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Caravan - A global community dataset for large-sample hydrology

conference paper presented et EGU2023

Caravan - A global community dataset for large-sample hydrology

artículo científico publicado en 2023

Deep learning rainfall–runoff predictions of extreme events

scientific article published in 2022

Global prediction of extreme floods in ungauged watersheds

artículo científico publicado en 2024

Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E)

In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance

NeuralHydrology — A Python library for Deep Learning research in hydrology

Peeking Inside Hydrologists' Minds: Comparing Human Judgment and Quantitative Metrics of Hydrographs

conference paper presented at EGU23

Technical note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks

The Great Lakes Runoff Intercomparison Project (GRIP-GL)

conference paper presented et EGU2023

The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL)

The persistence of errors: How evaluating models over data partitions relates to a global evaluation

conference paper presented et EGU2023

The proper care and feeding of CAMELS: How limited training data affects streamflow prediction

artículo científico publicado en 2020

Towards flood warnings everywhere - data-driven rainfall-runoff modeling at global scale

conference paper presented et EGU2023

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