ISSM-SLPS: Geodetically compliant Sea-Level Projection System for the Ice-sheet and Sea-level System Model v4.17

Eric Larour, Lambert Caron, Mathieu Morlighem, Surendra Adhikari, Thomas Frederikse, Nicole Jeanne Schlegel, Erik Ivins, Benjamin Hamlington, Robert Kopp, Sophie Nowicki

Research output: Contribution to journalArticlepeer-review

Abstract

Understanding future impacts of sea-level rise at the local level is important for mitigating its effects. In particular, quantifying the range of sea-level rise outcomes in a probabilistic way enables coastal planners to better adapt strategies, depending on cost, timing and risk tolerance. For a time horizon of 100 years, frameworks have been developed that provide such projections by relying on sea-level fingerprints where contributions from different processes are sampled at each individual time step and summed up to create probability distributions of sea-level rise for each desired location. While advantageous, this method does not readily allow for including new physics developed in forward models of each component. For example, couplings and feedbacks between ice sheets, ocean circulation and solid-Earth uplift cannot easily be represented in such frameworks. Indeed, the main impediment to inclusion of more forward model physics in probabilistic sea-level frameworks is the availability of dynamically computed sea-level fingerprints that can be directly linked to local mass changes. Here, we demonstrate such an approach within the Ice-sheet and Sealevel System Model (ISSM), where we develop a probabilistic framework that can readily be coupled to forward process models such as those for ice sheets, glacial isostatic adjustment, hydrology and ocean circulation, among others. Through large-scale uncertainty quantification, we demonstrate how this approach enables inclusion of incremental improvements in all forward models and provides fidelity to time-correlated processes. The projection system may readily process input and output quantities that are geodetically consistent with space and terrestrial measurement systems. The approach can also account for numerous improvements in our understanding of sea-level processes.

Original languageEnglish (US)
Pages (from-to)4925-4941
Number of pages17
JournalGeoscientific Model Development
Volume13
Issue number10
DOIs
StatePublished - Oct 15 2020

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Earth and Planetary Sciences(all)

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