Analysing the development of meltwater networks on Antarctica

A casestudy on the Nivlisen ice shelf

Master Thesis (2020)
Author(s)

G.W.E. van der Zalm (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

Thom Bogaard – Mentor (TU Delft - Water Resources)

Stef Lhermitte – Graduation committee member (TU Delft - Mathematical Geodesy and Positioning)

Markus Hrachowitz – Graduation committee member (TU Delft - Water Resources)

Faculty
Civil Engineering & Geosciences
Copyright
© 2020 Geerten van der Zalm
More Info
expand_more
Publication Year
2020
Language
English
Copyright
© 2020 Geerten van der Zalm
Coordinates
-70.313322, 11.511457
Graduation Date
03-09-2020
Awarding Institution
Delft University of Technology
Faculty
Civil Engineering & Geosciences
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Meltwater features play an important role in the stability of the Antarctic ice shelves. They can destabilize ice shelves by exerting additional loading forces due to the weight of the water concentrated on one location. However, it is possible that developed meltwater networks transport water from an ice shelf into the ocean. In this way, they prevent this destabilization. A better understanding of the development of meltwater features on an ice shelf is needed to make predictions on future ice shelf stability. This research investigates the development of meltwater features during one melting season on the Nivlisen ice shelf. The investigation consists of three elements. First, satellite imagery is used to analyse the change of meltwater area and volume. Next, a potential routing network is created to study the influence of topography on the shape of meltwater features. Finally, climate data is compared to the calculated volumes of the meltwater features. This study shows that it is possible to create a routing network that predicts the shape of meltwater features very well. It is essential that surface depressions are correctly incorporated in the flow routing algorithm. The currently available climate data underestimates the meltwater production significantly. The growth of observed meltwater features during the melting season is not reflected in the modelled melt data. To further study the development of meltwater features, the representation of hydrological processes in climate models has to be improved.

Files

License info not available