| Can artificial intelligence and data-driven machine learning models match or even replace process-driven hydrologic models for streamflow simulation?: A case study of four … T Kim, T Yang, S Gao, L Zhang, Z Ding, X Wen, JJ Gourley, Y Hong Journal of Hydrology 598, 126423, 2021 | 84 | 2021 |
| Cross-examination of similarity, difference and deficiency of gauge, radar and satellite precipitation measuring uncertainties for extreme events using conventional metrics and … Z Li, M Chen, S Gao, Z Hong, G Tang, Y Wen, JJ Gourley, Y Hong Remote Sensing 12 (8), 1258, 2020 | 45 | 2020 |
| Two-decades of GPM IMERG early and final run products intercomparison: Similarity and difference in climatology, rates, and extremes Z Li, G Tang, Z Hong, M Chen, S Gao, P Kirstetter, JJ Gourley, Y Wen, ... Journal of Hydrology 594, 125975, 2021 | 34 | 2021 |
| The conterminous United States are projected to become more prone to flash floods in a high-end emissions scenario Z Li, S Gao, M Chen, JJ Gourley, C Liu, AF Prein, Y Hong Communications Earth & Environment 3 (1), 86, 2022 | 32 | 2022 |
| Evaluation of GPM IMERG and its constellations in extreme events over the conterminous united states Z Li, G Tang, P Kirstetter, S Gao, JLF Li, Y Wen, Y Hong Journal of Hydrology 606, 127357, 2022 | 32 | 2022 |
| CREST-iMAP v1. 0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction Z Li, M Chen, S Gao, X Luo, JJ Gourley, P Kirstetter, T Yang, R Kolar, ... Environmental Modelling & Software 141, 105051, 2021 | 30 | 2021 |
| Understanding the re-infiltration process to simulating streamflow in North Central Texas using the WRF-hydro modeling system J Zhang, P Lin, S Gao, Z Fang Journal of Hydrology 587, 124902, 2020 | 27 | 2020 |
| Can remote sensing technologies capture the extreme precipitation event and its cascading hydrological response? A case study of Hurricane Harvey using EF5 modeling framework M Chen, S Nabih, NS Brauer, S Gao, JJ Gourley, Z Hong, RL Kolar, ... Remote Sensing 12 (3), 445, 2020 | 26 | 2020 |
| A comprehensive flood inundation mapping for Hurricane Harvey using an integrated hydrological and hydraulic model M Chen, Z Li, S Gao, X Luo, OEJ Wing, X Shen, JJ Gourley, RL Kolar, ... Journal of Hydrometeorology 22 (7), 1713-1726, 2021 | 14 | 2021 |
| Using storm transposition to investigate the relationships between hydrologic responses and spatial moments of catchment rainfall S Gao, Z Fang Natural Hazards Review 19 (4), 04018015, 2018 | 14 | 2018 |
| Mapping dynamic non-perennial stream networks using high-resolution distributed hydrologic simulation: A case study in the upper blue river basin S Gao, M Chen, Z Li, S Cook, D Allen, T Neeson, T Yang, T Yami, Y Hong Journal of Hydrology 600, 126522, 2021 | 13 | 2021 |
| Spatiotemporal characteristics of US floods: Current status and forecast under a future warmer climate Z Li, S Gao, M Chen, JJ Gourley, Y Hong Earth's Future 10 (10), e2022EF002700, 2022 | 11 | 2022 |
| Spatiotemporal variability of global river extent and the natural driving factors revealed by decades of Landsat observations, GRACE gravimetry observations, and land surface … S Gao, Z Li, M Chen, P Lin, Z Hong, D Allen, T Neeson, Y Hong Remote Sensing of Environment 267, 112725, 2021 | 11 | 2021 |
| Improving Subseasonal-to-Seasonal forecasts in predicting the occurrence of extreme precipitation events over the contiguous US using machine learning models L Zhang, T Yang, S Gao, Y Hong, Q Zhang, X Wen, C Cheng Atmospheric Research 281, 106502, 2023 | 10 | 2023 |
| A multi-source 120-year US flood database with a unified common format and public access Z Li, M Chen, S Gao, JJ Gourley, T Yang, X Shen, R Kolar, Y Hong Earth System Science Data Discussions 2021, 1-25, 2021 | 10 | 2021 |
| Evaluation of multiradar multisensor and stage IV quantitative precipitation estimates during Hurricane Harvey S Gao, J Zhang, D Li, H Jiang, ZN Fang Natural Hazards Review 22 (1), 04020057, 2021 | 9 | 2021 |
| Investigating hydrologic responses to spatio‐temporal characteristics of storms using a Dynamic Moving Storm generator S Gao, ZN Fang Hydrological Processes 33 (21), 2729-2744, 2019 | 9 | 2019 |
| A flood predictability study for Hurricane Harvey with the CREST-iMAP model using high-resolution quantitative precipitation forecasts and U-Net deep learning precipitation … M Chen, Z Li, S Gao, M Xue, JJ Gourley, RL Kolar, Y Hong Journal of Hydrology 612, 128168, 2022 | 8 | 2022 |
| Reversal of the levee effect towards sustainable floodplain management M Ding, P Lin, S Gao, J Wang, Z Zeng, K Zheng, X Zhou, D Yamazaki, ... Nature Sustainability 6 (12), 1578-1586, 2023 | 6 | 2023 |
| CREST-VEC: a framework towards more accurate and realistic flood simulation across scales Z Li, S Gao, M Chen, J Gourley, N Mizukami, Y Hong Geoscientific Model Development 15 (15), 6181-6196, 2022 | 6 | 2022 |
