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Cited by 314

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Precipitation, radiative forcing and global temperature change

Open access
Andrews, Timothy, Forster, Piers M., Boucher, Olivier, Bellouin, Nicolas, Jones, Andy·2010·Geophysical Research Letters

Abstract

Radiative forcing is a useful tool for predicting equilibrium global temperature change. However, it is not so useful for predicting global precipitation changes, as changes in precipitation strongly depend on the climate change mechanism and how it perturbs the atmospheric and surface energy budgets. Here a suite of climate model experiments and radiative transfer calculations are used to quantify and assess this dependency across a range of climate change mechanisms. It is shown that the precipitation response can be split into two parts: a fast atmospheric response that strongly correlates with the atmospheric component of radiative forcing, and a slower response to global surface temperature change that is independent of the climate change mechanism, ∼2‐3% per unit of global surface temperature change. We highlight the precipitation response to black carbon aerosol forcing as falling within this range despite having an equilibrium response that is of opposite sign to the radiative forcing and global temperature change.

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Metadata

Authors
Andrews, T., Forster, P. M., Boucher, O., Bellouin, N., & Jones, A.
Venue
Geophysical Research Letters
Published
2010-07
Volume
37
Issue
14
ISSN
  • 0094-8276 (ISSN-L)
  • 1944-8007
OpenAlex
W1480489343
Cited by
314
References
1
FWCI
17.15
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Precipitation, radiative forcing and global temperature change. https://app.cochat.ai/papers/10.1029/2010gl043991
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Andrews, T., Forster, P. M., Boucher, O., Bellouin, N., & Jones, A. (2010). Precipitation, radiative forcing and global temperature change. Geophysical Research Letters. https://doi.org/10.1029/2010gl043991

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.