| Uncertainty quantification and reliability assessment in operational oil spill forecast modeling system X Hou, BR Hodges, D Feng, Q Liu Marine Pollution Bulletin 116 (1-2), 420-433, 2017 | 22 | 2017 |
| Physics‐Informed Neural Networks of the Saint‐Venant Equations for Downscaling a Large‐Scale River Model D Feng, Z Tan, QZ He Water Resources Research 59 (2), e2022WR033168, 2023 | 20 | 2023 |
| Investigating coastal backwater effects and flooding in the coastal zone using a global river transport model on an unstructured mesh D Feng, Z Tan, D Engwirda, C Liao, D Xu, G Bisht, T Zhou, HY Li, ... Hydrology and Earth System Sciences 26 (21), 5473-5491, 2022 | 10 | 2022 |
| Innovative Approaches for Geometric Uncertainty Quantification in an Operational Oil Spill Modeling System D Feng, P Passalacqua, BR Hodges Journal of Marine Science and Engineering 7 (8), 259, 2019 | 8 | 2019 |
| Tidal eddies at a narrow channel inlet in operational oil spill models D Feng, BR Hodges, SA Socolofsky, KM Thyng Marine pollution bulletin 140, 374-387, 2019 | 8 | 2019 |
| The oil spill transport across the shelf-estuary interface D Feng, BR Hodges Marine Pollution Bulletin 153, 110958, 2020 | 6 | 2020 |
| Understanding the Compound Flood Risk along the Coast of the Contiguous United States D Feng, Z Tan, D Xu, LR Leung Hydrology and Earth System Sciences 27 (21), 3911-3934, 2023 | 2 | 2023 |
| The Impacts of Mesh Resolution on Simulation of Flooding using a 2D Shallow Water Equation Model: Hurricane Harvey Case Study D Xu, G Bisht, D Engwirda, D Feng, Z Tan AGU23, 2023 | | 2023 |
| Simulation of Compound Flooding using River-Ocean Two-way Coupled E3SM Ensemble on Variable-resolution Meshes D Feng, Z Tan, D Engwirda, JD Wolfe, D Xu, C Liao, G Bisht, J Benedict, ... AGU23, 2023 | | 2023 |
| Development of Land-Ocean Hydrologic Coupling in the Energy Exascale Earth System Model (E3SM) D Xu, G Bisht, D Feng, Z Tan, L Li, H Qiu, D Engwirda, LR Leung AGU23, 2023 | | 2023 |
| Modeling Inter-Basin Water Transfer in E3SM: A Delaware River Basin Case Study T Zhou, MG Cooper, C Liao, D Xu, D Engwirda, N Sun, Z Tan, HY Li, ... AGU23, 2023 | | 2023 |
| Development of a River Dynamical Core for E3SM to Capture Compound Flooding G Bisht, D Xu, J Johnson, J Brown, M Knepley, D Feng, Z Tan, D Hao, ... AGU23, 2023 | | 2023 |
| A New National Dataset for Belowground Urban Stormwater Networks HY Li, S Eriget, T Chegini, G Bisht, D Engwirda, D Feng, C Liao, Z Tan, ... AGU23, 2023 | | 2023 |
| The role of spatial heterogeneity on land surface modeling of water and energy simulations H Li, L Li, G Bisht, LR Leung, D Xu, D Feng, D Hao, C Liao, D Engwirda, ... AGU Fall Meeting Abstracts 2022, H22Q-1071, 2022 | | 2022 |
| Solving River Dynamics at the River-ocean Interface using a Physics-informed Deep Learning Based Data Assimilation Approach D Feng, Z Tan, Q He AGU Fall Meeting Abstracts 2022, H36C-05, 2022 | | 2022 |
| Simulating Compound Flooding Using E3SM: The Impact of Hurricane Irene and Tropical Storm Lee D Engwirda, D Feng, D Xu, C Liao, JD Wolfe, G Bisht, Z Tan, T Zhou, ... AGU Fall Meeting Abstracts 2022, OS52B-0507, 2022 | | 2022 |
| Physics-informed neural networks of the Saint-Venant equations for downscaling a large-scale river model D Feng, Z Tan, QZ He arXiv preprint arXiv:2210.03240, 2022 | | 2022 |
| The investigation of compound flooding using a two-way coupled earth system model D Feng, Z Tan, C Liao, G Bisht, D Engwirda AGU Fall Meeting Abstracts 2021, OS35A-02, 2021 | | 2021 |
| A unified model coupling of the land, river, and ocean models in E3SM to simulate coastal processes G Bisht, D Engwirda, D Feng, E Hunke, LR Leung, C Liao, M Shi, Z Tan, ... AGU Fall Meeting Abstracts 2021, OS35A-01, 2021 | | 2021 |
Ben R. HodgesUniversity of Texas at AustinVerified email at utexas.edu
