Peer Nowack

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Country flagUnited Kingdom

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Recent Grants

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Machine learning approaches to constrain and understand the role of clouds in climate change (ML4CLOUDS)

Open Date: 2022-06-01

Close Date: 2025-05-01

Grant: Close

Imperial College Research Fellowship

Open Date: 2017-01-01

Close Date: 2021-01-01

Articles (11)

Year:

2023

Climate policies will affect future surface ozone pollution in China. Here, we simulate changes in summertime ozone across China by 2030 under four emission scenarios reflecting different levels of climate action. We also contrast results obtained with two different chemical mechanisms employed in the chemical transport model (WRF‐Chem). With emission reductions in ozone precursors introduced by climate policies, both mechanisms show promising ozone mitigation for most parts of China. However, they disagree starkly in China's three main city clusters, where one mechanism projects worsening ozone pollution by 2030 despite the emission reductions. We analyze possible drivers of this important discrepancy, in particular the role of varying ozone chemical regimes affecting its sensitivity to emission changes. We recommend an intercomparison project to examine this critical modeling uncertainty among other models/mechanisms, which would be invaluable for informing local and regional emission control strategies that are based on single‐model results.

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (7)

James Keeble

University of Lancaster

UNITED KINGDOM
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William Ball

Assistant Professor

TU Delft

NETHERLANDS
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Joanna Haigh

Imperial College London

UNITED KINGDOM
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Gustau Camps-Valls

University of Valencia

SPAIN
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Guang Zeng

Deutscher Wetterdienst

GERMANY
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Yue Jia

University of Texas at Dallas

UNITED STATES
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Paulo Ceppi

Prof.

Imperial College London

UNITED KINGDOM
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