Found: 9
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Post‐Processing the National Water Model with Long Short‐Term Memory Networks for Streamflow Predictions and Model Diagnostics.
- Published in:
- Journal of the American Water Resources Association, 2021, v. 57, n. 6, p. 885, doi. 10.1111/1752-1688.12964
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- Article
Technical Note: Data assimilation and autoregression for using near-real-time streamflow observations in long short- term memory networks.
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- Hydrology & Earth System Sciences Discussions, 2021, p. 1, doi. 10.5194/hess-2021-515
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- Article
Deep learning rainfall-runoff predictions of extreme events.
- Published in:
- Hydrology & Earth System Sciences Discussions, 2021, p. 1, doi. 10.5194/hess-2021-423
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- Article
Hierarchical Fractional Advection-Dispersion Equation (FADE) to Quantify Anomalous Transport in River Corridor over a Broad Spectrum of Scales: Theory and Applications.
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- Mathematics (2227-7390), 2021, v. 9, n. 7, p. 790, doi. 10.3390/math9070790
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- Article
Technical note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks.
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- Hydrology & Earth System Sciences, 2022, v. 26, n. 21, p. 5493, doi. 10.5194/hess-26-5493-2022
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- Article
Deep learning rainfall–runoff predictions of extreme events.
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- Hydrology & Earth System Sciences, 2022, v. 26, n. 13, p. 3377, doi. 10.5194/hess-26-3377-2022
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- Article
Rapid Inundation Mapping Using the US National Water Model, Satellite Observations, and a Convolutional Neural Network.
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- Geophysical Research Letters, 2024, v. 51, n. 17, p. 1, doi. 10.1029/2024GL109424
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- Article
On strictly enforced mass conservation constraints for modelling the Rainfall‐Runoff process.
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- Hydrological Processes, 2023, v. 37, n. 3, p. 1, doi. 10.1002/hyp.14847
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- Article
What Role Does Hydrological Science Play in the Age of Machine Learning?
- Published in:
- Water Resources Research, 2021, v. 57, n. 3, p. 1, doi. 10.1029/2020WR028091
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- Article