet analysis and quantile mapping (WA-QM) X Wu, Z Liu, Q Duan EGU24, 2024 | | 2024 |
| Uncertainty-based saltwater intrusion prediction using integrated Bayesian machine learning modeling (IBMLM) in a deep aquifer J Yin, Y Huang, C Lu, Z Liu Journal of Environmental Management 354, 120252, 2024 | | 2024 |
Venkatesh MerwadePurdue University在 purdue.edu 的电子邮件经过验证
