Stephan Hoyer

Google (United States) — United States

Earth and Planetary Sciences · Physical Sciences

31h-index6.6kcitations93works48.32yr avg
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Research Topics

Meteorological Phenomena and Simulations(17), Model Reduction and Neural Networks(15), Spectroscopy and Quantum Chemical Studies(11), Climate variability and models(8), Photosynthetic Processes and Mechanisms(8)

Publications93 total

Neural general circulation models for modeling precipitation
Science Advances·2026Open Access
Unidata/netcdf4-python: version 1.7.4 release
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
ClimateGlobalChange/tempestextremes: v2.4.1
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Accelerating scientific discovery with the common task framework
arXiv (Cornell University)·2025Open Access
4D‐Var Using Hessian Approximation and Backpropagation Applied to Automatically Differentiable Numerical and Machine Learning Models
Journal of Advances in Modeling Earth Systems·2025· 2 citedOpen Access
Neural general circulation models optimized to predict satellite-based precipitation observations
arXiv (Cornell University)·2024· 2 citedOpen Access
Pushing the frontiers in climate modelling and analysis with machine learning
Nature Climate Change·2024· 104 citedOpen Access
4D-Var using Hessian approximation and backpropagation applied to automatically-differentiable numerical and machine learning models
arXiv (Cornell University)·2024· 1 citedOpen Access
Neural general circulation models for weather and climate
Nature·2024· 279 citedOpen Access
WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models
Journal of Advances in Modeling Earth Systems·2024· 139 citedOpen Access
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
arXiv (Cornell University)·2024· 4 citedOpen Access
Learning skillful medium-range global weather forecasting
Science·2023· 952 citedOpen Access
Neural General Circulation Models for Weather and Climate
arXiv (Cornell University)·2023· 24 citedOpen Access
WeatherBench 2: A benchmark for the next generation of data-driven global weather models
arXiv (Cornell University)·2023· 29 citedOpen Access
Toward accelerated data-driven Rayleigh–Bénard convection simulations
The European Physical Journal E·2023· 5 citedOpen Access
Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem
Proceedings of the Python in Science Conferences·2023· 2 citedOpen Access
GraphCast: Learning skillful medium-range global weather forecasting
arXiv (Cornell University)·2022· 169 citedOpen Access
Learning to correct spectral methods for simulating turbulent flows
arXiv (Cornell University)·2022· 15 citedOpen Access
pydata/xarray: v0.20.1
2021· 13 citedOpen Access
SciTools/iris: v3.1.0
2021· 7 citedOpen Access
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Frequent Co-authors

Alistair Miles(12), Michael Waskom(11), Olga Botvinnik(11), Paul Hobson(11), Tom Augspurger(11), Yaroslav O. Halchenko(11), John B. Cole(11), Kyle Meyer(11), Tal Yarkoni(11), Jake Vanderplas(10), E. A. Quintero(10), Clark Fitzgerald(10), Michael P. Brenner(9), Saulius Lukauskas(9), Peter Bachant(9), Matthew J. Martin(9), Constantine Evans(9), Julian de Ruiter(8), Gero Kunter(8), Peter Battaglia(7)