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
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
6833Subventions
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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