Aditi Sheshadri
Assistant Professor of Earth System Science and Center Fellow, by courtesy, at the Woods Institute for the Environment
Web page: https://eddy.stanford.edu/
Bio
I joined Stanford's Earth System Science department as an assistant professor 2018. Prior to this, I was a a Junior Fellow of the Simons Foundation in New York, and a postdoctoral research scientist at Columbia University’s Department of Applied Physics and Applied Math and the Lamont-Doherty Earth Observatory. I got my Ph.D. in Atmospheric Science at MIT's Department of Earth, Atmospheric, and Planetary Sciences, in the Program for Atmospheres, Oceans, and Climate, where I worked with R. Alan Plumb. I’m broadly interested in atmosphere and ocean dynamics, climate variability, and general circulation.
I'm particularly interested in fundamental questions in atmospheric dynamics, which I address using a combination of theory, observations, and both idealized and comprehensive numerical experiments. Current areas of focus include the dynamics, variability, and change of the mid-latitude jets and storm tracks, the stratospheric polar vortex, and atmospheric gravity waves.
Academic Appointments
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Assistant Professor, Earth System Science
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Center Fellow (By courtesy), Stanford Woods Institute for the Environment
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Member, Bio-X
Honors & Awards
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Google scholar award, Google (2023)
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Junior Fellow, Simons Society of Fellows (2015-2017)
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Best student presentation award, AMS conference on the middle atmosphere (2015)
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Lord foundation fellowship, Massachusetts Institute of Technology (2012-2013)
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Dean of Science Fellowship, Massachusetts Institute of Technology (2010-2011)
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J.N. Tata Fellowship, J. N. Tata endowment (2007-2008)
Boards, Advisory Committees, Professional Organizations
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Steering committee member, Stratospheric network for the assessment of predictability (2017 - Present)
Professional Education
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Ph.D., Massachusetts Institute of Technology, Atmospheric Science (2015)
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S. M., Massachusetts Institute of Technology, Aeronautics and Astronautics (2009)
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B. E., R. V. College of Engineering, Mechanical Engineering (2007)
2025-26 Courses
- Climate Models and Data
ESS 171, ESS 271 (Spr) - Scientific Basis of Climate Change
ESS 102, ESS 202 (Win) -
Independent Studies (1)
- Graduate Research
ESS 400 (Aut, Win, Spr)
- Graduate Research
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Prior Year Courses
2024-25 Courses
- Scientific Basis of Climate Change
ESS 102, ESS 202 (Spr)
2023-24 Courses
- Scientific Basis of Climate Change
ESS 102, ESS 202 (Spr)
2022-23 Courses
- Dynamics of the Atmosphere
ESS 348 (Win) - Scientific Basis of Climate Change
ESS 102, ESS 202 (Spr) - Topics in Earth System Science
ESS 301 (Aut, Win, Spr)
- Scientific Basis of Climate Change
All Publications
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Offline Performance of a Nonlocal Deep Learning Parameterization for Climate Model Representation of Atmospheric Gravity Waves
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
2025; 17 (10)
View details for DOI 10.1029/2025MS004977
View details for Web of Science ID 001598640600001
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Unified 0.25-degree gridded infrastructure-critical extreme weather for the United States from 1979 to 2100.
Scientific data
2025; 12 (1): 1544
Abstract
Extreme weather events can severely disrupt critical infrastructure, triggering cascading effects on power, transportation, and essential services. However, standard weather and climate datasets often lack specialized variables necessary for hazard assessments. We present a unified dataset of infrastructure-critical weather and climate variables across the United States at 0.25° resolution, covering daily or sub-daily intervals from 1979 to 2100. The dataset includes temperature, dew point, wind gusts, precipitation partitioned by rain, snow, and freezing rain or ice pellets, lightning, and wildfire metrics. Historical conditions (1979-2023) are synthesized from observations and reanalysis products, while future projections are derived from 14 CMIP6 global climate models (historical, SSP245, and SSP585 experiments). Physically based and data-driven methods are used to estimate variables not directly provided by existing models. By integrating these variables into a single unified dataset, we enable consistent, high-resolution assessments of weather-related infrastructure risks across past and future periods, supporting wide-ranging applications in energy, transportation, water resources, emergency management, and beyond.
View details for DOI 10.1038/s41597-025-05918-5
View details for PubMedID 40940354
View details for PubMedCentralID 5773887
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Connecting Tropical Cyclones, Precursor Disturbances, and the ITCZ in Aquaplanet Simulations
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
2025; 17 (7)
View details for DOI 10.1029/2024MS004868
View details for Web of Science ID 001529670700001
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Machine Learning for Climate Physics and Simulations
ANNUAL REVIEW OF CONDENSED MATTER PHYSICS
2025; 16: 343-365
View details for DOI 10.1146/annurev-conmatphys-043024-114758
View details for Web of Science ID 001441665900017
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Gravity Wave Momentum Fluxes from 1 km Global ECMWF Integrated Forecast System.
Scientific data
2024; 11 (1): 903
Abstract
Progress in understanding the impact of mesoscale variability, including gravity waves (GWs), on atmospheric circulation is often limited by the availability of global fine-resolution observations and simulated data. This study presents momentum fluxes due to atmospheric GWs extracted from four months of an experimental "nature run", integrated at a 1 km resolution (XNR1K) using the Integrated Forecast System (IFS) model. Helmholtz decomposition is used to compute zonal and meridional flux of vertical momentum from ~1.5 petabytes of data; quantities often emulated by climate model parameterization of GWs. The fluxes are validated using ERA5 reanalysis, both during the first week after initialization and over the boreal winter period from November 2018 to February 2019. The agreement between reanalysis and IFS demonstrates its capability to generate reliable flux distributions and capture mesoscale dynamic variability in the atmosphere. The dataset could be valuable in advancing our understanding of GW-planetary wave interactions, GW evolution around atmospheric extremes, and as high-quality training data for machine learning (ML) simulation of GWs.
View details for DOI 10.1038/s41597-024-03699-x
View details for PubMedID 39169007
View details for PubMedCentralID 7471968
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Insights on Lateral Gravity Wave Propagation in the Extratropical Stratosphere From 44 Years of ERA5 Data
GEOPHYSICAL RESEARCH LETTERS
2024; 51 (14)
View details for DOI 10.1029/2024GL108541
View details for Web of Science ID 001269395400001
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Data Imbalance, Uncertainty Quantification, and Transfer Learning in Data-Driven Parameterizations: Lessons From the Emulation of Gravity Wave Momentum Transport in WACCM
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
2024; 16 (7)
View details for DOI 10.1029/2023MS004145
View details for Web of Science ID 001276254900001
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Uncertainty Quantification of a Machine Learning Subgrid-Scale Parameterization for Atmospheric Gravity Waves
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
2024; 16 (7)
View details for DOI 10.1029/2024MS004292
View details for Web of Science ID 001269075700001
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Bayesian History Matching Applied to the Calibration of a Gravity Wave Parameterization
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
2024; 16 (4)
View details for DOI 10.1029/2023MS004163
View details for Web of Science ID 001203530100001
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Gravity Wave Momentum Fluxes Estimated From Project Loon Balloon Data
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
2024; 129 (5)
View details for DOI 10.1029/2023JD039927
View details for Web of Science ID 001180565600001
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Atmospheric Gravity Waves: Processes and Parameterization
JOURNAL OF THE ATMOSPHERIC SCIENCES
2024; 81 (2): 237-262
View details for DOI 10.1175/JAS-D-23-0210.1
View details for Web of Science ID 001153786500002
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Updates on Model Hierarchies for Understanding and Simulating the Climate System: A Focus on Data-Informed Methods and Climate Change Impacts
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
2023; 15 (10)
View details for DOI 10.1029/2023MS003715
View details for Web of Science ID 001085868000001
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Calibration and Uncertainty Quantification of a Gravity Wave Parameterization: A Case Study of the Quasi-Biennial Oscillation in an Intermediate Complexity Climate Model
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
2022; 14 (11)
View details for DOI 10.1029/2022MS003245
View details for Web of Science ID 000888553200001
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Machine Learning Gravity Wave Parameterization Generalizes to Capture the QBO and Response to Increased CO2
GEOPHYSICAL RESEARCH LETTERS
2022; 49 (8)
View details for DOI 10.1029/2022GL098174
View details for Web of Science ID 000783197300001
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Midlatitude Error Growth in Atmospheric GCMs: The Role of Eddy Growth Rate
GEOPHYSICAL RESEARCH LETTERS
2021; 48 (23)
View details for DOI 10.1029/2021GL096126
View details for Web of Science ID 000730019700003
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The Atlantic Jet Response to Stratospheric Events: A Regime Perspective
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
2021; 126 (7)
View details for DOI 10.1029/2020JD033358
View details for Web of Science ID 000640969000003
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Tropical cyclone frequency under varying SSTs in aquaplanet simulations
Geophysical Research Letters
2021
View details for DOI 10.1029/2020GL091980
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Seasonal and Latitudinal Variability of the Gravity Wave Spectrum in the Lower Stratosphere
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
2020; 125 (18)
View details for DOI 10.1029/2020JD032850
View details for Web of Science ID 000576404200017
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The role of wave-wave interactions in sudden stratospheric warming formation
Weather and Climate Dynamics
2020; 1: 93-109
View details for DOI 10.5194/wcd-1-93-2020
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Frequency-dependent behavior of zonal jet variability
Geophysical research letters
2020; 47: 1-8
View details for DOI 10.1029/2019GL086585
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The Importance of Greenland in Setting the Northern Preferred Position of the North Atlantic Eddy-Driven Jet
GEOPHYSICAL RESEARCH LETTERS
2019
View details for DOI 10.1029/2019GL084780
View details for Web of Science ID 000500766500001
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Model Hierarchies for Understanding Atmospheric Circulation
REVIEWS OF GEOPHYSICS
2019; 57 (2): 250–80
View details for DOI 10.1029/2018RG000607
View details for Web of Science ID 000477616400002
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Orography and the Boreal Winter Stratosphere: the Importance of the Mongolian mountains
Geopysical Research Letters
2018
View details for DOI 10.1002/2018GL077098
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Sudden stratospheric warming formation in an idealized General Circulation Model using three types of tropospheric forcing
Journal of Geophysical research: Atmospheres
2018; 123
View details for DOI 10.1029/2018JD028537
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The vertical structure of annular modes
Journal of the Atmospheric Sciences
2018; 75: 3507-3519
View details for DOI 10.1175/JAS-D-17-0399.1
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Propagating Annular Modes: Empirical Orthogonal Functions, Principal Oscillation Patterns, and Time Scales
JOURNAL OF THE ATMOSPHERIC SCIENCES
2017; 74 (5): 1345-1361
View details for DOI 10.1175/JAS-D-16-0291.1
View details for Web of Science ID 000400730900001
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A perspective on climate model hierarchies
Journal of Advances in Modeling Earth Systems
2017; 9 (4): 1760-1771
View details for DOI 10.1002/2017MS001038
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Observed Changes in the Southern Hemispheric Circulation in May
JOURNAL OF CLIMATE
2017; 30 (2): 527-536
View details for DOI 10.1175/JCLI-D-16-0394.1
View details for Web of Science ID 000391856300006
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The Relationship between Age of Air and the Diabatic Circulation of the Stratosphere
JOURNAL OF THE ATMOSPHERIC SCIENCES
2016; 73 (11): 4507-4518
View details for DOI 10.1175/JAS-D-16-0125.1
View details for Web of Science ID 000386007800014
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Sensitivity of the surface responses of an idealized AGCM to the timing of imposed ozone depletion-like polar stratospheric cooling
GEOPHYSICAL RESEARCH LETTERS
2016; 43 (5): 2330-2336
View details for DOI 10.1002/2016GL067964
View details for Web of Science ID 000373109800067
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Seasonal Variability of the Polar Stratospheric Vortex in an Idealized AGCM with Varying Tropospheric Wave Forcing
JOURNAL OF THE ATMOSPHERIC SCIENCES
2015; 72 (6): 2248-2266
View details for DOI 10.1175/JAS-D-14-0191.1
View details for Web of Science ID 000355108500004
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Can the Delay in Antarctic Polar Vortex Breakup Explain Recent Trends in Surface Westerlies
JOURNAL OF THE ATMOSPHERIC SCIENCES
2014; 71 (2): 566-573
View details for DOI 10.1175/JAS-D-12-0343.1
View details for Web of Science ID 000335491400007
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Modeling Traveling Waves using Mode Superposition
PROCEEDINGS OF THE ASME 29TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2010, VOL 1
2010: 521-527
View details for Web of Science ID 000290548800059
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AN EXPERIMENTAL EVALUATION OF VORTEX-INDUCED VIBRATION OF A RISER BUNDLE WITH GAPS
OMAE 2009, VOL 5
2009: 695-705
View details for Web of Science ID 000282991700074