CloudMicrophysics.jl
A library of cloud microphysics and aerosol parameterizations
Posts by Collection
portfolio
Cloudy.jl
A flexible moment-based method for cloud microphysics
PySDM
Pythonic Implementation of the Superdroplet Method
publications
Properties of fusion-relevant liquid Li-Sn alloys: An ab initio molecular-dynamics study
Nuclear Materials and Energy, 2018
-->This work explores material properties of a promising liquid metal alloy as a plasma-facing component using DFT.
Recommended citation: B. G. del Rio, E. K. de Jong, and E. A. Carter (2019). "Properties of fusion-relevant liquid Li-Sn alloys: An ab initio molecular-dynamics study." Nuclear Materials and Energy. 18(326-330). https://scholar.google.com/citations?view_op=view_citation&hl=en&user=GlyGmh8AAAAJ&sortby=pubdate&authuser=1&citation_for_view=GlyGmh8AAAAJ:u5HHmVD_uO8C
Modeling Clogging and Erosion in porous media
Princeton University Undergraduate Senior Theses, 2019
-->My undergraduate senior thesis presents a model for the structure of a porous medium solved simultaneously with a concentration of colloids flowing through the medium.
Recommended citation: de Jong, E. (2019) Modeling Clogging and Erosion in Porous Media. Princeton Undergraduate Senior Thesis. http://arks.princeton.edu/ark:/88435/dsp01fj236492z
Transport of polymer colloids in porous media
Royal Society of Chemistry, 2019
-->This textbook chapter covers the governing equations and physics of small particles traveling through porous media, including computational techniques.
Recommended citation: Bizmark, N., Schneider, J., de Jong, E. K., & Datta, S. S. (2020). Transport of polymer colloids in porous media. In R. D. Priestley, & R. K. Prud`homme (Eds.), Polymer Colloids: Formation, Characterization and Applications (9 ed., pp. 289-321). (RSC Soft Matter; Vol. 2020-January, No. 9). Royal Society of Chemistry.
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, 2022
-->This paper demonstrates how to apply Ensemble Kalman in a learning pipeline to discover the parameters of a coalescence kernel for warm rain microphysics.
Recommended citation: Bieli, M., Dunbar, O. R. A., de Jong, E. K., Jaruga, A., Schneider, T., & 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, e2022MS002994. https://doi.org/10.1029/2022MS002994 http://edejong-caltech.github.io/files/2022-cloudy.pdf
Spanning the gap from bulk to bin: A novel spectral microphysics method
Journal of Advances in Modeling Earth Systems, 2022
-->This paper presents a novel numerical method for tracking a droplet size distribution under collisional coalescence that aims to balance accuracy and complexity.
Recommended citation: de Jong, E. K., Bischoff, T., Nadim, A., & Schneider, T. (2022). Spanning the gap from bulk to bin: A novel spectral microphysics method. Journal of Advances in Modeling Earth Systems, 14, e2022MS003186. https://doi.org/10.1029/2022MS003186 http://edejong-caltech.github.io/files/2022-collocation.pdf
Breakups are Complicated: An Efficient Representation of Collisional Breakup in the Superdroplet Method
Geoscientific Model Development, 2023
-->This work presents a method for representing collisional breakup in the Lagrangian superdroplet method, as well as sensitivity studies investigating the impact of breakup on idealized clouds.
Recommended citation: de Jong, E., Mackay, J. B., Bulenok, O., Jaruga, A., and Arabas, S.: Breakups are complicated: an efficient representation of collisional breakup in the superdroplet method, Geosci. Model Dev., 16, 4193–4211, https://doi.org/10.5194/gmd-16-4193-2023, 2023. http://edejong-caltech.github.io/files/2023-breakup.pdf
New developments in PySDM and PySDM-examples v2: collisional breakup, immersion freezing, dry aerosol initialization, and adaptive time-stepping
Journal of Open Source Software, 2023
-->This overview paper describes updates in the second release of PySDM, a scientific software that implements the superdroplet method.
Recommended citation: de Jong et al. (2023). New developments in PySDM and PySDM-examples v2: collisional breakup, immersion freezing, dry aerosol initialization, and adaptive time-stepping. Journal of Open Source Software, 8(84), 4968. https://doi.org/10.21105/joss.04968. http://edejong-caltech.github.io/files/2023-joss.pdf
Training warm-rain bulk microphysics schemes using super-droplet simulations
Submitted to Journal of Advances in Modeling Earth Systems, 2023
-->This work presents a calibration pipeline for learning the parameters of a bulk microphysics method with Ensemble Kalman methods.
Recommended citation: S. Azimi, A. Jaruga, E. de Jong, S. Arabas, T. Schneider (submitted). Training warm-rain bulk microphysics schemes using super-droplet simulations. http://edejong-caltech.github.io/files/2023-sajjad.pdf
Mechanisms of Low-Level Jet Formation in the U.S. Mid-Atlantic Offshore
Submitted to Journal of the Atmospheric Sciences, 2023
-->This research identifies the dominant timescales and atmospheric mechanisms behind low-level maximum in the wind speed over the New York Bight.
Recommended citation: E. K. de Jong, E. Quon, and S. Yellapantula (submitted). Mechanisms of Low-Level Jet Formation in the U.S. Mid-Atlantic Offshore. http://edejong-caltech.github.io/files/2023-lljs.pdf
talks
Three Minute Thesis, 2022 Caltech
Published:
I won 2nd place in the annual “Three Minute Thesis” (3MT) competition at Caltech–you can watch me describe my research for a general audience here.
Creativity and Climate (podcast)
Published:
I was interviewed alongside my PhD advisor Tapio Schneider at the 2023 DOE CSGF Program Review for the “Science in Parallel” podcast produced by the Krell Institute. Hear us discuss our paths, experiences, and views on creativity in climate science here.