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Large interannual variability in supraglacial lakes around East Antarctica.
Arthur, Jennifer F; Stokes, Chris R; Jamieson, Stewart S R; Rachel Carr, J; Leeson, Amber A; Verjans, Vincent.
  • Arthur JF; Department of Geography, Durham University, Durham, DH1 3LE, UK. jennifer.arthur@durham.ac.uk.
  • Stokes CR; Department of Geography, Durham University, Durham, DH1 3LE, UK.
  • Jamieson SSR; Department of Geography, Durham University, Durham, DH1 3LE, UK.
  • Rachel Carr J; School of Geography, Politics and Sociology, Newcastle University, Newcastle-upon-Tyne, NE1 7RU, UK.
  • Leeson AA; Lancaster Environment Centre/Data Science Institute, Lancaster University, Bailrigg, Lancaster, LA1 4YW, UK.
  • Verjans V; School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
Nat Commun ; 13(1): 1711, 2022 03 31.
Article en En | MEDLINE | ID: mdl-35361810
ABSTRACT
Antarctic supraglacial lakes (SGLs) have been linked to ice shelf collapse and the subsequent acceleration of inland ice flow, but observations of SGLs remain relatively scarce and their interannual variability is largely unknown. This makes it difficult to assess whether some ice shelves are close to thresholds of stability under climate warming. Here, we present the first observations of SGLs across the entire East Antarctic Ice Sheet over multiple melt seasons (2014-2020). Interannual variability in SGL volume is >200% on some ice shelves, but patterns are highly asynchronous. More extensive, deeper SGLs correlate with higher summer (December-January-February) air temperatures, but comparisons with modelled melt and runoff are complex. However, we find that modelled January melt and the ratio of November firn air content to summer melt are important predictors of SGL volume on some potentially vulnerable ice shelves, suggesting large increases in SGLs should be expected under future atmospheric warming.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Lagos / Cubierta de Hielo Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Lagos / Cubierta de Hielo Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article