Loading...
The system can't perform the operation now. Try again later.
Citations per year
Duplicate citations
The following articles are merged in Scholar. Their
combined citations
are counted only for the first article.
Merged citations
This "Cited by" count includes citations to the following articles in Scholar. The ones marked
*
may be different from the article in the profile.
Add co-authors
Co-authors
Follow
New articles by this author
New citations to this author
New articles related to this author's research
Email address for updates
Done
My profile
My library
Metrics
Alerts
Settings
Sign in
Sign in
Get my own profile
Follow
Phillip Aarestrup
Industrial PhD
Verified email at dmi.dk -
Homepage
Hydrology
Hydraulics
Climate Change
Scientific Machine Learning
Title
Sort
Sort by citations
Sort by year
Sort by 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
The system can't perform the operation now. Try again later.
Articles 1–5
Show more
Privacy
Terms
Help
About Scholar
Search help