| Description and evaluation of the community ice sheet model (CISM) v2. 1 WH Lipscomb, SF Price, MJ Hoffman, GR Leguy, AR Bennett, SL Bradley, ... Geoscientific Model Development 12 (1), 387-424, 2019 | 68 | 2019 |
| Does information theory provide a new paradigm for earth science? Hypothesis testing GS Nearing, BL Ruddell, AR Bennett, C Prieto, HV Gupta Water Resources Research 56 (2), e2019WR024918, 2020 | 42 | 2020 |
| Deep learned process parameterizations provide better representations of turbulent heat fluxes in hydrologic models A Bennett, B Nijssen Water Resources Research 57 (5), e2020WR029328, 2021 | 40 | 2021 |
| Quantifying process connectivity with transfer entropy in hydrologic models A Bennett, B Nijssen, G Ou, M Clark, G Nearing Water Resources Research 55 (6), 4613-4629, 2019 | 39 | 2019 |
| Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces YD Choi, JL Goodall, JM Sadler, AM Castronova, A Bennett, Z Li, ... Environmental Modelling & Software 135, 104888, 2021 | 35 | 2021 |
| MetSim: A Python package for estimation and disaggregation of meteorological data AR Bennett, JJ Hamman, B Nijssen Journal of Open Source Software 5 (47), 2042, 2020 | 29 | 2020 |
| Community workflows to advance reproducibility in hydrologic modeling: Separating model‐agnostic and model‐specific configuration steps in applications of large‐domain … WJM Knoben, MP Clark, J Bales, A Bennett, S Gharari, CB Marsh, ... Water Resources Research 58 (11), e2021WR031753, 2022 | 19 | 2022 |
| The numerical implementation of land models: Problem formulation and laugh tests MP Clark, R Zolfaghari, KR Green, S Trim, WJM Knoben, A Bennett, ... Journal of Hydrometeorology 22 (6), 1627-1648, 2021 | 17 | 2021 |
| The eclipse integrated computational environment JJ Billings, AR Bennett, J Deyton, K Gammeltoft, J Graham, D Gorin, ... SoftwareX 7, 234-244, 2018 | 10 | 2018 |
| On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization HR Maier, F Zheng, H Gupta, J Chen, J Mai, D Savic, R Loritz, W Wu, ... Environmental Modelling & Software 167, 105779, 2023 | 9 | 2023 |
| Evaluating multiple canopy‐snow unloading parameterizations in SUMMA with time‐lapse photography characterized by citizen scientists C Lumbrazo, A Bennett, WR Currier, B Nijssen, J Lundquist Water Resources Research 58 (6), e2021WR030852, 2022 | 7 | 2022 |
| Building cyberinfrastructure for the reuse and reproducibility of complex hydrologic modeling studies I Maghami, A Van Beusekom, L Hay, Z Li, A Bennett, YD Choi, B Nijssen, ... Environmental Modelling & Software 164, 105689, 2023 | 6 | 2023 |
| LIVVkit: An extensible, python‐based, land ice verification and validation toolkit for ice sheet models JH Kennedy, AR Bennett, KJ Evans, S Price, M Hoffman, WH Lipscomb, ... Journal of Advances in Modeling Earth Systems 9 (2), 854-869, 2017 | 6 | 2017 |
| Explainable AI uncovers how neural networks learn to regionalize in simulations of turbulent heat fluxes at FluxNet sites A Bennett, B Nijssen Authorea Preprints, 2022 | 4 | 2022 |
| When and where are multiple snow layers important for simulations of snow accumulation and melt? NC Cristea, A Bennett, B Nijssen, JD Lundquist Water Resources Research 58 (10), e2020WR028993, 2022 | 4 | 2022 |
| Hydrologic model sensitivity to temporal aggregation of meteorological forcing data: a case study for the contiguous United States AE Van Beusekom, LE Hay, AR Bennett, YD Choi, MP Clark, JL Goodall, ... Journal of Hydrometeorology 23 (2), 167-183, 2022 | 4 | 2022 |
| AI for physics-inspired hydrology modeling A Bennett Artificial intelligence in earth science, 157-203, 2023 | 2 | 2023 |
| A process-conditioned and spatially consistent method for reducing systematic biases in modeled streamflow A Bennett, A Stein, Y Cheng, B Nijssen, M Mcguire Journal of Hydrometeorology, 2022 | 2 | 2022 |
| LIVVkit 2.1: automated and extensible ice sheet model validation KJ Evans, JH Kennedy, D Lu, MM Forrester, S Price, J Fyke, AR Bennett, ... Geoscientific Model Development 12 (3), 1067-1086, 2019 | 2 | 2019 |
| Spatio-temporal machine learning for continental scale terrestrial hydrology A Bennett, H Tran, L De la Fuente, A Triplett, Y Ma, P Melchior, ... Authorea Preprints, 2023 | | 2023 |
Bart NijssenUniversity of WashingtonVerified email at uw.edu
