I study the impact of climate change on the large-scale atmospheric circulation and mesoscale atmospheric variability using a combination of theory, modeling and observations.
I am a postdoctoral researcher at Stanford's Doerr School of Sustainability where I am developing machine learning-driven emulators to represent sub-grid scale atmospheric variability in climate models. I am part of the DataWave program, which is an international consortium aimed at improving our understanding and representation of atmospheric gravity waves.
Prior to this, I worked at the Ludwig-Maximilian University of Munich (LMU), in collaboration with the German Aerospace Center (DLR), where I investigated the role of gravity waves in shaping the stratospheric circulation, a.k.a, the Brewer-Dobson circulation.
I received my Ph.D. from the Courant Institute of Mathematical Sciences, New York University, where my research focused on assessing stratosphere-troposphere dynamical coupling & tracer transport in idealized climate models, and implications of model transport biases for projections of the Antarctic ozone hole recovery.
Feel free to contact me about my research. I can be reached at : ag4680 |at| stanford |dot| edu, Aman [dot] Gupta [at] lmu.de, or ag4680 [at] nyu [dot] edu
Figure: Resolution matters! The structure of mountain waves excited over the Andes in August 2019, at 40 km altitude in the stratosphere. The waves as seen in (left) ERA5 reanalysis and (right) free running ECMWF IFS 1.4 km model integrated on Oak Ridge's Summit supercomputer. Click here for more fascinating satellite imagery of atmospheric gravity waves.
CV & Publications
Please refer to my CV and my Google Scholar profile for details.
*PLS: Plain Language Summary
In process
- Coupled Planetary Wave - Gravity Wave Interactions in the Southern Hemisphere Stratosphere as Revealed by ERA5
Aman Gupta, Thomas Birner, Andreas Dörnbrack, Hella Garny, and Roland Eichinger
in prep.
Submitted
- Insights on Lateral Gravity Wave Propagation in the Extratropical Stratosphere from 44 Years of ERA5 Data | GRL
Aman Gupta, Aditi Sheshadri, M. Joan Alexander, and Thomas Birner
2024
- Estimates of Southern Hemispheric Gravity Wave Momentum Fluxes Across Observations, Reanalyses, and Kilometer-scale Numerical Weather Prediction Model | JAS
Aman Gupta, Robert Reichert, Andreas Dörnbrack, Hella Garny, Roland Eichinger, Inna Polichtchouk, Bernd Kaifler, and Thomas Birner
2023
- Updates on model hierarchies for understanding and simulating the climate system: a focus on data-informed methods and climate change impacts | JAMES
Laura A. Mansfield, Aman Gupta, Adam C. Burnett, Brian Green, Catherine Wilka and Aditi Sheshadri
- Estimating the Meridional Extent of Adiabatic Mixing of Stratospheric Trace Gases using Age of Air | JGR: Atmospheres
Aman Gupta, Marianna Linz, Jezabel Curbelo, Olivier Pauluis, Edwin P. Gerber and Douglas Kinnison
2022
- Wave enhanced tracer dispersion: insights from an idealized investigation | JGR: Oceans
Jim Thomas and Aman Gupta
2021
- Stratospheric adiabatic mixing rate derived from the vertical age gradient | JGR: Atmospheres
Marianna Linz, R. Alan Plumb, Aman Gupta and Edwin P. Gerber
- Numerical impacts on tracer transport: Diagnosing the influence of dynamical core formulation and resolution on stratospheric transport | JAS
Aman Gupta, Edwin P. Gerber, R. Alan Plumb and Peter H. Lauritzen
- Importance of Gravity Wave Forcing for Springtime Southern Polar Vortex Breakdown as Revealed by ERA5 | GRL
Aman Gupta, Thomas Birner, Andreas Dörnbrack and Inna Polichtchouk
2020
- Numerical impacts on tracer transport: A proposed intercomparison test of Atmospheric General Circulation Models | QJRMS
Aman Gupta, Edwin P. Gerber and Peter H. Lauritzen
2019
- Imagining Simpler Worlds to Understand the Complexity of Our Own | JAMES
Edwin P. Gerber, Kevin J. DallaSanta and Aman Gupta
Ph.D. Thesis
News & Miscellaneous Links
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In June 2023, I delivered a set of four lectures on "Machine Learning Methods in Atmosphere, Ocean, and Climate Science" at an atmosphere, ocean, and climate science workshop organised at the International Centre for Theoretical Science, TIFR, Bengaluru. These lectures were aimed at introducing undergraduate, graduate and postgraduate researchers to machine learning (ML) methods. If you have wanted to explore the possibilities of ML in your research and would like to start somewhere, I would like to recommend these lectures specially prepared for this. The first lecture discusses the basics of ML, the second and third lectures are hands-on Python tutorials to code neural networks using PyTorch, and the fourth lecture discusses three novel use cases of ML in climate science: data-driven physical parameterizations, equation discovery, and weather forecasting.
[Lecture 1]: Machine Learning Fundamentals
[Lecture 2]: Implementing Artificial Neural Networks in PyTorch | [Jupyter Notebook 1]
[Lecture 3]: Implementing Convolutional Neural Networks in PyTorch | [Jupyter Notebook 2] | [Jupyter Notebooks as HTML]
[Lecture 4]: Machine Learning Applications in Climate Research - Humanity has a plastic problem. Conventional plastic manufacturing is still cheaper, but the greener alternatives, bioplastics in particular, are catching up fast. Here's a video that highlights some really innovative initiatives to manufacture bioplastics from Avocados, Sugarcanes, Mushrooms, and even Algae! Interestingly, the Sugarcane based bioplastic company featured in the video is based quite close to my hometown of Ghaziabad, India.
- NCAR Command Language (NCL) pressure interpolation script. Update : NCL is being pivoted in favor of Python!
- Scientific Writing : A Pulitzer prizewinner novelist’s tips on how to write a great science paper.
- Peer-Review : A nice article discussing a three-step process to efficiently review a scientific paper.
- SSW animations : Interesting (read cool!) Potential Vorticity (PV) evolution animations for past stratospheric sudden warming (SSW) events.
- N2 climatology : Zonal mean Brunt-Vaisala frequency in the southern hemisphere for June, July and August 2018 computed from ERA5 reanalysis. I wanted to check my gravity wave potential energy computations but couldn't find a reliable source online to compare the southern hemisphere climatology for N2. In case you find yourself in a similar situation, your search ends here.
- Linear Algebra Writtens' Workshop: Resources for Fall 2016 Linear Algebra Writtens' Workshop. Click here to view the Math Wiki and solutions to past years' problems.