Influence of very large spatial heterogeneity on estimates of sea-level trendsShapoval, Alexander (Avtor)
Le Mouël, Jean-Louis (Avtor)
Courtillot, Vincent (Avtor)
Shnirman, M. (Avtor)
sea-level risemediansliding windowstatistically significant trendWe 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 series20202021-03-16 06:04:28Neznano6344COBISS_ID: 55313923UDK: 519.2ISSN pri članku: 0096-3003DOI: 10.1016/j.amc.2020.125485NUK URN: URN:SI:UNG:REP:8FWHSWGVsl