Abstract

In this paper, we compare the efficiency of two models to estimate the surface displacements due to continental water storage (CWS) variations over continental North America. The first model, the monthly North America Land Data Assimilation System Phase 2 Noah (NLDAS-2 Noah) is a model of CWS restricted to North America. The second data set, the Global Land Data Assimilation System Noah (GLDAS Noah), is global. To compare the models, we use coordinate time series from GPS stations within the Plate Boundary Observatory (PBO). We find that the NLDAS-2 Noah CWS estimates of vertical surface displacements are correlated with PBO height coordinate time series with an average correlation of 0.4. Of the selected 986 PBO stations, stations with their weighted root mean square (WRMS) reduced after removing the surface displacements predicted using NLDAS-2 Noah surface mass, account for 13%, 27% and 56% for the north, east and up components respectively. The highest reductions in scatter occur on coordinate time series from stations in the mountains.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call