Concepedia

Author

Jaideep Pathak

University of Maryland, College ParkORCID

Also Known As

Harrington, Peter, J. Pathak, Jaideep Pathak, Pathak, Jaideep

36

Publications

3.2K

Citations

15

H-Index

30

Concepts

All Affiliations

University of Maryland, College ParkNvidia (United States)Lawrence Berkeley National LaboratoryTexas A&M University
JP

About

Jaideep Pathak is an author at University of Maryland, College Park specializing in data science, engineering, and forecasting.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

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2.4K

2

Data Science

9

9

2.4K

3

Computer Science

4

4

1.6K

4

Climate Sciences

2

2

213

5

Geography

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159

Jaideep Pathak

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17

Publications

3.2K

Citations

14

H-Index

YearCitations

Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach

Jaideep Pathak, Brian R. Hunt, Michelle Girvan,

Physical Review Letters

2018

1.2K

Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data

Jaideep Pathak, Zhixin Lu, Brian R. Hunt,

Chaos An Interdisciplinary Journal of Nonlinear Science

2017

591

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Jaideep Pathak, Shashank Subramanian, Peter Harrington,

arXiv (Cornell University)

2022

436

Reservoir observers: Model-free inference of unmeasured variables in chaotic systems

Zhixin Lu, Jaideep Pathak, Brian R. Hunt,

Chaos An Interdisciplinary Journal of Nonlinear Science

2017

336

FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators

Thorsten Kurth, Shashank Subramanian, Peter Harrington,

2023

159

A Machine Learning‐Based Global Atmospheric Forecast Model

Troy Arcomano, Istvan Szunyogh, Jaideep Pathak,

Geophysical Research Letters

2020

155

A Hybrid Approach to Atmospheric Modeling That Combines Machine Learning With a Physics‐Based Numerical Model

Troy Arcomano, Istvan Szunyogh, Alexander Wikner,

Journal of Advances in Modeling Earth Systems

2022

58

Residual corrective diffusion modeling for km-scale atmospheric downscaling

Morteza Mardani, Noah Brenowitz, Yair Cohen,

Communications Earth & Environment

2025

36

Residual Diffusion Modeling for Km-scale Atmospheric Downscaling

Morteza Mardani, Noah Brenowitz, Yair Cohen,

2024

23

FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators

Thorsten Kurth, Shashank Subramanian, Peter Harrington,

arXiv (Cornell University)

2022

22

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