Estimating Greenland's present and future ice thickness using inverse modeling and high-resolution satellite data

With this project we aim to generate new bed height and thickness maps for the Greenland ice sheet, and to simulate the evolution of the ice sheet up to 2300

Details

  • Period: 2025-04-01 – 2029-03-31
  • Budget: 4,950,544 SEK
  • Funder: Swedish National Space Agency
  • Type of funding: Project Grant

Beskrivning

The three main aims in this project are to

1) construct a new emulator of the higher-order physics version of the Parallel Ice Sheet Model (PISM),
2) generate a present-day thickness and bed map of the Greenland Ice Sheet, and
3) simulate the future mass loss and contribution of the Greenland Ice Sheet to sea level rise up to 2300.
A novel, fast and versatile inverse approach, developed with support in a previous SNSA-funded project (dnr 189/18; 2018-2023), will be used. After recent applications on mountain glaciers across the Arctic and sub-Arctic, is now optimized for use on the larger Greenland Ice Sheet, while making optimal use of the newest high-resolution satellite data products.
This ultimately allows for modelling the present and future of the ice sheet with unprecedented spatial detail and reduced model uncertainty, thereby contributing to reduced uncertainty in sea level rise predictions for a range of future emission scenarios. The high speed of the emulator enables us to perform experiments with numerous different parameter settings, which enables better calibration of the inverse method, as well as uncertainty quantification of present-day and future thickness maps.

Univ. of Oslo, Mid Sweden Univ., Danish Meteorological Institute

Project members

Project leader: Ward van Pelt
Co-investigators: Alice Furlotti, Katrin Lindbäck, Rickard Pettersson, Regine Hock

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