Abstract
When the climate system is forced, for example, by the emission of greenhouse gases, it responds on multiple time scales. As temperatures rise, feedback processes might intensify or weaken. Such state dependencies cannot be fully captured with common linear regression techniques that relate feedback strengths linearly to changes in the global mean temperature. Hence, transient changes are difficult to track and it becomes easy to underestimate future warming this way. Here, we present a multivariate and spatial framework that facilitates the dissection of climate feedbacks over time scales. Using this framework, information on the composition of projected transient future climates and feedback strengths can be obtained. The new framework is illustrated using the Community Earth System Model version 2.
Original language | English |
---|---|
Article number | e2021GL094670 |
Pages (from-to) | 1-11 |
Journal | Geophysical Research Letters |
Volume | 48 |
Issue number | 20 |
DOIs | |
Publication status | Published - 28 Oct 2021 |
Bibliographical note
Funding Information:All MATLAB and Python codes are made available on https://doi.org/10.5281/zenodo.5554874 . This project is TiPES contribution #114: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 820970.
Publisher Copyright:
© 2021. The Authors.
Keywords
- CESM2
- climate dynamics
- climate feedbacks
- climate models
- climate projections
- global warming