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dc.date.accessioned2021-02-10T09:16:06Z
dc.date.available2021-02-10T09:16:06Z
dc.date.created2019-08-21T11:11:46Z
dc.date.issued2019
dc.identifier.citationLi, Ryan Storelvmo, Trude Fedorov, Alexey Choi, Yong-Sang . A Positive Iris Feedback: Insights from Climate Simulations with Temperature-Sensitive Cloud–Rain Conversion. Journal of Climate. 2019, 32(16), 5305-5324
dc.identifier.urihttp://hdl.handle.net/10852/83101
dc.description.abstractEstimates for equilibrium climate sensitivity from current climate models continue to exhibit a large spread, from 2.1 to 4.7 K per carbon dioxide doubling. Recent studies have found that the treatment of precipitation efficiency in deep convective clouds—specifically the conversion rate from cloud condensate to rain Cp—may contribute to the large intermodel spread. It is common for convective parameterization in climate models to carry a constant Cp, although its values are model and resolution dependent. In this study, we investigate how introducing a potential iris feedback, the cloud–climate feedback introduced by parameterizing Cp to increase with surface temperature, affects future climate simulations within a slab ocean configuration of the Community Earth System Model. Progressively stronger dependencies of Cp on temperature unexpectedly increase the equilibrium climate sensitivity monotonically from 3.8 to up to 4.6 K. This positive iris feedback puzzle, in which a reduction in cirrus clouds increases surface temperature, is attributed to changes in the opacity of convectively detrained cirrus. Cirrus clouds reduced largely in ice content and marginally in horizontal coverage, and thus the positive shortwave cloud radiative feedback dominates. The sign of the iris feedback is robust across different cloud macrophysics schemes, which control horizontal cloud cover associated with detrained ice. These results suggest a potentially strong but highly uncertain connection among convective precipitation, detrained anvil cirrus, and the high cloud feedback in a climate forced by increased atmospheric carbon dioxide concentrations. Supplemental information related to this paper is available at the Journals Online website: https://doi.org/10.1175/JCLI-D-18-0845.s1. © 2019 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).
dc.languageEN
dc.titleA Positive Iris Feedback: Insights from Climate Simulations with Temperature-Sensitive Cloud–Rain Conversion
dc.typeJournal article
dc.creator.authorLi, Ryan
dc.creator.authorStorelvmo, Trude
dc.creator.authorFedorov, Alexey
dc.creator.authorChoi, Yong-Sang
cristin.unitcode185,15,22,0
cristin.unitnameInstitutt for geofag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.cristin1717631
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of Climate&rft.volume=32&rft.spage=5305&rft.date=2019
dc.identifier.jtitleJournal of Climate
dc.identifier.volume32
dc.identifier.issue16
dc.identifier.startpage5305
dc.identifier.endpage5324
dc.identifier.doihttp://dx.doi.org/10.1175/JCLI-D-18-0845.1
dc.identifier.urnURN:NBN:no-85875
dc.subject.nviVDP::Geofag: 450
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0894-8755
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/83101/1/Journal-of-Climate---A-Positive-Iris-Feedback.pdf
dc.type.versionPublishedVersion
dc.relation.projectEU/758005


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