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Progress and future directions in constraining uncertainties in sea-level projections using observations

  • Denis Felikson
  • , David R. Rounce
  • , John Fasullo
  • , Angelica Rodriguez
  • , Surendra Adhikari
  • , Brett Buzzanga
  • , Sönke Dangendorf
  • , Robert E. Kopp
  • , Richard B. Lammers
  • , J. T. Reager
  • , Doug Brinkerhoff
  • , Beata Csatho
  • , Manuela Girotto
  • , Benjamin Hamlington
  • , Erik R. Ivins
  • , Praveen Kumar
  • , Eric Larour
  • , R. Steven Nerem
  • , Sophie Nowicki
  • , Nicole Jeanne Schlegel
  • Jan Erik Tesdal, Matthew Weathers
  • NASA Goddard Space Flight Center
  • Carnegie Mellon University
  • National Center for Atmospheric Research
  • California Institute of Technology
  • University of California at Los Angeles
  • Tulane University
  • Rutgers - The State University of New Jersey, New Brunswick
  • University of New Hampshire
  • SUNY Buffalo
  • University of California at Berkeley
  • University of Colorado Boulder
  • National Oceanic and Atmospheric Administration
  • Princeton University

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Coastal planning, mitigation and adaptation efforts rely on credible sea-level projections generated by physical models. However, the large uncertainties in these projections pose a challenge for policymakers. Here we provide an overview of the main sources of uncertainty in model projections of sea-level change on multi-decadal to centennial timescales and we offer perspectives on the use of observations to narrow uncertainties. We propose several directions for future research, including improvements in emerging emulation techniques, more systematic quantification of uncertainty structure within both observations and models, lengthening observational records of processes, and expanding collaborations across physical and social sciences. Advancements in these areas are urgently needed, as the next phase of the Intergovernmental Panel on Climate Change assessment cycle gets underway.

Original languageEnglish
Pages (from-to)1039-1051
Number of pages13
JournalNature Climate Change
Volume15
Early online dateSep 19 2025
DOIs
StatePublished - Sep 19 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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