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Phillip Aarestrup
Phillip Aarestrup
Industrial PhD
Verified email at dmi.dk - Homepage
Title
Cited by
Cited by
Year
A bottom-up approach to identify important hydrological processes by evaluating a national scale EA-LSTM model for Denmark
G Martinsen, N Agertoft, P Aarestrup
EGU24, 2024
2024
Evaluating a+ 100-year storm surge using a real-time distributed flood forecasting system
ED Thomassen, M Butts, S Dhaubanjar, JW Pedersen, S Lerer, M Rav, ...
EGU24, 2024
2024
Flow estimation from observed water levels using differentiable modeling for low-lying rivers affected by vegetation and backwater
P Aarestrup, JW Pedersen, MB Butts, P Bauer-Gottwein, R Löwe
EGU24, 2024
2024
Scientific machine learning for speeding up distributed simulations-examples and failures for urban water systems
R Löwe, M Kjær Adamsen, P Aarestrup, F Bauer, AP Engsig-Karup, ...
EGU General Assembly Conference Abstracts, EGU-5672, 2023
2023
Using weather radar to improve the prediction accuracy of LSTM neural networks for anomaly detection of water level measurements in UDS
P Aarestrup, PS Mikkelsen
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Articles 1–5