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Investigating the Model Hypothesis Space: Benchmarking Automatic Model Structure Identification With a Large Model Ensemble

Spieler, D. & Schütze, N., Jul 2024, In: Water Resources Research. 60, 7, e2023WR036199.

Research output: Contribution to journalResearch articleContributedpeer-review

Assessing crop yield and water balance in crop rotation irrigation systems: Exploring sensitivity to soil hydraulic characteristics and initial moisture conditions in the North China Plain

Fan, X. (First author) & Schütze, N. (Last author), 8 Jun 2024, In: Agricultural Water Management. 300 (2024), 20 p., 108897.

Research output: Contribution to journalResearch articleContributedpeer-review

Flood Forecasting with Deep Learning LSTM-Networks: Relevance of Catchment Attributes in Regional Network Training

Morgenstern, T., Grundmann, J. & Schütze, N., 11 Mar 2024, p. EGU24-17807.

Research output: Contribution to conferencesAbstractContributed

Quality Assurance in Conceptual Hydrologic Models: Developing functional validation tests for ensuring model quality and robustness

Bucher, F., Hauffe, C., Spieler, D. & Schuetze, N., 8 Mar 2024.

Research output: Contribution to conferencesPosterContributed

How can we improve the correctness and plausibility of our hydrological models?

Hauffe, C., Spieler, D., Brandes, C., Pahner, S. & Schütze, N., Feb 2024.

Research output: Contribution to conferencesPosterContributed