Publications

Patrick Martin, Jannik Haas, und Wolfgang Nowak. Coordinated Optimization of Water-Energy System Operation. EURO 2024 Conference Handbook and Abstracts, 33rd European Conference on Operational Research (EURO 2024), Copenhagen DK, Juni 2024. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:HaasJannik IWSAUTHOR:MartinPatrick IWSAUTHOR:NowakWolfgang IWSMONTH:06 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2024]

B. Amin, und A. Bàrdossy. Comparative Analysis of Parameter Optimization of Theoretically Consistent IDF Models of Rainfall Intensity. Geophys. Res. Abstr., (EGU23-14215)2023. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:AminBushra IWSMONTH:04 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2023]

B. Amin, A. Bàrdossy, und U. Haberlandt. Uncertainty Quantification of Theoretical Consistent Intensity Duration Frequency (IDF) Curves of Rainfall Intensity. Geophys. Res. Abstr., (EGU24-15926)April 2024. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:AminBushra IWSMONTH:04 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2024]

J. Seidel, T. Einfalt, M. Jessen, Bárdossy A., A. El Hachem, und A. Treis. Using personal weather station data for improving precipitation estimates and gauge adjustment of radar data. Geophys. Res. Abstr., (25, EGU2024-5437)April 2024. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:BardossyAndras IWSAUTHOR:ElHachemAbbas IWSAUTHOR:SeidelJochen IWSMONTH:04 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2024]

Ran Wei. Modeling combined with fieldwork on surface water quality: the sources and fate of mixture effects under unsteady flow. Integrated Hydrosystem Modeling Conference, Tübingen, Germany, Oktober 2021. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:WeiRan IWSMONTH:10 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2021]

Ran Wei. Modeling combined with fieldwork on surface water quality: the sources and fate of mixture effects under unsteady flow. Fall Meeting 2021, New Orleans, LA, USA & online, Dezember 2021. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:WeiRan IWSMONTH:12 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2021]

Tobias KD Weber, Alexander Schade, Robert Rauch, Joachim Ingwersen, Sebastian Gayler, Wolfgang Nowak, Efstathios Diamantopoulos, und Thilo Streck. Bayesian Methods for Parameter Inference, Uncertainty Quantification, Error Modelling, Model Learning and Model Choice in Hydrology. Geophys. Res. Abstr., (25, EGU2024-2300)April 2024. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:NowakWolfgang IWSMONTH:04 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2024]

Maria F. Morales Oreamuno, Sergey Oladyshkin, und Wolfgang Nowak. Error-aware surrogate modelling with input dimension reduction for groundwater modelling in heterogenous media. Geophys. Res. Abstr., (26, EGU24-12586)April 2024. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:MoralesOreamunoMariaFernanda IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSMONTH:04 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2024]

Qian Chen, Marc S. Boxberg, Nino Menzel, Maria F. Morales Oreamuno, Wolfgang Nowak, Sergey Oladyshkin, Florian Wagner, und Julia Kowalski. The site selection data hub: a data-centric approach for integrated simulation workflow management in radioactive waste disposal site selection. Geophys. Res. Abstr., (26, EGU24-12859)April 2024. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:MoralesOreamunoMariaFernanda IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSMONTH:04 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2024]

Ilja Kröker, Elisabeth Nißler, Sergey Oladyshkin, Wolfgang Nowak, und Claus Haslauer. Data-driven surrogate-based Bayesian model calibration for predicting vadose zone temperatures in drinking water supply pipes. Geophys. Res. Abstr., (25, EGU2024-7820)April 2024. [PUMA: 2 HaslauerClaus IWSABT:ls3 IWSAUTHOR: IWSAUTHOR:KroekerIlja IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSMONTH:04 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2024]

Fahad Ejaz, Nils Wildt, Thomas Wöhling, und Wolfgang Nowak. Estimating catchment-wide total groundwater storage via space-time kriging provides calibration data for catchment-scale groundwater balance models. Geophys. Res. Abstr., (25, EGU2024-10521)April 2024. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:EjazFahad IWSAUTHOR:NowakWolfgang IWSAUTHOR:WildtNils IWSMONTH:04 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2024]

Luis O. K. M. Imagiire, Benedikt Mester, Stefan Haun, und Jochen Seidel. Open-Access Precipitation Networks and Machine Learning Algorithms as Tools for Flood Severity Prediction. Lecture Notes in Civil Engineering, 131--142, Springer Singapore, November 2021. [PUMA: 3 IWSABT:ls3 IWSAUTHOR:SeidelJochen IWSMONTH:11 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2021] URL

Patrick Martin, Jannik Haas, und Wolfgang Nowak. Coordinated Optimization of Water Supply Systems with Evolving Energy Systems. Fall Meeting 2023, H31N-07San Francisco, CA, USA, 2023. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:HaasJannik IWSAUTHOR:MartinPatrick IWSAUTHOR:NowakWolfgang IWSMONTH:12 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2023]

N. Wildt, S. Scheurer, W. Nowak, und C. Haslauer. Learning PFAS mechanisms with a FInite Volume Neural Network (FINN). Fall Meeting 2023, San Francisco, CA, USA, Dezember 2023. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:HaslauerClaus IWSAUTHOR:NowakWolfgang IWSAUTHOR:ScheurerStefania IWSAUTHOR:WildtNils IWSMONTH:12 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2023]

T. Bruennette, L. Werneck, M.-A. Keip, und W. Nowak. Random Fracture Models - Towards Statistical Realism and Validation. Fall Meeting 2023, San Francisco, CA, USA, Dezember 2023. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:BruennetteTim IWSAUTHOR:NowakWolfgang IWSMONTH:12 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2023 f]

Gözde Köse, Sergey Oladyshkin, und Wolfgang Nowak. Optimizing Pressure Monitoring in a Water Distribution Network through Bayesian Calibration. 18th Pipeline Technology Conference 2023, EITEP Institute, Berlin, Germany, 2023. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:KoeseGoezde IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSMONTH:05 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2023 from:sscheurer] URL

Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, und Sebastian Otte. Inferring Boundary Conditions in Finite Volume Neural Networks. In Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, und Mehmet Aydin (Hrsg.), International Conference on Artificial Neural Networks and Machine Learning -- ICANN 2022, 538-549, Springer International Publishing, Cham, 2022. [PUMA: 2 EXC2075 IWSABT:ls3 IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSAUTHOR:PraditiaTimothy IWSMONTH:04 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2022 from:ls3 from:timothypraditia peerreviewed pn5]

Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Dan MacKinlay, Francesco Alesiani, Dirk Pflüger, und Mathias Niepert. PDEBench: An Extensive Benchmark for Scientific Machine Learning. 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, 2022. [PUMA: IWSTYPEEN:contribution_to_edited_volumes IWSTYPEDE:Konferenzbeiträge IWSYEAR:2022 IWSTYPENR:3 IWSMONTH:3 from:timothypraditia EXC2075 peerreviewed 2 IWSSUBTYPE:inproceedings pn5 IWSAUTHOR:PraditiaTimothy IWSABT:ls3]

Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, und Martin V Butz. Composing Partial Differential Equations with Physics-Aware Neural Networks. Proceedings of the 39th International Conference on Machine Learning, 10773--10801, Baltimore, USA, 17--23 Jul 2022. [PUMA: 2 IWSABT:ls3 IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSAUTHOR:PraditiaTimothy IWSMONTH:12 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2022]

Timothy Praditia, Sergey Oladyshkin, und Wolfgang Nowak. Finite Volume Neural Networks: a Hybrid Modeling Strategy for Subsurface Contaminant Transport. AGU Fall Meeting 2021, 2021. [PUMA: IWSABT:ls3 IWSAUTHOR:NowakWolfgang IWSAUTHOR:OladyshkinSergey IWSAUTHOR:PraditiaTimothy IWSMONTH:12 IWSSUBTYPE:inproceedings IWSTYPEDE:Konferenzbeiträge IWSTYPEEN:contribution_to_edited_volumes IWSTYPENR:3 IWSYEAR:2021 from:timothypraditia]