Paula Harder

Environmental Science · Physical Sciences

6h-index223citations39works5.32yr avg
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Research Topics

Climate variability and models(13), Meteorological Phenomena and Simulations(8), Cryospheric studies and observations(8), Atmospheric and Environmental Gas Dynamics(8), Atmospheric aerosols and clouds(6)

Publications39 total

Reconstructing Carbon Monoxide Reanalysis with Machine Learning
arXiv (Cornell University)·2026Open Access
Reconstructing Carbon Monoxide Reanalysis with Machine Learning
arXiv (Cornell University)·2026Open Access
On Global Applicability and Location Transferability of Generative Deep Learning Models for Precipitation Downscaling
arXiv (Cornell University)·2025Open Access
RainShift: A Benchmark for Precipitation Downscaling Across Geographies
ArXiv.org·2025· 1 citedOpen Access
Global Location Transferability of Generative Deep Learning Models for Precipitation Downscaling
2025Open Access
Climate model downscaling in central Asia: a dynamical and a neural network approach
Geoscientific model development·2025· 6 citedOpen Access
Evaluating the transferability potential of deep learning models for climate downscaling
arXiv (Cornell University)·2024· 1 citedOpen Access
Climate Variable Downscaling with Conditional Normalizing Flows
arXiv (Cornell University)·2024Open Access
Comment on gmd-2023-227
2024Open Access
Enhancing Regional Climate Downscaling through Advances in Machine Learning
Artificial Intelligence for the Earth Systems·2024· 45 citedOpen Access
Multi-Variable Hard Physical Constraints for Climate Model Downscaling
Proceedings of the AAAI Symposium Series·2024· 5 citedOpen Access
Comment on gmd-2023-227
2023Open Access
Climate Model Downscaling in Central Asia: A Dynamical and a Neural Network Approach
2023· 4 citedOpen Access
Multi-variable Hard Physical Constraints for Climate Model Downscaling
arXiv (Cornell University)·2023· 3 citedOpen Access
Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics
IEEE Robotics & Automation Magazine·2023· 2 cited
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling
arXiv (Cornell University)·2023· 6 citedOpen Access
Physics-Constrained Deep Learning for Downscaling
2023· 3 citedOpen Access
Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds
arXiv (Cornell University)·2022· 3 citedOpen Access
Identifying the Causes of Pyrocumulonimbus (PyroCb)
arXiv (Cornell University)·2022· 3 citedOpen Access
PYROCAST
2022
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Frequent Co-authors

Duncan Watson‐Parris(14), David Rolnick(10), Philip Stier(7), Janis Keuper(6), Álex Hernández-García(6), Yuhan Rao(5), Shahine Bouabid(5), Peter Manshausen(5), Dirk Olivié(4), Øyvind Seland(4), Peer Nowack(4), Gustau Camps‐Valls(4), Maura Dewey(4), Emilie Fons(4), Jessenia Gonzalez(4), Kai Jeggle(4), Julien Lenhardt(4), Maria Carolina Novitasari(4), Lucile Ricard(4), Carla Roesch(4)