Implications of ambiguity in Antarctic ice sheet dynamics for future coastal erosion estimates

a probabilistic assessment

Journal Article (2020)
Author(s)

Jasper Verschuur (Royal Netherlands Meteorological Institute (KNMI), Student TU Delft)

Dewi Le Bars (Royal Netherlands Meteorological Institute (KNMI))

C.A. Katsman (TU Delft - Environmental Fluid Mechanics)

S. de Vries (TU Delft - Coastal Engineering)

Roshanka Ranasinghe (IHE Delft Institute for Water Education, Deltares, University of Twente)

Sybren Drijfhout (Royal Netherlands Meteorological Institute (KNMI), Universiteit Utrecht)

S. G.J. Aarninkhof (TU Delft - Hydraulic Engineering)

Environmental Fluid Mechanics
Copyright
© 2020 Jasper Verschuur, Dewi Le Bars, C.A. Katsman, S. de Vries, Roshanka Ranasinghe, Sybren S. Drijfhout, S.G.J. Aarninkhof
DOI related publication
https://doi.org/10.1007/s10584-020-02769-4
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 Jasper Verschuur, Dewi Le Bars, C.A. Katsman, S. de Vries, Roshanka Ranasinghe, Sybren S. Drijfhout, S.G.J. Aarninkhof
Environmental Fluid Mechanics
Bibliographical Note
Accepted author manuscript@en
Issue number
2
Volume number
162
Pages (from-to)
859-876
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Abstract

Sea-level rise (SLR) can amplify the episodic erosion from storms and drive chronic erosion on sandy shorelines, threatening many coastal communities. One of the major uncertainties in SLR projections is the potential rapid disintegration of large fractions of the Antarctic ice sheet (AIS). Quantifying this uncertainty is essential to support sound risk management of coastal areas, although it is neglected in many erosion impact assessments. Here, we use the island of Sint Maarten as a case study to evaluate the impact of AIS uncertainty for future coastal recession. We estimate SLR-induced coastal recession using a probabilistic framework and compare and contrast three cases of AIS dynamics within the range of plausible futures. Results indicate that projections of coastal recession are sensitive to local morphological factors and assumptions made on how AIS dynamics are incorporated into SLR projections and that underestimating the potential rapid mass loss from the AIS can lead to ill-informed coastal adaptation decisions.

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