Discrepancies between observations and climate models of large-scale wind-driven Greenland melt influence sea-level rise projections.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
14 Nov 2022
Historique:
received: 17 12 2021
accepted: 25 10 2022
entrez: 14 11 2022
pubmed: 15 11 2022
medline: 15 11 2022
Statut: epublish

Résumé

While climate models project that Greenland ice sheet (GrIS) melt will continue to accelerate with climate change, models exhibit limitations in capturing observed connections between GrIS melt and changes in high-latitude atmospheric circulation. Here we impose observed Arctic winds in a fully-coupled climate model with fixed anthropogenic forcing to quantify the influence of the rotational component of large-scale atmospheric circulation variability over the Arctic on the temperature field and the surface mass/energy balances through adiabatic processes. We show that recent changes involving mid-to-upper-tropospheric anticyclonic wind anomalies - linked with tropical forcing - explain half of the observed Greenland surface warming and ice loss acceleration since 1990, suggesting a pathway for large-scale winds to potentially enhance sea-level rise by ~0.2 mm/year per decade. We further reveal fingerprints of this observed teleconnection in paleo-reanalyses spanning the past 400 years, which heightens concern about model limitations to capture wind-driven adiabatic processes associated with GrIS melt.

Identifiants

pubmed: 36376292
doi: 10.1038/s41467-022-34414-2
pii: 10.1038/s41467-022-34414-2
pmc: PMC9663692
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6833

Subventions

Organisme : United States Department of Commerce | NOAA | Climate Program Office (NOAA Climate Program Office)
ID : NA19OAR4310281
Organisme : United States Department of Commerce | NOAA | Climate Program Office (NOAA Climate Program Office)
ID : NA18OAR4310424
Organisme : National Science Foundation (NSF)
ID : OPP-1744598
Organisme : National Science Foundation (NSF)
ID : OPP-1744598

Informations de copyright

© 2022. The Author(s).

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Auteurs

Dániel Topál (D)

Institute for Geological and Geochemical Research, Research Centre for Astronomy and Earth Sciences, MTA-Centre for Excellence, ELKH, Budapest, Hungary. topal.daniel@csfk.org.
Department of Geography and Earth Research Institute, University of California-Santa Barbara, Santa Barbara, CA, USA. topal.daniel@csfk.org.
ELTE Eötvös Loránd University, Doctoral School of Environmental Sciences, Budapest, Hungary. topal.daniel@csfk.org.

Qinghua Ding (Q)

Department of Geography and Earth Research Institute, University of California-Santa Barbara, Santa Barbara, CA, USA. qinghua@ucsb.edu.

Thomas J Ballinger (TJ)

International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, AK, USA. tjballinger@alaska.edu.

Edward Hanna (E)

Department of Geography and Lincoln Climate Research Group, University of Lincoln, Lincoln, UK.

Xavier Fettweis (X)

SPHERES research units, Geography Department, University of Liège, Liège, Belgium.

Zhe Li (Z)

Department of Geography and Earth Research Institute, University of California-Santa Barbara, Santa Barbara, CA, USA.

Ildikó Pieczka (I)

ELTE Eötvös Loránd University, Institute of Geography and Earth Sciences, Department of Meteorology, Budapest, Hungary.

Classifications MeSH