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Regional climate of the Larsen B embayment 1980-2014

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Regional climate of the Larsen B embayment 1980-2014. / Leeson, Amber Alexandra; van Wessem, Melchior; Ligtenberg, Stefan et al.
In: Journal of Glaciology, Vol. 63, No. 240, 08.2017, p. 683-690.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Leeson, AA, van Wessem, M, Ligtenberg, S, Shepherd, A, van den broeke, M, Killick, RC, Skvarca, P, Marinsek, S & Colwell, S 2017, 'Regional climate of the Larsen B embayment 1980-2014', Journal of Glaciology, vol. 63, no. 240, pp. 683-690. https://doi.org/10.1017/jog.2017.39

APA

Leeson, A. A., van Wessem, M., Ligtenberg, S., Shepherd, A., van den broeke, M., Killick, R. C., Skvarca, P., Marinsek, S., & Colwell, S. (2017). Regional climate of the Larsen B embayment 1980-2014. Journal of Glaciology, 63(240), 683-690. https://doi.org/10.1017/jog.2017.39

Vancouver

Leeson AA, van Wessem M, Ligtenberg S, Shepherd A, van den broeke M, Killick RC et al. Regional climate of the Larsen B embayment 1980-2014. Journal of Glaciology. 2017 Aug;63(240):683-690. Epub 2017 Jun 29. doi: 10.1017/jog.2017.39

Author

Leeson, Amber Alexandra ; van Wessem, Melchior ; Ligtenberg, Stefan et al. / Regional climate of the Larsen B embayment 1980-2014. In: Journal of Glaciology. 2017 ; Vol. 63, No. 240. pp. 683-690.

Bibtex

@article{1e048d4ef80a4b309702ca340331e533,
title = "Regional climate of the Larsen B embayment 1980-2014",
abstract = "Understanding 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 x 5.5 km) version of a regional climate model (RACMO2.3) can reproduce observed inter-annual variability in the Larsen B embayment sufficiently to enable its use in investigating long-term changes in this sector. Using the model, together with AWS data, we confirm previous findings that the year of the Larsen B ice shelf collapse (2001/2002) was a strong melt year, but discover that total annual melt production was in fact ~30% lower than two 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).",
author = "Leeson, {Amber Alexandra} and {van Wessem}, Melchior and Stefan Ligtenberg and A. Shepherd and {van den broeke}, Michiel and Killick, {Rebecca Claire} and Pedro Skvarca and Sebastien Marinsek and Steve Colwell",
year = "2017",
month = aug,
doi = "10.1017/jog.2017.39",
language = "English",
volume = "63",
pages = "683--690",
journal = "Journal of Glaciology",
issn = "0022-1430",
publisher = "International Glaciology Society",
number = "240",

}

RIS

TY - JOUR

T1 - Regional climate of the Larsen B embayment 1980-2014

AU - Leeson, Amber Alexandra

AU - van Wessem, Melchior

AU - Ligtenberg, Stefan

AU - Shepherd, A.

AU - van den broeke, Michiel

AU - Killick, Rebecca Claire

AU - Skvarca, Pedro

AU - Marinsek, Sebastien

AU - Colwell, Steve

PY - 2017/8

Y1 - 2017/8

N2 - Understanding 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 x 5.5 km) version of a regional climate model (RACMO2.3) can reproduce observed inter-annual variability in the Larsen B embayment sufficiently to enable its use in investigating long-term changes in this sector. Using the model, together with AWS data, we confirm previous findings that the year of the Larsen B ice shelf collapse (2001/2002) was a strong melt year, but discover that total annual melt production was in fact ~30% lower than two 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).

AB - Understanding 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 x 5.5 km) version of a regional climate model (RACMO2.3) can reproduce observed inter-annual variability in the Larsen B embayment sufficiently to enable its use in investigating long-term changes in this sector. Using the model, together with AWS data, we confirm previous findings that the year of the Larsen B ice shelf collapse (2001/2002) was a strong melt year, but discover that total annual melt production was in fact ~30% lower than two 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).

U2 - 10.1017/jog.2017.39

DO - 10.1017/jog.2017.39

M3 - Journal article

VL - 63

SP - 683

EP - 690

JO - Journal of Glaciology

JF - Journal of Glaciology

SN - 0022-1430

IS - 240

ER -