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Data Publisher for Earth & Environmental Science

Silva-Busso, Adrian A; Falk, Ulrike; Pölcher, Pablo (2018): Hydrological catchment runoff in periglacial creeks, King George Islands, Antarctic Peninsula [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.887836

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Abstract:
Although the relationship between surface air temperature and glacial discharge has been studied in the northern hemisphere for at least a century, similar studies for Antarctica remain scarce and only for the past decades. This data scarcity is due to the extreme meteorological conditions and terrain inaccessibility. As a result, the contribution of glacial discharge in Antarctica to global sea level rise is still attached with great uncertainties, in especially from partly glaciated hydrological basins as can be found in the Antarctic Peninsula. In this paper, we propose a simplified model based on the Monte Carlo method and Fourier analysis for estimating discharge in partly glaciated and periglacial hydrological catchments with a summer melt period. Our model offers the advantage of scarce data requirements and quick recognition of periglacial environments. Discharge was found to be highly correlated with surface air temperature for the partially glaciated hydrological catchments on Potter Peninsula, King George Island (Isla 25 Mayo). The model is simple to implement and requires few variables to make most versatile simulations. We have obtained simulated maximum flow estimates between 1.92 - 2.77 hm3/month for two creeks (South and North Potter) with a very good fit to field observations. The glacial mean discharge during summer months was estimated to 1.13 -1.43 hm3/month for each creek, respectively.
Related to:
Falk, Ulrike; Silva-Busso, Adrian A; Pölcher, Pablo (2018): A simplified method to estimate the run-off in Periglacial Creeks: a case study of King George Islands, Antarctic Peninsula. Philosophical Transactions of the Royal Society A-Mathematical Physical and Engineering Sciences, 376(2122), 20170166, https://doi.org/10.1098/rsta.2017.0166
Coverage:
Median Latitude: -62.210265 * Median Longitude: -58.646570 * South-bound Latitude: -62.210500 * West-bound Longitude: -58.649780 * North-bound Latitude: -62.210030 * East-bound Longitude: -58.643360
Size:
2 datasets

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