Jaideep Pathak

Nvidia (United States) — United States

Earth and Planetary Sciences · Physical Sciences

15h-index3.2kcitations36works11.02yr avg
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Research Topics

Meteorological Phenomena and Simulations(21), Climate variability and models(12), Neural Networks and Reservoir Computing(11), Neural Networks and Applications(9), Model Reduction and Neural Networks(9)

Publications36 total

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
Heavy-Tailed Diffusion Models
arXiv (Cornell University)·2024· 2 citedOpen Access
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
arXiv (Cornell University)·2024· 6 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
DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations
arXiv (Cornell University)·2024Open Access
A Practical Probabilistic Benchmark for AI Weather Models
arXiv (Cornell University)·2024· 5 citedOpen Access
Residual Diffusion Modeling for Km-scale Atmospheric Downscaling
2024· 23 citedOpen Access
Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling
arXiv (Cornell University)·2023· 16 citedOpen Access
FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators
2023· 159 citedOpen Access
Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence
Environmental Data Science·2023· 5 citedOpen Access
DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting
arXiv (Cornell University)·2022Open Access
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators
arXiv (Cornell University)·2022· 22 citedOpen Access
Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence
arXiv (Cornell University)·2022Open Access
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
arXiv (Cornell University)·2022· 437 citedOpen Access
A Hybrid Approach to Atmospheric Modeling That Combines Machine Learning With a Physics‐Based Numerical Model
Journal of Advances in Modeling Earth Systems·2022· 58 citedOpen Access
Α Hybrid Approach to Atmospheric Modeling that Combines Machine Learning with a Physics-Based Numerical Model
2021· 3 citedOpen Access
Α Hybrid Approach to Atmospheric Modeling that Combines Machine Learning with a Physics-Based Numerical Model
2021· 9 citedOpen Access
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Frequent Co-authors

Edward Ott(15), Brian R. Hunt(14), Karthik Kashinath(13), Morteza Mardani(10), Noah Brenowitz(10), Yair Cohen(10), Thorsten Kurth(9), Michelle Girvan(7), Troy Arcomano(7), Istvan Szunyogh(7), Alexander Wikner(7), Peter Harrington(6), Mike Pritchard(6), Arash Vahdat(5), Dale R. Durran(5), Michael S. Pritchard(5), Zhixin Lu(4), Piyush Garg(4), Shashank Subramanian(3), Ashesh Chattopadhyay(3)