The Engineering of Climate Engineering
The work
| Authors | Douglas G. MacMartin; Ben Kravitz |
|---|---|
| Editors | |
| Type | article |
| Year | 2019 |
| Citekey | macmartin2019engineering |
Where it appeared
| Published in | Annual Review of Control, Robotics, and Autonomous Systems |
|---|---|
| Publisher | Annual Reviews |
| Volume | 2 |
| Issue | 1 |
| Pages | 445--467 |
Identifiers
| DOI | 10.1146/annurev-control-053018-023725 |
|---|
Access
| Landing page | https://doi.org/10.1146/annurev-control-053018-023725 |
|---|---|
| Free full text | https://www.annualreviews.org/doi/pdf/10.1146/annurev-control-053018-023725 |
Abstract
While reducing anthropogenic greenhouse gas emissions remains the most essential element of any strategy to manage climate change risk, it is also in principle possible to directly cool the climate by reflecting some sunlight back to space. Such climate engineering approaches include adding aerosols to the stratosphere and marine cloud brightening. Assessing whether these ideas could reduce risk requires a broad, multidisciplinary research effort spanning climate science, social sciences, and governance. However, if such strategies were ever used, the effort would also constitute one of the most critical engineering design and control challenges ever considered: making real-time decisions for a highly uncertain and nonlinear dynamic system with many input variables, many measurements, and a vast number of internal degrees of freedom, the dynamics of which span a wide range of timescales. Here, we review the engineering design aspects of climate engineering, discussing both progress to date and remaining challenges that will need to be addressed.
A copy is held
pdf, 2.9 MB. Not published — it may be under copyright. The facts and links here are.
How it got here
| How it got here | agent via crossref |
|---|---|
| Added | 2026-08-13 00:00 UTC |
| Approved by | a person 2026-08-23 14:12 UTC |
Cite it as
@article{macmartin2019engineering,
title = {The Engineering of Climate Engineering},
author = {Douglas G. MacMartin and Ben Kravitz},
year = {2019},
journal = {Annual Review of Control, Robotics, and Autonomous Systems},
publisher = {Annual Reviews},
volume = {2},
number = {1},
pages = {445--467},
doi = {10.1146/annurev-control-053018-023725},
}
This record lives at https://refs.drheap.org/macmartin2019engineering/ and will keep doing so.