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

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摘要

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.

论文关键词:Sea-level rise,Median,Sliding window,Statistically significant trend

论文评审过程:Received 27 April 2020, Accepted 21 June 2020, Available online 6 July 2020, Version of Record 6 July 2020.

论文官网地址:https://doi.org/10.1016/j.amc.2020.125485