Yair Cohen

Nvidia (United States) — United States

Earth and Planetary Sciences · Physical Sciences

11h-index508citations57works6.32yr avg
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Research Topics

Meteorological Phenomena and Simulations(23), Climate variability and models(18), Oceanographic and Atmospheric Processes(9), Ocean Waves and Remote Sensing(9), Tropical and Extratropical Cyclones Research(7)

Publications57 total

Kilometer-scale convection-allowing model emulation using generative diffusion modeling
Science Advances·2026Open Access
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
Journal of Advances in Modeling Earth Systems·2025· 5 citedOpen Access
Huge ensembles – Part 1: Design of ensemble weather forecasts using spherical Fourier neural operators
Geoscientific model development·2025· 4 citedOpen Access
Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators
Geoscientific model development·2025· 3 citedOpen Access
A Practical Probabilistic Benchmark for AI Weather Models
Geophysical Research Letters·2025· 14 citedOpen Access
Diffusion Model Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
2025· 9 citedOpen Access
Residual corrective diffusion modeling for km-scale atmospheric downscaling
Communications Earth & Environment·2025· 36 citedOpen Access
Online Learning of Entrainment Closures in a Hybrid Machine Learning Parameterization
Journal of Advances in Modeling Earth Systems·2024· 7 citedOpen Access
Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts
arXiv (Cornell University)·2024· 1 citedOpen Access
Stochastic Flow Matching for Resolving Small-Scale Physics
arXiv (Cornell University)·2024Open Access
White dwarf eccentricity fluctuation and dissipation by AGB convection
Monthly Notices of the Royal Astronomical Society·2024· 2 citedOpen Access
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
arXiv (Cornell University)·2024· 6 citedOpen Access
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
arXiv (Cornell University)·2024· 3 citedOpen Access
Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
arXiv (Cornell University)·2024· 3 citedOpen Access
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
arXiv (Cornell University)·2024· 4 citedOpen Access
Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model
arXiv (Cornell University)·2024· 11 citedOpen Access
Online Learning of Entrainment Closures in a Hybrid Machine Learning Parameterization
2024Open Access
White dwarf eccentricity fluctuation and dissipation by AGB convection
arXiv (Cornell University)·2024Open Access
DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations
arXiv (Cornell University)·2024Open Access
Huge Ensembles of Weather Extremes using the Fourier Forecasting Neural Network
2024· 2 citedOpen Access
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Frequent Co-authors

Noah Brenowitz(16), Tapio Schneider(12), Ignacio Lopez‐Gomez(12), Karthik Kashinath(12), Jaideep Pathak(10), Michael S. Pritchard(10), Peter Harrington(9), Boris Bonev(8), Thorsten Kurth(8), Nathan Paldor(8), Anna Jaruga(7), Morteza Mardani(7), Ankur Mahesh(7), Jia He(6), Mike Pritchard(6), Dale R. Durran(6), Costa Christopoulos(5), Oliver R. A. Dunbar(5), Arash Vahdat(5), Piyush Garg(5)