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Atmospheric river impacts on Greenland ice sheet surface mass balance
Mattingly, K.S.; Mote, T.L.; Fettweis, X. (2018). Atmospheric river impacts on Greenland ice sheet surface mass balance. JGR: Atmospheres 123(16): 8538-8560. https://hdl.handle.net/10.1029/2018JD028714
In: Journal of Geophysical Research-Atmospheres. AMER GEOPHYSICAL UNION: Washington. ISSN 2169-897X; e-ISSN 2169-8996, more
Peer reviewed article  

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  • Mattingly, K.S.
  • Mote, T.L.
  • Fettweis, X., more

Abstract
    Greenland Ice Sheet (GrIS) mass loss has accelerated since the turn of the twenty-first century. Several recent episodes of rapid GrIS ablation coincided with intense moisture transport over Greenland by atmospheric rivers (ARs), suggesting that these events influence the evolution of GrIS surface mass balance (SMB). ARs likely provide melt energy through several physical mechanisms, and conversely, may increase SMB through enhanced snow accumulation. In this study, we compile a long-term (1980–2016) record of moisture transport events using a conventional AR identification algorithm as well as a self-organizing map classification applied to MERRA-2 data. We then analyze AR effects on the GrIS using melt data from passive microwave satellite observations and regional climate model output. Results show that anomalously strong moisture transport by ARs clearly contributed to increased GrIS mass loss in recent years. AR activity over Greenland was above normal throughout the 2000s and early 2010s, and recent melting seasons with above-average GrIS melt feature positive moisture transport anomalies over Greenland. Analysis of individual AR impacts shows a pronounced increase in GrIS surface melt after strong AR events. AR effects on SMB are more complex, as strong summer ARs cause sharp SMB losses in the ablation zone that exceed moderate SMB gains induced by ARs in the accumulation zone during summer and in all areas during other seasons. Our results demonstrate the influence of the strongest ARs in controlling GrIS SMB, and we conclude that projections of future GrIS SMB should accurately capture these rare ephemeral events.

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