Projections of northern hemisphere extratropical climate underestimate internal variability and associated uncertainty View Full Text


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Article Info

DATE

2021-09-20

AUTHORS

Christopher H. O’Reilly, Daniel J. Befort, Antje Weisheimer, Tim Woollings, Andrew Ballinger, Gabriele Hegerl

ABSTRACT

Internal climate variability will play a major role in determining change on regional scales under global warming. In the extratropics, large-scale atmospheric circulation is responsible for much of observed regional climate variability, from seasonal to multidecadal timescales. However, the extratropical circulation variability on multidecadal timescales is systematically weaker in coupled climate models. Here we show that projections of future extratropical climate from coupled model simulations significantly underestimate the projected uncertainty range originating from large-scale atmospheric circulation variability. Using observational datasets and large ensembles of coupled climate models, we produce synthetic ensemble projections constrained to have variability consistent with the large-scale atmospheric circulation in observations. Compared to the raw model projections, the synthetic observationally-constrained projections exhibit an increased uncertainty in projected 21st century temperature and precipitation changes across much of the Northern extratropics. This increased uncertainty is also associated with an increase of the projected occurrence of future extreme seasons. More... »

PAGES

194

References to SciGraph publications

  • 2016-10-10. Twenty-five winters of unexpected Eurasian cooling unlikely due to Arctic sea-ice loss in NATURE GEOSCIENCE
  • 2019-07-08. Decadal predictability of late winter precipitation in western Europe through an ocean–jet stream connection in NATURE GEOSCIENCE
  • 2015-05-27. Ocean impact on decadal Atlantic climate variability revealed by sea-level observations in NATURE
  • 2014-09-21. Atmospheric circulation as a source of uncertainty in climate change projections in NATURE GEOSCIENCE
  • 2018-02-12. Severe effects of long-term drought on calcareous grassland seed banks in NPJ CLIMATE AND ATMOSPHERIC SCIENCE
  • 2015-01-06. A delayed oscillator model for the quasi-periodic multidecadal variability of the NAO in CLIMATE DYNAMICS
  • 2016-07-28. Impact of observed North Atlantic multidecadal variations to European summer climate: a linear baroclinic response to surface heating in CLIMATE DYNAMICS
  • 2021-03-25. NAO predictability from external forcing in the late 20th century in NPJ CLIMATE AND ATMOSPHERIC SCIENCE
  • 2013-07-10. Stratosphere key for wintertime atmospheric response to warm Atlantic decadal conditions in CLIMATE DYNAMICS
  • 2020-04-18. Partitioning uncertainty components of mean climate and climate change in a large ensemble of European regional climate model projections in CLIMATE DYNAMICS
  • 2015-07-01. A model-tested North Atlantic Oscillation reconstruction for the past millennium in NATURE
  • 2012-10-07. Atlantic Ocean influence on a shift in European climate in the 1990s in NATURE GEOSCIENCE
  • 2008-11-09. Increased multidecadal variability of the North Atlantic Oscillation since 1781 in NATURE GEOSCIENCE
  • 2013-07-23. EURO-CORDEX: new high-resolution climate change projections for European impact research in REGIONAL ENVIRONMENTAL CHANGE
  • 2021-02-04. More accurate quantification of model-to-model agreement in externally forced climatic responses over the coming century in NATURE COMMUNICATIONS
  • 2011-11-25. Observed and simulated impacts of the summer NAO in Europe: implications for projected drying in the Mediterranean region in CLIMATE DYNAMICS
  • 2010-12-31. Uncertainty in climate change projections: the role of internal variability in CLIMATE DYNAMICS
  • 2016-12-30. The role of the North Atlantic Oscillation in European climate projections in CLIMATE DYNAMICS
  • 2015-01-28. Forcing, feedback and internal variability in global temperature trends in NATURE
  • 2014-01-30. A multi-model comparison of Atlantic multidecadal variability in CLIMATE DYNAMICS
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    http://scigraph.springernature.com/pub.10.1038/s43247-021-00268-7

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