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K. Kashinath · SciRah

Researcher profile · Semantic Scholar

K. Kashinath

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K. Kashinath — researcher profile on SciRah

h-index: 34
Works: 120
Citations: 6,819

Most-cited papers

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
Jaideep Pathak, Shashank Subramanian, Peter Harrington, S. Raja +9 more
2022arXiv.org1,398 citations
Semantic Scholar
Physics-informed machine learning: case studies for weather and climate modelling
K. Kashinath, M. Mustafa, A. Albert, J.-L. Wu +17 more
2021Philosophical Transactions of the Royal Society A710 citations Open access
Semantic Scholar
FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators
T. Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak +5 more
2022Platform for Advanced Scientific Computing Conference475 citations Open access
Semantic Scholar
Towards Physics-informed Deep Learning for Turbulent Flow Prediction
Rui Wang, K. Kashinath, M. Mustafa, A. Albert +1 more
2019Knowledge Discovery and Data Mining462 citations Open access
Semantic Scholar
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
B. Bonev, T. Kurth, Christian Hundt, Jaideep Pathak +3 more
2023International Conference on Machine Learning381 citations Open access
Semantic Scholar
Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design
C. Shields, J. Rutz, L. Leung, F. Ralph +32 more
2018Geoscientific Model Development334 citations Open access
Semantic Scholar
The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying Uncertainties in Atmospheric River Climatology
J. Rutz, C. Shields, J. Lora, A. Payne +33 more
2019Journal of Geophysical Research - Atmospheres237 citations Open access
Semantic Scholar
Residual corrective diffusion modeling for km-scale atmospheric downscaling
Morteza Mardani, Noah D. Brenowitz, Y. Cohen, Jaideep Pathak +9 more
2023Communications Earth & Environment232 citations Open access
Semantic Scholar
Spherical CNNs on Unstructured Grids
C. Jiang, Jingwei Huang, K. Kashinath, Prabhat +2 more
2019International Conference on Learning Representations212 citations
Semantic Scholar
MESHFREEFLOWNET: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
C. Jiang, S. Esmaeilzadeh, K. Azizzadenesheli, K. Kashinath +5 more
2020International Conference for High Performance Computing, Networking, Storage and Analysis174 citations Open access
Semantic Scholar
Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems
Jin-Long Wu, K. Kashinath, A. Albert, D. Chirila +2 more
2019Journal of Computational Physics151 citations Open access
Semantic Scholar
ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather
Prabhat, K. Kashinath, Mayur Mudigonda, Sol Kim +19 more
2020Geoscientific Model Development133 citations Open access
Semantic Scholar
ACE: A fast, skillful learned global atmospheric model for climate prediction
Oliver Watt‐Meyer, G. Dresdner, J. McGibbon, Spencer K. Clark +8 more
2023arXiv.org113 citations Open access
Semantic Scholar
Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events
Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon +3 more
2019IEEE Workshop/Winter Conference on Applications of Computer Vision105 citations Open access
Semantic Scholar
Open-loop control of periodic thermoacoustic oscillations: Experiments and low-order modelling in a synchronization framework
Yu Guan, Vikrant Gupta, K. Kashinath, Larry K. B. Li
2019Proceedings of the Combustion Institute91 citations
Semantic Scholar
Forced synchronization of periodic and aperiodic thermoacoustic oscillations: lock-in, bifurcations and open-loop control
K. Kashinath, Larry K. B. Li, M. Juniper
2018Journal of Fluid Mechanics81 citations Open access
Semantic Scholar
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
B. Bonev, Thorsten Kurth, A. Mahesh, M. Bisson +6 more
2025arXiv.org80 citations
Semantic Scholar
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
Sungduk Yu, W. Hannah, L. Peng, Jerry Lin +52 more
2023Neural Information Processing Systems76 citations
Semantic Scholar
Topological data analysis and machine learning for recognizing atmospheric river patterns in large climate datasets
G. Muszynski, K. Kashinath, V. Kurlin, M. Wehner +1 more
2019Geoscientific Model Development71 citations Open access
Semantic Scholar
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
P. Manshausen, Y. Cohen, Peter Harrington, Jaideep Pathak +6 more
2024Journal of Advances in Modeling Earth Systems60 citations Open access
Semantic Scholar
Kilometer-scale convection-allowing model emulation using generative diffusion modeling
Jaideep Pathak, Y. Cohen, P. Garg, Peter Harrington +7 more
2024Science Advances56 citations Open access
Semantic Scholar
Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Noah D. Brenowitz, Tao Ge, Akshay Subramaniam, P. Manshausen +6 more
202554 citations
Semantic Scholar
Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations
Jaideep Pathak, M. Mustafa, K. Kashinath, Emmanuel Motheau +2 more
2020arXiv.org52 citations
Semantic Scholar
Segmenting and Tracking Extreme Climate Events using Neural Networks
Mayur Mudigonda, Sookyung Kim, A. Mahesh, Samira Ebrahimi Kahou +5 more
201747 citations
Semantic Scholar
Earth Virtualization Engines (EVE)
B. Stevens, Stefan Adami, Tariq Ali, H. Anzt +132 more
2024Earth System Science Data44 citations Open access
Semantic Scholar
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers
A. Chattopadhyay, Mustafa A. Mustafa, P. Hassanzadeh, Eviatar Bach +1 more
2021arXiv.org42 citations Open access
Semantic Scholar
Enforcing Physical Constraints in CNNs through Differentiable PDE Layer
C. Jiang, K. Kashinath, Prabhat, P. Marcus
2020International Conference on Learning Representations42 citations
Semantic Scholar
Detection Uncertainty Matters for Understanding Atmospheric Rivers
T. O'Brien, A. Payne, C. Shields, J. Rutz +26 more
2019Bulletin of The American Meteorological Society - (BAMS)36 citations Open access
Semantic Scholar
Deep spatial transformers for autoregressive data-driven forecasting of geophysical turbulence
A. Chattopadhyay, M. Mustafa, P. Hassanzadeh, K. Kashinath
2020International Conference on Climate Informatics35 citations Open access
Semantic Scholar
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
A. Mahesh, William D. Collins, B. Bonev, Noah D. Brenowitz +12 more
2024arXiv.org32 citations
Semantic Scholar
Huge ensembles – Part 1: Design of ensemble weather forecasts using spherical Fourier neural operators
A. Mahesh, W. Collins, B. Bonev, Noah D. Brenowitz +12 more
2025Geoscientific Model Development29 citations Open access
Semantic Scholar
Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
A. Mahesh, William D. Collins, B. Bonev, Noah D. Brenowitz +11 more
2024arXiv.org25 citations
Semantic Scholar
Testing the Reliability of Interpretable Neural Networks in Geoscience Using the Madden-Julian Oscillation
B. Toms, K. Kashinath, D. Yang
201924 citations Open access
Semantic Scholar
Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators
A. Mahesh, W. Collins, B. Bonev, Noah D. Brenowitz +11 more
2025Geoscientific Model Development21 citations Open access
Semantic Scholar
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems
Adam Rupe, Prabhat, J. Crutchfield, Nalini Kumar +7 more
2019Workshop on Machine Learning in High Performance Computing Environments20 citations Open access
Semantic Scholar
Application of the AI2 Climate Emulator to E3SMv2's Global Atmosphere Model, With a Focus on Precipitation Fidelity
James P. C. Duncan, E. Wu, J. Golaz, P. Caldwell +8 more
2024Journal of Geophysical Research19 citations Open access
Semantic Scholar
Deep Learning for Scientific Inference from Geophysical Data: The Madden-Julian Oscillation as a Test Case
B. Toms, K. Kashinath, Prabhat, D. Yang
201919 citations
Semantic Scholar
Using Deep Learning for an Analysis of Atmospheric Rivers in a High‐Resolution Large Ensemble Climate Data Set
Timothy B. Higgins, A. Subramanian, Andre Graubner, Lukas Kapp-Schwoerer +6 more
2023Journal of Advances in Modeling Earth Systems16 citations Open access
Semantic Scholar
HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts
Aayush Gupta, Akshay Subramaniam, Michael S. Pritchard, K. Kashinath +7 more
202611 citations
Semantic Scholar
Deep Learning for Detecting Extreme Weather Patterns
Mayur Mudigonda, Prabhat Ram, K. Kashinath, Evan Racah, A. Mahesh +13 more
2021Deep Learning for the Earth Sciences10 citations
Semantic Scholar
Earth Virtualization Engines - A Technical Perspective
T. Hoefler, B. Stevens, A. Prein, Johanna Baehr +16 more
2023arXiv.org8 citations Open access
Semantic Scholar
Deep Learning for Extreme Weather Detection
M. Prabhat, Evan Racah, J. Biard, Y. Liu +10 more
20178 citations
Semantic Scholar
Testing the reliability of interpretable neural networks in geoscience using the Madden–Julian oscillation
B. Toms, K. Kashinath, D. Yang
2021Geoscientific Model Development6 citations Open access
Semantic Scholar
Physics-informed Spatio-temporal Deep Learning Models
K. Kashinath, A. Albert, Rui Wang, M. Mustafa +1 more
20196 citations
Semantic Scholar
Physics-Informed Generative Learning to Emulate Unresolved Physics in Climate Models
Jin-Long Wu, K. Kashinath, A. Albert, M. Prabhat +1 more
20186 citations
Semantic Scholar
A large-scale dataset for training deep learning segmentation and tracking of extreme weather
Sol Kim, Andre Graubner, Lukas Kapp-Schwoerer, K. Kashinath +1 more
2025Scientific Data5 citations Open access
Semantic Scholar
DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting
Tao Ge, Jaideep Pathak, Akshay Subramaniam, K. Kashinath
2022arXiv.org5 citations Open access
Semantic Scholar
Enforcing Physical Constraints in Neural Neural Networks through Differentiable PDE Layer
C. Jiang, K. Kashinath, Prabhat, P. Marcus
20195 citations
Semantic Scholar
Assessing Uncertainty in Deep Learning Techniques that Identify Atmospheric Rivers in Climate Simulations
A. Mahesh, Mayur Mudigonda, Sookyung Kim, K. Kashinath +8 more
20175 citations
Semantic Scholar
Towards accurate extreme event likelihoods from diffusion model climate emulators
P. Manshausen, Noah D. Brenowitz, Julius Berner, K. Kashinath +1 more
2026arXiv.org3 citations
Semantic Scholar

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