Repository of University of Nova Gorica

Search the repository
A+ | A- | Help | SLO | ENG

Query: search in
search in
search in
search in
* old and bologna study programme

Options:
  Reset


1 - 1 / 1
First pagePrevious page1Next pageLast page
1.
Influence of very large spatial heterogeneity on estimates of sea-level trends
Alexander Shapoval, Jean-Louis Le Mouël, Vincent Courtillot, M. Shnirman, 2020, original scientific article

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
Keywords: sea-level rise, median, sliding window, statistically significant trend
Published in RUNG: 16.03.2021; Views: 1819; Downloads: 0
This document has many files! More...

Search done in 0.01 sec.
Back to top