- Abstract:
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Within the last decade, extreme weather event attribution has emerged as a new field of science and garnered increasing attention from the wider scientific community and the public. Numerous methods have been put forward to determine the contribution of anthropogenic climate change to individual extreme weather events. So far nearly all such analyses were done months after an event has happened. Here we present a new method which can assess the fraction of attributable risk of a severe weathe...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 5.0mb)
-
- Publisher copy:
- 10.1088/1748-9326/11/6/064006
-
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- Publisher:
- IOP Publishing Publisher's website
- Journal:
- Environmental Research Letters Journal website
- Volume:
- 11
- Issue:
- 6
- Pages:
- 064006-064006
- Publication date:
- 2016-06-01
- DOI:
- EISSN:
-
1748-9326
- URN:
-
uuid:58ea4d26-196e-46b6-b987-9e5d253a69d5
- Source identifiers:
-
631146
- Local pid:
- pubs:631146
- Copyright holder:
- IOP Publishing
- Copyright date:
- 2016
- Notes:
- © 2016 IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.
Journal article
Real-time extreme weather event attribution with forecast seasonal SSTs
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