Peer Nowack

According to our database, Peer Nowack authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Emulating the Forced Response of Climate Models with Flow Matching.

Graham Clyne, Julia Kaltenborn, Peer Nowack, Claire Monteleoni, Anastase Alexandre Charantonis

CoRR, May, 2026

Spatiotemporal Detection and Uncertainty Visualization of Atmospheric Blocking Events.

Mingzhe Li, Peer Nowack, Bei Wang

CoRR, January, 2026

2025

mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations.

Yiling Ma, Nathan Luke Abraham, Stefan Versick, Roland Ruhnke, Andrea Schneidereit, Ulrike Niemeier, Felix Back, Peter Braesicke, Peer Nowack

CoRR, September, 2025

Causal Climate Emulation with Bayesian Filtering.

Sebastian Hickman, Ilija Trajkovic, Julia Kaltenborn, Francis Pelletier, Alex Archibald, Yaniv Gurwicz, Peer Nowack, David Rolnick, Julien Boussard

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Causal Representation Learning in Temporal Data via Single-Parent Decoding.

Philippe Brouillard, Sébastien Lachapelle, Julia Kaltenborn, Yaniv Gurwicz, Dhanya Sridhar, Alexandre Drouin, Peer Nowack, Jakob Runge, David Rolnick

CoRR, 2024

2023

Towards Causal Representations of Climate Model Data.

Julien Boussard, Chandni Nagda, Julia Kaltenborn, Charlotte Emilie Elektra Lange, Philippe Brouillard, Yaniv Gurwicz, Peer Nowack, David Rolnick

CoRR, 2023

ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning.

Julia Kaltenborn, Charlotte E. E. Lange, Venkatesh Ramesh, Philippe Brouillard, Yaniv Gurwicz, Chandni Nagda, Jakob Runge, Peer Nowack, David Rolnick

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023