A Statistical Simulation Model for Global Mean Sea Level from Altimetry and Tide Gauge Reconstructions

Yingli Zhu (University of South Florida, United States)

CoAuthors

Gary T. Mitchum (University of South Florida, United States); Don Chambers (University of South Florida, United States); Benjamin Hamlington (University of Colorado, USA); Mark Merrifield (University of Hawaii, USA); R. Steven Nerem (University of Colorado, United States); Philip Thompson (University of Hawaii, USA)

Event: 2014 Ocean Surface Topography Science Team Meeting

Session: Quantifying Errors and Uncertainties in Altimetry data

Presentation type: Type Poster

Many of the calculations we proposed to do as part of our investigation require doing simulations in order to put proper confidence intervals on our results. Many, if not most, of our calculations are too complex to allow for classical approaches to estimating confidence intervals and we rely heavily on simulation methods (e.g., Monte Carlo). This requires careful thought about how to construct the error model that is used to generate artificial datasets for use in the simulation methods. In this presentation we will describe the model that we have developed and give details on the methods we have applied in order to derive the model. Hopefully the model and the methods will be of use to other researchers.
 
Yingli Zhu
University of South Florida
United States
mitchum@usf.edu