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Kathryn Lawson
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2020 – today
- 2023
- [i6]Chaopeng Shen
, Alison P. Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin V. Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran J. Harman, Martyn Clark, Matthew W. Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Chris Rackauckas, Tirthankar Roy, Chonggang Xu, Kathryn Lawson
Differentiable modeling to unify machine learning and physical models and advance Geosciences. CoRR abs/2301.04027 (2023) - 2022
- [j1]Savinay Nagendra
Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4349-4370 (2022) - [i5]Dapeng Feng, Jiangtao Liu, Kathryn Lawson
Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy. CoRR abs/2203.14827 (2022) - 2021
- [i4]Kuai Fang, Daniel Kifer, Kathryn Lawson
The data synergy effects of time-series deep learning models in hydrology. CoRR abs/2101.01876 (2021) - [i3]Wenyu Ouyang, Kathryn Lawson, Dapeng Feng, Lei Ye, Chi Zhang, Chaopeng Shen:
Continental-scale streamflow modeling of basins with reservoirs: a demonstration of effectiveness and a delineation of challenges. CoRR abs/2101.04423 (2021) - 2020
- [i2]Wen-Ping Tsai, Ming Pan, Kathryn Lawson
From parameter calibration to parameter learning: Revolutionizing large-scale geoscientific modeling with big data. CoRR abs/2007.15751 (2020) - [i1]Dapeng Feng, Kathryn Lawson
Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling. CoRR abs/2011.13380 (2020)
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