Karthik Kashinath

1. FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
   2022/02/22 by Jaideep Pathak, Shashank Subramanian, Pathak, Jaideep +23 · 3 voices · 144 citations
   Earth and Planetary Sciences · Engineering · Environmental Science · #Meteorological Phenomena and Simulations #Energy Load and Power Forecasting #Hydrological Forecasting Using AI
2. FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators
   2022/08/08 by Thorsten Kurth, Kurth, Thorsten, Shashank Subramanian +15 · 40 citations
   Earth and Planetary Sciences · Environmental Science · #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Performance (cs.PF) #Precipitation Measurement and Analysis #Soil Moisture and Remote Sensing
3. Idealized Baroclinic Wave Test Results
   2023/06/06 by Boris Bonev, Bonev, Boris, Thorsten Kurth +11 · 47 citations
   Computer Science · Earth and Planetary Sciences · #Computational Physics and Python Applications #Meteorological Phenomena and Simulations #Neural Networks and Applications
4. Physics-informed machine learning: case studies for weather and climate modelling
   2021/02/15 by Karthik Kashinath, Mohamed Elhafiz Mustafa, Adrian Albert +18 · 18 citations
   Earth and Planetary Sciences · Environmental Science · Physics and Astronomy · #Climate variability and models #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks
5. ACE: A fast, skillful learned global atmospheric model for climate prediction
   2023/10/03 by Oliver Watt‐Meyer, Gideon Dresdner, Watt-Meyer, Oliver +21 · 12 citations
   Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #FOS: Computer and information sciences #FOS: Physical sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations
6. Spherical CNNs on Unstructured Grids
   2019/01/07 by Chiyu Max Jiang, Jiang, Chiyu "Max", Jingwei Huang +8 · 4 citations
   Computer Science · Environmental Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Remote Sensing and LiDAR Applications
7. Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
   2024/08/20 by Jaideep Pathak, Pathak, Jaideep, Yair Cohen +21 · 1 voice · 5 citations
   Decision Sciences · #Simulation Techniques and Applications #cs.LG #physics.ao-ph
8. Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
   2024/06/19 by Peter Manshausen, Yair Cohen, Manshausen, Peter +16 · 6 citations
   Earth and Planetary Sciences · #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis
9. Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
   2024/08/02 by Ankur Mahesh, William D. Collins, Mahesh, Ankur +26 · 7 citations
   Computer Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
10. Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
    2024/08/06 by Ankur Mahesh, Mahesh, Ankur, William D. Collins +27 · 5 citations
    Earth and Planetary Sciences · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations
11. Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
    2025/05/10 by Noah Brenowitz, Tao Ge, Brenowitz, Noah D. +17 · 11 citations
    Earth and Planetary Sciences · Environmental Science · #Tropical and Extratropical Cyclones Research #Climate variability and models #Meteorological Phenomena and Simulations
12. MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time\n Super-Resolution Framework
    2020/05/01 by Chiyu Max Jiang, Jiang, Chiyu Max, Soheil Esmaeilzadeh +14 · 2 citations
    Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
13. Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations
    2020/09/30 by Jaideep Pathak, Mustafa Mustafa, Pathak, Jaideep +9 · 2 citations
    Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Reservoir Engineering and Simulation Methods #Fluid Dynamics and Turbulent Flows
14. DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in\n Spatiotemporal Systems
    2019/09/25 by Adam Rupe, Rupe, Adam, Nalini Kumar +19 · 1 voice
    Computer Science · Decision Sciences · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #Data Visualization and Analytics #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Performance (cs.PF) #Scientific Computing and Data Management #cs.LG #cs.PF #physics.comp-ph
15. Anomalous Diffusion of Tropical Cyclones Observed in Huge Ensembles of Hindcasts
    2026/07/24 by Abdoul R. Zeba, William D. Collins, Ankur Mahesh +5
    #physics.ao-ph