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CO 2 -induced climate change assessment for the extreme 2022 Pakistan rainfall using seasonal forecasts

Abstract:
While it is widely believed that the intense rainfall in summer 2022 over Pakistan was substantially exacerbated by anthropogenic climate change1, 2, climate models struggled to confirm this3, 4. Using a high-resolution operational seasonal forecasting system that successfully predicted the extreme wet conditions, we perform counterfactual experiments simulating pre-industrial and future conditions. Both experiments also exhibit strong anomalous rainfall, indicating a limited role of CO2-induced forcing. We attribute 10% of the total rainfall to historical increases in CO2 and ocean temperature. However, further increases in the future suggest a weak mean precipitation reduction but with increased variability. By decomposing rainfall and large-scale circulation into CO2 and SST-related signals, we illustrate a tendency for these signals to compensate each other in future scenarios. This suggests that historical CO2 impacts may not reliably predict future responses. Accurately capturing local dynamics is therefore essential for regional climate adaptation planning and for informing loss and damage discussions.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41612-025-01136-3

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Physics - Central
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Physics - Central
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Physics - Central
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Physics - Central
Role:
Author


More from this funder
Funder identifier:
https://ror.org/02b5d8509


Publisher:
Nature Research
Journal:
npj Climate and Atmospheric Science More from this journal
Volume:
8
Issue:
1
Article number:
262
Publication date:
2025-07-09
Acceptance date:
2025-06-14
DOI:
EISSN:
2397-3722


Language:
English
Source identifiers:
3104990
Deposit date:
2025-07-10
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