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Influence of very large spatial heterogeneity on estimates of sea-level trends

Author

Listed:
  • Shapoval, A.
  • Mouël, J.-L. Le
  • Courtillot, V.
  • Shnirman, M.

Abstract

We propose a new method to estimate sub-decadal to centennial time scales of sea-level change. Since the coastal data exhibit large spatial heterogeneity and temporal variability, the global sea-level rate is estimated as an appropriate average of the rates observed at available locations and computed with sliding windows. We claim that under such heterogeneity the median serves as a better representative of an adequate average than the mean. With this approach, the sea-level rate in 60 to 70 yr windows over the past century is found to be smaller than 1.7-1.9 mm/yr. These upper estimates are in line with those obtained with a scarce list of available long quasi-gapless series.

Suggested Citation

  • Shapoval, A. & Mouël, J.-L. Le & Courtillot, V. & Shnirman, M., 2020. "Influence of very large spatial heterogeneity on estimates of sea-level trends," Applied Mathematics and Computation, Elsevier, vol. 386(C).
    • Handle: RePEc:eee:apmaco:v:386:y:2020:i:c:s0096300320304446
    DOI: 10.1016/j.amc.2020.125485
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    References listed on IDEAS

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    1. A. Slangen & M. Carson & C. Katsman & R. van de Wal & A. Köhl & L. Vermeersen & D. Stammer, 2014. "Projecting twenty-first century regional sea-level changes," Climatic Change, Springer, vol. 124(1), pages 317-332, May.
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