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Uncertainty in climate change projections

The role of internal variability

Bibliographic Data

ID23333346
AuthorsClara Deser (0000-0002-5517-9103, NSF National Center for Atmospheric Research, corresponding author), Adam Phillips, A S Phillips (0000-0003-4859-8585, NSF National Center for Atmospheric Research), Vincent Bourdette (NSF National Center for Atmospheric Research), Haiyan Teng (0000-0001-6839-0672, NSF National Center for Atmospheric Research)
Year2012
Volume38
Issue3-4
Pages527-546
Publication date2012-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueClimate Dynamics (JOURNAL)
Journal identifiersISSN: 0930-7575 • E-ISSN: 1432-0894
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s00382-010-0977-x
OpenAlexW1974470230
LanguageEN
Citations received74
References cited45

Uncertainty in future climate change presents a key challenge for adaptation planning. In this study, uncertainty arising from internal climate variability is investigated using a new 40-member ensemble conducted with the National Center for Atmospheric Research Community Climate System Model Version 3 (CCSM3) under the SRES A1B greenhouse gas and ozone recovery forcing scenarios during 2000–2060. The contribution of intrinsic atmospheric variability to the total uncertainty is further examined using a 10,000-year control integration of the atmospheric model component of CCSM3 under fixed boundary conditions. The global climate response is characterized in terms of air temperature, precipitation, and sea level pressure during winter and summer. The dominant source of uncertainty in the simulated climate response at middle and high latitudes is internal atmospheric variability associated with the annular modes of circulation variability. Coupled ocean-atmosphere variability plays a dominant role in the tropics, with attendant effects at higher latitudes via atmospheric teleconnections. Uncertainties in the forced response are generally larger for sea level pressure than precipitation, and smallest for air temperature. Accordingly, forced changes in air temperature can be detected earlier and with fewer ensemble members than those in atmospheric circulation and precipitation. Implications of the results for detection and attribution of observed climate change and for multi-model climate assessments are discussed. Internal variability is estimated to account for at least half of the inter-model spread in projected climate trends during 2005–2060 in the CMIP3 multi-model ensemble.

Atmospheric Circulation · Atmospheric model · Atmospheric sciences · Climate change · Climate model · Climatology · Forcing (mathematics) · Geography · Greenhouse gas · Meteorology · Precipitation · Teleconnection · Climate variability and models · Environmental Science · Geology · Meteorological Phenomena and Simulations · Oceanographic and Atmospheric Processes

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Unique citing works74
Citations per year4,93
Citation span2011 - 2026 (16)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 71

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