The effects of time-varying observation errors on semi-empirical sea-level projections
Abstract
Sea-level rise is a key driver of projected flooding risks. The design of strategies to manage these risks often hinges on projections that inform decision-makers about the surrounding uncertainties. Producing semi-empirical sea-level projections is difficult, for example, due to the complexity of the error structure of the observations, such as time-varying (heteroskedastic) observation errors and autocorrelation of the data-model residuals....
Paper Details
Title
The effects of time-varying observation errors on semi-empirical sea-level projections
Published Date
Nov 30, 2016
Journal
Volume
140
Issue
3-4
Pages
349 - 360
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