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Regional climate of the Larsen B embayment 1980–2014

doi: 10.1017/jog.2017.39
ABSTRACTUnderstanding the climate response of the Antarctic Peninsula ice sheet is vital for accurate predictions of sea-level rise. However, since climate models are typically too coarse to capture spatial variability in local scale meteorological processes, our ability to study specific sectors has been limited by the local fidelity of such models and the (often sparse) availability of observations. We show that a high-resolution (5.5 km × 5.5 km) version of a regional climate model (RACMO2.3) can reproduce observed interannual variability in the Larsen B embayment sufficiently to enable its use in investigating long-term changes in this sector. Using the model, together with automatic weather station data, we confirm previous findings that the year of the Larsen B ice shelf collapse (2001/02) was a strong melt year, but discover that total annual melt production was in fact ~30% lower than 2 years prior. While the year before collapse exhibited the lowest melting and highest snowfall during 1980–2014, the ice shelf was likely pre-conditioned for collapse by a series of strong melt years in the 1990s. Melt energy has since returned to pre-1990s levels, which likely explains the lack of further significant collapse in the region (e.g. of SCAR Inlet).
- University of Leeds United Kingdom
- British Antarctic Survey United Kingdom
- Utrecht University Netherlands
- Lancaster University United Kingdom
- Instituto Antártico Argentino
550, melt - surface, 551, Environmental sciences, climate change, ice-shelf break-up, Meteorology. Climatology, GE1-350, QC851-999, ice shelves, melt – surface, Earth-Surface Processes
550, melt - surface, 551, Environmental sciences, climate change, ice-shelf break-up, Meteorology. Climatology, GE1-350, QC851-999, ice shelves, melt – surface, Earth-Surface Processes
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).20 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
