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References (31)

[1]
HydroDiffusion: Diffusion-Based Probabilistic Streamflow Forecasting with a State Space Backbone
2025Yihan Wang, Annan Yu et al.
[2]
Fully differentiable, fully distributed rainfall-runoff modeling
2025Fedor Scholz, Manuel Traub et al.
[3]
An update to ECMWF's machine-learned weather forecast model AIFS
2025Gabriel Moldovan, E. Pinnington et al.
[4]
GRDC-Caravan: extending Caravan with data from the Global Runoff Data Centre
2025Claudia Färber, Henning Plessow et al.
[5]
Challenges and opportunities of ML and explainable AI in large-sample hydrology
2025L. Slater, Georgios Blougouras et al.
[6]
RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting
2025Mohamad Hakam Shams Eddin, Yikui Zhang et al.
[7]
Fine Flood Forecasts: Incorporating local data into global models through fine-tuning
2025Emil Ryd, G. Nearing
[8]
Investigating the streamflow simulation capability of a new mass-conserving long short-term memory (MC-LSTM) model across the contiguous United States
2025Yihan Wang, Lujun Zhang et al.
[9]
CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland
2025Basil Kraft, M. Schirmer et al.
[10]
Caravan MultiMet: Extending Caravan with Multiple Weather Nowcasts and Forecasts
2024Guy Shalev, Frederik Kratzert
[11]
Hydra-LSTM: A semi-shared Machine Learning architecture for prediction across Watersheds
2024Karan Ruparell, Robert J. Marks et al.
[12]
HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin
2024Frederik Kratzert, M. Gauch et al.
[13]
Global prediction of extreme floods in ungauged watersheds
2024G. Nearing, Deborah Cohen et al.
[14]
Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS
2024Christel Prudhomme, E. Zsótér et al.
[15]
Improving River Routing Using a Differentiable Muskingum‐Cunge Model and Physics‐Informed Machine Learning
2024Tadd Bindas, Wen‐Ping Tsai et al.
[16]
Caravan - A global community dataset for large-sample hydrology
2023Frederik Kratzert, G. Nearing et al.
[17]
NeuralHydrology - A Python library for Deep Learning research in hydrology
2022Frederik Kratzert, M. Gauch et al.
[18]
Supplementary material to "ERA5-Land: A state-of-the-art global reanalysis dataset for land applications"
2021J. Muñoz‐Sabater, E. Dutra et al.
[19]
A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds
2020R. Arsenault, F. Brissette et al.
[20]
HydroNets: Leveraging River Structure for Hydrologic Modeling
2020Zach Moshe, Asher Metzger et al.

Showing 20 of 31 references

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