Emily Katherine de Jong profile

Emily Katherine de Jong

Postdoctoral Researcher

PLS / AEED / Atmospheric, Earth, Energy

Email

Biography

Research Interests

  • Machine learning and interpretable data-driven parameterizations
  • Satellite remote sensing of clouds
  • Cloud microphysics
  • High fidelity atmospheric simulations

Education

  • Ph.D. Mechanical Engineering, California Institute of Technology, 2024
  • M.S. Mechanical Engineering, California Institute of Technology, 2021
  • B.S.E. Chemical and Biological Engineering, Princeton University, 2019

Publications

2026 4 publications

  • de Jong, E.,Gunawardena, N., Katona, J., Beydoun, H., Ghosh, D., Caldwell, P. (2026) Data-driven reduced ordering modeling for warm rain microphysics, Journal of Geophysical Research: Machine Learning & Computation3 (3), e2025JH001103,https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2025JH001103
  • de Jong, E.,Smalley, K., Gunawardena, N., Beydoun, H., Caldwell, P. (2026) CERBERUS: A Three-Headed Decoder for Vertical Cloud Profiles, 2026 ICLR Workshop on ML for Remote Sensing,https://arxiv.org/abs/2604.08772
  • Beydoun, H., Ghosh, D., de Jong, E. K., McGuffin, D., Kendrick, C., Lee, J., Gardner, D. J., and Lundquist, K. A. (2026, preprint) Super Droplet Cloud Microphysics in the Energy Research and Forecasting Model, ESS Open Archive, doi: 10.22541/essoar.176858434.43447149/v1
  • de Jong, E., Quon, E., and Zalkind, D. (2026) Idealized Offshore Low-Level Jets for Turbine Structural Impact Considerations, Wind Energy 29 (1), doi: 10.1002/we.70097.

2025 1 publication

  • Katona, J., de Jong, E., and Gunawardena, N. (2025) Uncertainty Quantification for Reduced-Order Surrogate Models Applied to Cloud Microphysics, NeurIPS Workshop on Machine Learning and the Physical Sciences, https://arxiv.org/abs/2511.04534

2024 1 publication

  • de Jong, E., Quon, E., and Yellapantula, S. (2024) Mechanisms of Low-Level Jet Formation in the US Mid-Atlantic Offshore, Journal of Atmospheric Sciences 81 (1), 31-52, doi: 10.1175/JAS-D-23-0079.1

2023 2 publications

  • Azimi, S., Jaruga, A., de Jong, E., Arabas, S. and Schneider, T. (2023) Training warm-rain bulk microphysics schemes using super-droplet simulations, Journal of Advances in Modeling Earth Systems 16 (7), doi: 10.1029/2023MS004028.
  • de Jong, E.,Mackay, J. B., Bulenok, O., Jaurga, A., and Arabas, S. (2023) Breakups are Complicated: An Efficient Representation of Collisional Breakup in the Superdroplet Method, Geoscientific Model Development 4193-4211, doi: 10.5194/gmd-16-4193-2023.

2022 2 publications

  • de Jong, E.,Bischoff, T., Nadim, A., and Schneider, T. (2022) Spanning the Gap from Bulk to Bin: A Novel Spectral Microphysics Method, Journal of Advances in Modeling Earth Systems 14 (11), doi: 10.1029/2022MS003186.
  • Bieli, M., Dunbar, O.R.A., de Jong, E. K., Jaruga, A., Schneider, T., and Bischoff, T. (2022) An Efficient Bayesian Approach to Learning Droplet Collision Kernels: Proof of Concept Using “Cloudy”, a new n-Moment Bulk Microphysics Scheme, Journal of Advances in Modeling Earth Systems 14 (8), doi: 10.1029/2022MS002994.

Other 3 publications

Awards

Emily Katherine de Jong | People