Different approaches have been used to compute the mean rate of 20th century global mean sea level (GMSL) rise from the available tide gauge data: computing average rates from only very long, nearly continuous records; using more numerous but shorter records and filters to separate
nonlinear trends from decadal - scale quasi-periodic variability; neural network methods; computing regional sea level for specific basins then averaging; or projecting tide gauge records onto empirical orthogonal functions (EOFs) computed from modern altimetry or EOFs from ocean models.
The EMD approach is used to extract physically meaningful modes and
nonlinear trends from nonlinear and non-stationary time series that can not be captured by a linear least - square fit.
Not exact matches
In fact, the arctic
trend from 1975 to the present is also demonstrably
nonlinear, and a linear
trend again underestimates the warming.
The arctic
trend from 1935 to 2007 is demonstrably
nonlinear — a linear
trend can easily be shown to underestimate the warming.
With a
nonlinear trend, what happened
from 1880 to 1910 is relatively less important than it would be in an analysis based on a linear
trend — Jim]