Influence of very large spatial heterogeneity on estimates of sea-level trends
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
2020
2021-03-16 06:04:28
1033
sea-level rise, median, sliding window, statistically significant trend
Alexander
Shapoval
70
Jean-Louis
Le Mouël
70
Vincent
Courtillot
70
M.
Shnirman
70
COBISS_ID
3
55313923
UDK
4
519.2
ISSN pri članku
9
0096-3003
DOI
15
10.1016/j.amc.2020.125485
NUK URN
18
URN:SI:UNG:REP:8FWHSWGV
Shapoval_et_al_2020_AMC.pdf
1694080
Predstavitvena datoteka
2021-03-16 06:04:59
0
Izvorni URL
2021-03-16 06:04:29