Peer Nowack
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Recent Grants
Grant: Close
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
Year:
2020
Collaborators (7)
James Keeble
University of Lancaster
William Ball
Assistant Professor
TU Delft
Joanna Haigh
Imperial College London
Gustau Camps-Valls
University of Valencia
Guang Zeng
Deutscher Wetterdienst
Yue Jia
University of Texas at Dallas
Paulo Ceppi
Prof.
Imperial College London
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