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Rate of mass loss from the Greenland Ice Sheet will exceed Holocene values this century.
Briner, Jason P; Cuzzone, Joshua K; Badgeley, Jessica A; Young, Nicolás E; Steig, Eric J; Morlighem, Mathieu; Schlegel, Nicole-Jeanne; Hakim, Gregory J; Schaefer, Joerg M; Johnson, Jesse V; Lesnek, Alia J; Thomas, Elizabeth K; Allan, Estelle; Bennike, Ole; Cluett, Allison A; Csatho, Beata; de Vernal, Anne; Downs, Jacob; Larour, Eric; Nowicki, Sophie.
Afiliación
  • Briner JP; Department of Geology, University at Buffalo, Buffalo, NY, USA. jbriner@buffalo.edu.
  • Cuzzone JK; Department of Earth System Science, University of California Irvine, Irvine, CA, USA.
  • Badgeley JA; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.
  • Young NE; Department of Earth and Space Sciences, University of Washington, Seattle, WA, USA.
  • Steig EJ; Lamont-Doherty Earth Observatory, Geochemistry, Palisades, NY, USA.
  • Morlighem M; Department of Earth and Space Sciences, University of Washington, Seattle, WA, USA.
  • Schlegel NJ; Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA.
  • Hakim GJ; Department of Earth System Science, University of California Irvine, Irvine, CA, USA.
  • Schaefer JM; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.
  • Johnson JV; Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA.
  • Lesnek AJ; Lamont-Doherty Earth Observatory, Geochemistry, Palisades, NY, USA.
  • Thomas EK; Department of Earth and Environmental Sciences, Columbia University, New York, NY, USA.
  • Allan E; Department of Computer Science, University of Montana, Missoula, MT, USA.
  • Bennike O; Department of Geology, University at Buffalo, Buffalo, NY, USA.
  • Cluett AA; Department of Geology, University at Buffalo, Buffalo, NY, USA.
  • Csatho B; Geotop, Université du Québec à Montréal, Montréal, Quebec, Canada.
  • de Vernal A; Geological Survey of Denmark and Greenland, Copenhagen, Denmark.
  • Downs J; Department of Geology, University at Buffalo, Buffalo, NY, USA.
  • Larour E; Department of Geology, University at Buffalo, Buffalo, NY, USA.
  • Nowicki S; Geotop, Université du Québec à Montréal, Montréal, Quebec, Canada.
Nature ; 586(7827): 70-74, 2020 10.
Article en En | MEDLINE | ID: mdl-32999481
ABSTRACT
The Greenland Ice Sheet (GIS) is losing mass at a high rate1. Given the short-term nature of the observational record, it is difficult to assess the historical importance of this mass-loss trend. Unlike records of greenhouse gas concentrations and global temperature, in which observations have been merged with palaeoclimate datasets, there are no comparably long records for rates of GIS mass change. Here we reveal unprecedented mass loss from the GIS this century, by placing contemporary and future rates of GIS mass loss within the context of the natural variability over the past 12,000 years. We force a high-resolution ice-sheet model with an ensemble of climate histories constrained by ice-core data2. Our simulation domain covers southwestern Greenland, the mass change of which is dominated by surface mass balance. The results agree favourably with an independent chronology of the history of the GIS margin3,4. The largest pre-industrial rates of mass loss (up to 6,000 billion tonnes per century) occurred in the early Holocene, and were similar to the contemporary (AD 2000-2018) rate of around 6,100 billion tonnes per century5. Simulations of future mass loss from southwestern GIS, based on Representative Concentration Pathway (RCP) scenarios corresponding to low (RCP2.6) and high (RCP8.5) greenhouse gas concentration trajectories6, predict mass loss of between 8,800 and 35,900 billion tonnes over the twenty-first century. These rates of GIS mass loss exceed the maximum rates over the past 12,000 years. Because rates of mass loss from the southwestern GIS scale linearly5 with the GIS as a whole, our results indicate, with high confidence, that the rate of mass loss from the GIS will exceed Holocene rates this century.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Nature Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Nature Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos