Google Scholar profile
Underlined denotes members of our group
Selected Publications
- Missing the butterfly and predicting the past: Features or bugs of accurate AI weather models?
- Analytical and AI-discovered stable, accurate, and generalizable subgrid-scale closure for geophysical turbulencePhysical Review Letters
- Can AI weather models predict out-of-distribution gray swan tropical cyclones?Proceedings of the National Academy of Sciences
- Explaining the physics of transfer learning in data-driven turbulence modelingPNAS Nexus
- FourCastNet: A global data-driven high-resolution weather model using adaptive Fourier neural operators(not peer-reviewed)
Submitted
- Missing the butterfly and predicting the past: Features or bugs of accurate AI weather models?
- Decision-oriented benchmarking to transform AI weather forecast access: Application to the Indian monsoon
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- Eigenanalysis framework for autoregressive neural emulators of multi-scale chaotic dynamics
- Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution
- Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction
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2026
- Analytical and AI-discovered stable, accurate, and generalizable subgrid-scale closure for geophysical turbulencePhysical Review Letters
- Predicting regional gray swans via translocation: AI weather models and Dubai’s unprecedented 2024 rainfalin press at Science Advances
- AI-boosted rare event sampling to characterize extreme weatherPhysical Review Letters
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- Semi-analytical eddy-viscosity and backscattering closures for 2D geophysical turbulencein press at Journal of Fluid Mechanics
- Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulenceMachine Learning: Earth
- Prediction of extreme events in multiscale simulations of geophysical turbulence using reinforcement learningin press at Journal of Computational Science
- Testing the limits of surface QG theory with deep learningJournal of Geophysical Research: Machine Learning and Computation
- The June 2024 middle east compound heatwave: Dynamical drivers and AI-weather forecast models’ evaluationAtmospheric Research
2025
- Can AI weather models predict out-of-distribution gray swan tropical cyclones?Proceedings of the National Academy of Sciences
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- Propagation and Periodicity of Mars’s Northern Annular Mode Modulates the Dust CycleGeophysical Research Letters
2024
- Learning Closed‐Form Equations for Subgrid‐Scale Closures From High‐Fidelity Data: Promises and ChallengesJournal of Advances in Modeling Earth Systems
- Recreating observed convection‐generated gravity waves from weather radar observations via a neural network and a dynamical atmospheric modelJournal of Advances in Modeling Earth Systems
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2023
- Explaining the physics of transfer learning in data-driven turbulence modelingPNAS Nexus
- The Intrinsic 150‐Day Periodicity of the Southern Hemisphere Extratropical Large‐Scale Atmospheric CirculationAGU Advances
- Quantifying 3D gravity wave drag in a library of tropical convection‐permitting simulations for data‐driven parameterizationsJournal of Advances in Modeling Earth Systems
- Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulenceEnvironmental Data Science
2022
- FourCastNet: A global data-driven high-resolution weather model using adaptive Fourier neural operators(not peer-reviewed)
- Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5Geoscientific Model Development
- The Summertime Pacific‐North American Weather Regimes and Their PredictabilityGeophysical Research Letters
2021
- Physics-informed machine learning: case studies for weather and climate modellingPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
- An eddy–zonal flow feedback model for propagating annular modesJournal of the Atmospheric Sciences
- A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcingsJournal of Computational Physics
2020
- Analog forecasting of extreme-causing weather patterns using deep learningJournal of Advances in Modeling Earth Systems
- Effects of climate change on the movement of future landfalling Texas tropical cyclonesNature Communications
- Data-driven predictions of a multiscale Lorenz 96 chaotic system using machine-learning methods: reservoir computing, artificial neural network, and long short-term memory networkNonlinear Processes in Geophysics
- Data‐Driven super‐parameterization using deep learning: Experimentation with multiscale Lorenz 96 systems and transfer learningJournal of Advances in Modeling Earth Systems
- Predicting clustered weather patterns: A test case for applications of convolutional neural networks to spatio-temporal climate dataScientific Reports
- Hurricane risk assessment of petroleum infrastructure in a changing climateFrontiers in Built Environment
2019
- Size of the atmospheric blocking events: Scaling law and response to climate changeGeophysical Research Letters
- Evaluating indices of blocking anticyclones in terms of their linear relations with surface hot extremesGeophysical Research Letters
- A hierarchical classification of adolescent idiopathic scoliosis: Identifying the distinguishing features in 3D spinal deformitiesPLOS ONE
2018
- A Barotropic Mechanism for the Response of Jet Stream Variability to Arctic Amplification and Sea Ice LossJournal of Climate
2017
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- Quantifying the eddy–jet feedback strength of the annular mode in an idealized GCM and rreanalysis dataJournal of the Atmospheric Sciences
- Persistent anomalies of the extratropical Northern Hemisphere wintertime circulation as an initiator of El Niño/Southern Oscillation eventsScientific Reports
2016
- The Linear response function of an idealized atmosphere. Part I: Construction using Green’s functions and ApplicationsJournal of the Atmospheric Sciences
- The Linear response function of an idealized atmosphere. Part II: Implications for the practical use of the Fluctuation–Dissipation Theorem and the role of operator’s nonnormalityJournal of the Atmospheric Sciences
2015
- Blocking variability: Arctic Amplification versus Arctic OscillationGeophysical Research Letters
2014
- Responses of midlatitude blocks and wave amplitude to changes in the meridional temperature gradient in an idealized dry GCMGeophysical Research Letters
2013
- Three-dimensional vortices generated by self-replication in stably stratified rotating shear flowsPhysical Review Letters
2012
- The universal aspect ratio of vortices in rotating stratified flows: theory and simulationJournal of Fluid Mechanics
2009
2008
- Efficient calculation of radiation heat transfer in participating mediaJournal of Thermophysics and Heat Transfer
- Finite-Volume solution of the second-order radiative transfer equation: Accuracy and solution costNumerical Heat Transfer, Part B: Fundamentals