ED037-0025
Using tide gauge and GPS data to quantify the effects of short and long-term Glacial Rebound and Adjustment on the local sea level budget of Greenland and Northeast, Canada.
Abstract:
We extended the analysis of tide gauges around Greenland and Canada by combining historical data with more recent tide gauge data hosted by PSMSL. Using ARIMA (Autoregressive Integrated Moving Average) and SARIMAX (Seasonal AutoRegressive Integrated Moving Averages with eXogenous regressors) models, we create projections for both the tide gauge and GPS datasets. These projections let us quantify the seasonality of the datasets and explore non-linear long term trends. By using an ordinary least square (OLS) linear regression method, we obtained the elevational change of GPS sites around Greenland and Canada. We then use the results of the OLS method in the GIA component of our RSL budget equation in order to calculate the RSL rate of change for Northern Greenland and Northeast Canada. We compare RSL components of two nearby GNET sites near Thule, Greenland. Comparing vertical land motion rates of a coastal site and a site at the edge of the ice sheet, reveals the relative importance of modern day elastic response to Greenland’s ice melt and longer term post-glacial rebound. Lastly, a comparison of the same Greenland sites with GPS stations and tide gauge data in Northeast Canada highlight the recent acceleration in mass loss by the Greenland Ice Sheet.