| Lake water temperature modeling in an Era of climate change: Data sources, models, and future prospects S Piccolroaz, S Zhu, R Ladwig, L Carrea, S Oliver, AP Piotrowski, M Ptak, ... Reviews of Geophysics 62 (1), e2023RG000816, 2024 | 9 | 2024 |
| Physics-guided machine learning from simulated data with different physical parameters S Chen, N Kalanat, Y Xie, S Li, JA Zwart, JM Sadler, AP Appling, ... Knowledge and Information Systems 65 (8), 3223-3250, 2023 | 6 | 2023 |
| Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations JA Zwart, J Diaz, S Hamshaw, S Oliver, JC Ross, M Sleckman, AP Appling, ... Frontiers in Water 5, 1184992, 2023 | 2 | 2023 |
| Near‐term forecasts of stream temperature using deep learning and data assimilation in support of management decisions JA Zwart, SK Oliver, WD Watkins, JM Sadler, AP Appling, ... JAWRA Journal of the American Water Resources Association 59 (2), 317-337, 2023 | 8 | 2023 |
| Pesticide prioritization by potential biological effects in tributaries of the Laurentian Great Lakes SK Oliver, SR Corsi, AK Baldwin, MA Nott, GT Ankley, BR Blackwell, ... Environmental Toxicology and Chemistry 42 (2), 367-384, 2023 | 7 | 2023 |
| Prioritizing pesticides of potential concern and identifying potential mixture effects in Great Lakes tributaries using passive samplers LC Loken, SR Corsi, DA Alvarez, GT Ankley, AK Baldwin, BR Blackwell, ... Environmental Toxicology and Chemistry 42 (2), 340-366, 2023 | 7 | 2023 |
| GRiMeDB: The global river database of methane concentrations and fluxes EH Stanley, LC Loken, NJ Casson, SK Oliver, RA Sponseller, MB Wallin, ... Earth System Science Data Discussions 2022, 1-94, 2022 | 19 | 2022 |
| Machine learning for understanding inland water quantity, quality, and ecology AP Appling, SK Oliver, JS Read, JM Sadler, J Zwart EarthArXiv, 2022 | 13 | 2022 |
| Using Machine Learning to Advance Decision-Relevant Predictions of River Water Quality C Varadharajan, A Appling, B Arora, DS Christianson, VC Hendrix, ... Frontiers in Hydrology 2022, 246-01, 2022 | | 2022 |
| Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality? C Varadharajan, AP Appling, B Arora, DS Christianson, VC Hendrix, ... Hydrological Processes 36 (4), e14565, 2022 | 35 | 2022 |
| Multi‐Task Deep Learning of Daily Streamflow and Water Temperature JM Sadler, AP Appling, JS Read, SK Oliver, X Jia, JA Zwart, V Kumar Water Resources Research 58 (4), e2021WR030138, 2022 | 30 | 2022 |
| Integrating ecosystem metabolism and consumer allochthony reveals nonlinear drivers in lake organic matter processing MA Holgerson, RA Hovel, PT Kelly, LE Bortolotti, JA Brentrup, AR Bellamy, ... Limnology and Oceanography 67, S71-S85, 2022 | 5 | 2022 |
| GRiMeDB: a comprehensive global database of methane concentrations and fluxes in fluvial ecosystems with supporting physical and chemical information EH Stanley, LC Loken, NJ Casson, SK Oliver, RA Sponseller, MB Wallin, ... Environmental Data Initiative, 2022 | 2 | 2022 |
| Teams, networks, and networks of networks advancing our understanding and conservation of inland waters E Read, J Cross, NM Herman-Mercer, SK Oliver, CM O'Reilly | 1 | 2022 |
| Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature X Jia, S Chen, Y Xie, H Yang, A Appling, S Oliver, Z Jiang Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 4 | 2022 |
| Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems X Jia, Y Xie, S Li, S Chen, J Zwart, J Sadler, A Appling, S Oliver, J Read 2021 IEEE International Conference on Data Mining (ICDM), 270-279, 2021 | 19 | 2021 |
| Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature T Bao, X Jia, J Zwart, J Sadler, A Appling, S Oliver, TT Johnson 2021 IEEE International Conference on Data Mining (ICDM), 11-20, 2021 | 15 | 2021 |
| Heterogeneous stream-reservoir graph networks with data assimilation S Chen, A Appling, S Oliver, H Corson-Dosch, J Read, J Sadler, J Zwart, ... 2021 IEEE International Conference on Data Mining (ICDM), 1024-1029, 2021 | 18 | 2021 |
| Deep learning approaches for improving prediction of daily stream temperature in data‐scarce, unmonitored, and dammed basins F Rahmani, C Shen, S Oliver, K Lawson, A Appling Hydrological Processes 35 (11), e14400, 2021 | 44 | 2021 |
| Near-term forecasts of stream temperature using process-guided deep learning and data assimilation JA Zwart, SK Oliver, WD Watkins, JM Sadler, AP Appling, ... EarthArXiv, 2021 | 2 | 2021 |
Alison ApplingUnited States Geological Survey在 usgs.gov 的电子邮件经过验证
