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Multi-thousand member ensemble atmospheric simulations with global 60km resolution using climateprediction.net

Abstract:
Multi-thousand member climate model simulations are highly valuable for showing how extreme weather events will change as the climate changes, using a physically-based approach. However, until now, studies using such an approach have been limited to using models with a resolution much coarser than the most modern systems. We have developed a global atmospheric model with 5/6°x5/9° resolution (~60km in middle latitudes) that can be run in the climateprediction.net distributed computing system to produce such large datasets. This resolution is finer than that of many current global climate models and sufficient for good simulation of extratropical synoptic features such as storms. It will also allow many extratropical extreme weather events to be simulated without requiring regional downscaling. We will show that this model's simulation of extratropical weather is competitive with that in other current models. We will also present results from the first multi-thousand member ensembles produced at this resolution, showing the impact of 1.5°C and 2°C global warming on extreme winter rainfall and extratropical cyclones in Europe.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.5194/egusphere-egu2020-10895

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0001-5173-9903
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-1802-6909
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Author


Publisher:
Copernicus GmbH
Host title:
Proceedings of the EGU General Assembly 2020
Issue:
2020
Article number:
10895
Publication date:
2020-04-23
Acceptance date:
2020-01-31
Event title:
EGU General Assembly 2020
Event location:
Online
Event website:
https://www.egu2020.eu/
Event start date:
2020-05-04
Event end date:
2020-05-08
DOI:


Language:
English
Keywords:
Pubs id:
1093429
Local pid:
pubs:1093429
Deposit date:
2020-06-11

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