Response of stratospheric water vapour to warming constrained by satellite observations

Journal Article (2023)
Author(s)

Peer Nowack (University of East Anglia, Imperial College London, Karlsruhe Institut für Technologie)

Paulo Ceppi (Imperial College London)

Sean M. Davis (National Oceanic and Atmospheric Administration)

Gabriel Chiodo (ETH Zürich)

William T. Ball (TU Delft - Atmospheric Remote Sensing, PMOD WRC, ETH Zürich)

Mohamadou A. Diallo (Forschungszentrum Jülich)

Birgit Hassler (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Yue Jia (University of Colorado - Boulder, National Oceanic and Atmospheric Administration)

James Keeble (University of Cambridge)

Manoj Joshi (University of East Anglia)

Research Group
Atmospheric Remote Sensing
Copyright
© 2023 Peer Nowack, Paulo Ceppi, Sean M. Davis, Gabriel Chiodo, W.T. Ball, Mohamadou A. Diallo, Birgit Hassler, Yue Jia, James Keeble, Manoj Joshi
DOI related publication
https://doi.org/10.1038/s41561-023-01183-6
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Peer Nowack, Paulo Ceppi, Sean M. Davis, Gabriel Chiodo, W.T. Ball, Mohamadou A. Diallo, Birgit Hassler, Yue Jia, James Keeble, Manoj Joshi
Research Group
Atmospheric Remote Sensing
Issue number
7
Volume number
16
Pages (from-to)
577-583
Reuse Rights

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Abstract

Future increases in stratospheric water vapour risk amplifying climate change and slowing down the recovery of the ozone layer. However, state-of-the-art climate models strongly disagree on the magnitude of these increases under global warming. Uncertainty primarily arises from the complex processes leading to dehydration of air during its tropical ascent into the stratosphere. Here we derive an observational constraint on this longstanding uncertainty. We use a statistical-learning approach to infer historical co-variations between the atmospheric temperature structure and tropical lower stratospheric water vapour concentrations. For climate models, we demonstrate that these historically constrained relationships are highly predictive of the water vapour response to increased atmospheric carbon dioxide. We obtain an observationally constrained range for stratospheric water vapour changes per degree of global warming of 0.31 ± 0.39 ppmv K−1. Across 61 climate models, we find that a large fraction of future model projections are inconsistent with observational evidence. In particular, frequently projected strong increases (>1 ppmv K−1) are highly unlikely. Our constraint represents a 50% decrease in the 95th percentile of the climate model uncertainty distribution, which has implications for surface warming, ozone recovery and the tropospheric circulation response under climate change.