Dataset. Study of seasonal mass changes and vertical crustal deformations in continental Ecuador based on GPS data and surface loading models
Description
The dataset presents the gps solutions and surface loading signals use in the study titled "Study of seasonal mass changes and vertical crustal deformations in continental Ecuador based on GPS data and surface loading models". It is compose by: used 2 types of positional solutions obtained for 47 GPS sites located in Continental Ecuador over the last 20 years. First, daily precise point positioning (PPP) solutions provided by the Nevada Geodetic Laboratory (NGL) and processed according to NGL/UNR GPS Data Analysis Strategy (Blewitt, Hammond, and Kreemer 2018), and, second, weekly solutions provided by the SIRGAS Processing Centres and processed according to the International Earth Rotation Systems Service Conventions (i.e., IERS Conventions 2010) (Petit and Luzum 2010). Three main mass distribution models have been used for this study. These are: the non-tidal atmospheric loading (NTAL), non-tidal oceanic loading (NTOL) and hydrological loading model (HYDL). Atmospheric mass loads are derived from 3-hourly non-tidal atmospheric surface pressure data given by ERA-40 (Kallberg et al. 2007) and ERA-INTERIM (Berrisford et al. 2011) models of the ECMWF (European Centre for Medium-Range Weather Forecasts). Oceanic mass loads, for its part, are derived from 3-hourly non-tidal ocean bottom pressure data given by the ocean model MPIOM (Dobslaw et al. 2017). Finally, hydrological mass loads are given from the global hydrological model LSDM with a temporal resolution of 24h (Dill 2008). Because the 3 models together do generally not conserve their global mass, a barystatic sea-level variations model is necessary (i.e., sea-level variations are not included in the oceanic contribution NTOL). For that, sea-level mass loads are derived by solving the sea-level equation for the total mass of terrestrial water storage and atmospheric surface pressure according to the procedure established by Clarke (2005). All models have been resampled on a regular 0.5° x 0.5° global grid and daily intervals to be compatible with the PPP solutions used.