Publications

A Benchmark Dataset for Meteorological Downscaling. Michael Langguth, Paula Harder, Irene Schicker, Ankit Patnala, Sebastian Lehner, Konrad Mayer, Markus Dabernig. . 2024. ICLR Workshop

Enhancing Regional Climate Downscaling through Advances in Machine Learning. Neelesh Rampal, Sanaa Hobeichi, Peter B. Gibson, Jorge Baño-Medina, Gab Abramowitz, Tom Beucler, Jose González-Abad, William Chapman, Paula Harder, José Manuel Gutiérrez. Artificial Intelligence for the Earth Systems (AIES). 2024. AIES

Evaluating the transferability potential of deep learning models for climate downscaling. Ayush Prasad, Paula Harder, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell Watson, David Rolnick. arXiv preprint. 2024. arXiv

Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics. Jose I Delgado-Centeno, Paula Harder, Valentin Bickel, Ben Moseley, Freddie Kalaitzis, Siddha Ganju, Miguel Angel Olivares-Mendez. IEEE Robotics & Automation Magazine. 2024. IEEE

Towards Downscaling Global AOD with Machine Learning. Josh Millar, Paula Harder, Lilli Freischem, Philipp Weiss, Philip Stier. . 2024. ICLR Workshop

Climate model downscaling in central Asia: a dynamical and a neural network approach. Bijan Fallah, Christoph Menz, Emmanuele Russo, Paula Harder, Peter Hoffmann, Iulii Didovets, Fred F. Hattermann. Geoscientific Model Development Discussions. 2023. GMD preprint

Multi-variable hard physical constraints for climate model downscaling. Jose González-Abad, Alex Hernandez-Garcia, Paula Harder, David Rolnick, José Manuel Gutiérrez. arXiv:2308.01868. 2023. arXiv AAAI

Reservoir Computing for Sea Surface Temperature Prediction in Earth System Digital Twins. Paula Harder, Anna Kwa, Andre Perkins, Christopher Stephen Bretherton. . 2023. AGU

Fourier Neural Operators for arbitrary resolution climate data downscaling. Qidong Yang, Alex Hernandez-Garcia, Paula Harder, Venkatesh Ramesh, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick. arXiv:2305.14452. 2023. arXiv ICLR

Hard-constrained deep learning for climate downscaling . Paula Harder, Alex Hernandez-Garcia, Venkatesh Ramesh, Qidong Yang, Prasanna Sattigeri, Daniela Szwarcman, Campbell Watson, David Rolnick. Journal of Machine Learning Research (JMLR). 2023. JMLR arXiv code

Generating physically-consistent high-resolution climate data with hard-constrained neural networks. Paula Harder, Qidong Yang, Venkatesh Ramesh, Prasanna Sattigeri, Alex Hernandez-Garcia, Campbell Watson, Daniela Szwarcman, David Rolnick. AAAI-FS 2022. 2022. NeurIPS Workshop arXiv AAAI code

ClimateBench v1. 0: A benchmark for data‐driven climate projections . Duncan Watson‐Parris, Yuhan Rao, Dirk Olivié, Øyvind Seland, Peer Nowack, Gustau Camps‐Valls, Philip Stier, Shahine Bouabid, Maura Dewey, Emilie Fons, Jessenia Gonzalez, Paula Harder, Kai Jeggle, Julien Lenhardt, Peter Manshausen, Maria Novitasari, Lucile Ricard, Carla Roesch. Journal of Advances in Modeling Earth Systems (JAMES). 2022. JAMES code

Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds. Kenza Tazi, Emiliano Díaz Salas-Porras, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, Nis Meinert. . 2022. NeurIPS Workshop

Physics-informed learning of aerosol microphysics. Paula Harder, Duncan Watson-Parris, Philip Stier, Dominik Strassel, Nicolas R. Gauger, Janis Keuper. Environmental Data Science. 2022. EDS code arXiv

Detecting AutoAttack Perturbations in the Frequency Domain. Peter Lorenz, Paula Harder, Dominik Straßel, Margret Keuper, Janis Keuper. . 2021. ICML arXiv

SpectralDefense: Detecting adversarial attacks on CNNs in the Fourier domain. Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper. 2021 International Joint Conference on Neural Networks (IJCNN). 2021. IEEE arXiv IJCNN code

Error estimates for the Cahn–Hilliard equation with dynamic boundary conditions. Paula Harder, Balázs Kovács. IMA Journal of Numerical Analysis. 2021. IMA arXiv