Kashinath, Karthik
- 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 · 194 citations
Earth and Planetary Sciences · Engineering · Environmental Science · #Meteorological Phenomena and Simulations #Energy Load and Power Forecasting #Hydrological Forecasting Using AI
- FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators
2022/08/08 by Thorsten Kurth, Shashank Subramanian, Kurth, Thorsten +15 · 62 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
- Idealized Baroclinic Wave Test Results
2023/06/06 by Boris Bonev, Bonev, Boris, Thorsten Kurth +11 · 73 citations
Computer Science · Earth and Planetary Sciences · #Computational Physics and Python Applications #Meteorological Phenomena and Simulations #Neural Networks and Applications
- Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling
2023/09/24 by Morteza Mardani, Mardani, Morteza, Noah Brenowitz +24 · 1 voice · 43 citations
Computer Science · Earth and Planetary Sciences · Environmental Science · Physics and Astronomy · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Cryospheric studies and observations #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #cs.LG #physics.ao-ph
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction
2019/11/20 by Wang, Rui, Kashinath, Karthik, Mustafa, Mustafa +2 · 24 citations
#Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- ACE: A fast, skillful learned global atmospheric model for climate prediction
2023/10/03 by Oliver Watt‐Meyer, Gideon Dresdner, Watt-Meyer, Oliver +21 · 19 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
- Spherical CNNs on Unstructured Grids
2019/01/07 by Chiyu Max Jiang, Jingwei Huang, Jiang, Chiyu "Max" +8 · 11 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
- Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
2024/06/19 by Peter Manshausen, Manshausen, Peter, Yair Cohen +16 · 16 citations
Earth and Planetary Sciences · #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis
- Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
2024/08/20 by Jaideep Pathak, Pathak, Jaideep, Yair Cohen +21 · 1 voice · 10 citations
Computer Science · Decision Sciences · Physics and Astronomy · #Simulation Techniques and Applications #cs.LG #physics.ao-ph
- Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations
2020/09/30 by Jaideep Pathak, Mustafa Mustafa, Pathak, Jaideep +9 · 4 citations
Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Reservoir Engineering and Simulation Methods #Fluid Dynamics and Turbulent Flows
- 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 · 9 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)
- 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 · 8 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
- FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
2025/07/16 by Boris Bonev, Thorsten Kurth, Bonev, Boris +17 · 16 citations
Earth and Planetary Sciences · Environmental Science · #68T07 #86-10 #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #G.3 #Hydrological Forecasting Using AI #I.2.1 #I.6.5 #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Remote Sensing in Agriculture
- 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 · 14 citations
Earth and Planetary Sciences · Environmental Science · #Tropical and Extratropical Cyclones Research #Climate variability and models #Meteorological Phenomena and Simulations
- MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time\n Super-Resolution Framework
2020/05/01 by Chiyu Max Jiang, Soheil Esmaeilzadeh, Jiang, Chiyu Max +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
- Earth Virtualization Engines -- A Technical Perspective
2023/09/16 by Torsten Hoefler, Hoefler, Torsten, Björn Stevens +37 · 2 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Engineering #Computers and Society (cs.CY) #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Physics and Society (physics.soc-ph) #Scientific Computing and Data Management #and Science (cs.CE)
- Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers
2021/03/16 by Ashesh Chattopadhyay, Mustafa Mustafa, Chattopadhyay, Ashesh +7 · 1 citation
Earth and Planetary Sciences · Environmental Science · #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Flood Risk Assessment and Management #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations
- 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