Developing a Plume‐in‐Grid Model for Plume Evolution in the Stratosphere
Name
J Adv Model Earth Syst - 2022 - Sun - Developing a Plume‐in‐Grid Model for Plume Evolution in the Stratosphere.pdf
Description
Published version
Size
2.19 MB
Format
Adobe PDF
Checksum (MD5)
141c885bdf0f0302e0310ed0a9c9731d
Author(s)
Sun, Hongwei
Eastham, Sebastian
Keith, David
Date Issued
March 21, 2022
Journal
Journal of Advances in Modeling Earth Systems
Publisher
American Geophysical Union
Citation
Sun, H., Eastham, S., & Keith, D. (2022). Developing a Plume-in-Grid model for plume evolution in the stratosphere. Journal of Advances in Modeling Earth Systems, 14, e2021MS002816.
Version
Final published version
Abstract
tratospheric emissions from aircraft or rockets are important sources of chemical perturbations. Small‐radius high‐aspect‐ratio plumes from stratospheric emissions are smaller than global Eulerian models' grid cells. To help global Eulerian models resolve subgrid plumes in the stratosphere, a Lagrangian plume model, comprising a Lagrangian trajectory model and an adaptive‐grid plume model with a sequence of plume cross‐section representations (from a highly resolved 2‐D grid to a simplified 1‐D grid based on a tradeoff between the accuracy and computational cost), is created and embedded into a global Eulerian (i.e., GEOS‐Chem) model to establish a multiscale Plume‐in‐Grid (PiG) model. We compare this PiG model to the GEOS‐Chem model based on a 1‐month simulation of continuous inert tracer emissions by aircraft in the stratosphere. In the PiG results, the final injected tracer is more concentrated and approximately 1/3 of the tracer is at concentrations 2–4 orders of magnitude larger compared to the GEOS‐Chem results. The entropy of injected tracer in the PiG results is 6% lower than the GEOS‐Chem results, indicating less tracer mixing. The total product mass from a hypothetical second‐order process (applied to the injected tracer) in the PiG results is 2 orders of magnitude larger than the GEOS‐Chem results. Increasing the GEOS‐Chem model's horizontal resolution 4‐fold is insufficient to resolve this product difference, while requiring over seven times the computational resources of the PiG model. This paper describes the PiG model framework and parameterization of plume physical processes. Chemical and aerosol processes will be introduced in the future.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Laboratory for Aviation and the Environment
Massachusetts Institute of Technology. Joint Program on the Science & Policy of Global Change
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1029/2021ms002816
