Estimating Trend, Velocity, and Acceleration from Sea Level Records

Provides tools for analysing annual average ocean water level time series, estimating mean sea level trends, velocities, and accelerations using Singular Spectrum Analysis (SSA). The detailed methodology for resolving mean sea level with improved temporal resolution follows Watson (2018) "Improved Techniques to Estimate Mean Sea Level, Velocity and Acceleration from Long Ocean Water Level Time Series to Augment Sea Level (and Climate Change) Research" < https://unsworks.unsw.edu.au/entities/publication/5e835c87-aa0a-4457-807e-29d354e91d45>. Additional methodological developments and applications are described in Watson (2020) "Status of Mean Sea Level Rise around the USA" and Watson and Lim (2020) "An Update on the Status of Mean Sea Level Rise around the Korean Peninsula" . Includes multiple gap-filling methods for incomplete records, diagnostic tools for inspecting SSA components, and plotting functions for generating publication-quality screen and file outputs.


Reference manual

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install.packages("TrendSLR")

2.0.0 by Phil Watson, 11 hours ago


Browse source code at https://github.com/cran/TrendSLR


Authors: Phil Watson [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports changepoint, forecast, plyr, Rssa, tseries, zoo, imputeTS, stats, utils, graphics, grDevices


See at CRAN