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  Carbon Dioxide physiological forcing dominates projected eastern Amazonian drying

Richardson, T., Forster, P., Andrews, T., Boucher, O., Faluvegi, G., Fläschner, D., et al. (2018). Carbon Dioxide physiological forcing dominates projected eastern Amazonian drying. Geophysical Research Letters, early view, available online. doi:10.1002/2017GL076520.

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Richardson, T.B., Author
Forster, P.M., Author
Andrews, T., Author
Boucher, O., Author
Faluvegi, G., Author
Fläschner, Dagmar1, Author           
Kasoar, M., Author
Kirkevåg, A., Author
Lamarque, J.-F., Author
Myhre, G., Author
Olivié, D., Author
Samset, B.H., Author
Shawki, D., Author
Shindell, D., Author
Takemura, T., Author
Voulgarakis, A., Author
Affiliations:
1Director’s Research Group AES, The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society, ou_913570              

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Free keywords: Carbon dioxide; Climate models; Physiology; Precipitation (chemical), Amazon; CO2 forcing; Fast response; Physiological forcing; Stomatal response, Physiological models
 Abstract: Future projections of east Amazonian precipitation indicate drying, but they are uncertain and poorly understood. In this study we analyze the Amazonian precipitation response to individual atmospheric forcings using a number of global climate models. Black carbon is found to drive reduced precipitation over the Amazon due to temperature-driven circulation changes, but the magnitude is uncertain. CO2 drives reductions in precipitation concentrated in the east, mainly due to a robustly negative, but highly variable in magnitude, fast response. We find that the physiological effect of CO2 on plant stomata is the dominant driver of the fast response due to reduced latent heating and also contributes to the large model spread. Using a simple model, we show that CO2 physiological effects dominate future multimodel mean precipitation projections over the Amazon. However, in individual models temperature-driven changes can be large, but due to little agreement, they largely cancel out in the model mean. ©2018. The Authors.

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Language(s): eng - English
 Dates: 2018-03-26
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/2017GL076520
BibTex Citekey: Richardson2018
 Degree: -

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Title: Geophysical Research Letters
Source Genre: Journal
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Publ. Info: Blackwell Publishing Ltd
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: early view, available online Identifier: ISSN: 00948276