4.7 Article

The timing of anthropogenic emergence in simulated climate extremes

Journal

ENVIRONMENTAL RESEARCH LETTERS
Volume 10, Issue 9, Pages -

Publisher

IOP PUBLISHING LTD
DOI: 10.1088/1748-9326/10/9/094015

Keywords

CMIP5; attribution; temperature; precipitation; Central England temperature

Funding

  1. Australian Research Council [RM08448, CE110001028, DE150100456, LP100200690, DE140100952]
  2. UK National Environmental Research Council [NE/I020792/1]
  3. National Centre for Atmospheric Science (NCAS-Climate)
  4. NCI facility in Australia
  5. NERC [NE/N006054/1] Funding Source: UKRI
  6. Natural Environment Research Council [NE/N006054/1, ncas10009] Funding Source: researchfish
  7. Australian Research Council [DE140100952] Funding Source: Australian Research Council

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Determining the time of emergence of climates altered from their natural state by anthropogenic influences can help inform the development of adaptation and mitigation strategies to climate change. Previous studies have examined the time of emergence of climate averages. However, at the global scale, the emergence of changes in extreme events, which have the greatest societal impacts, has not been investigated before. Based on state-of-the-art climate models, we show that temperature extremes generally emerge slightly later from their quasi-natural climate state than seasonal means, due to greater variability in extremes. Nevertheless, according to model evidence, both hot and cold extremes have already emerged across many areas. Remarkably, even precipitation extremes that have very large variability are projected to emerge in the coming decades in Northern Hemisphere winters associated with a wettening trend. Based on our findings we expect local temperature and precipitation extremes to already differ significantly from their previous quasi-natural state at many locations or to do so in the near future. Our findings have implications for climate impacts and detection and attribution studies assessing observed changes in regional climate extremes by showing whether they will likely find a fingerprint of anthropogenic climate change.

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