Abstract. Sea level difference (Topex-Poseidon minus tide gauge) time series have been computed over 1993-1997 at 53 selected gauges sites. Comparison of these sea level differences with vertical crustal motions derived from the DORIS space geodesy system at 6 colocated sites shows good consistency. At one site (the Socorro volcanic island), a striking correlation is reported between sea level differences and DORIS height time series. The observed trend likely reflects a post eruptive deformation associated with a volcanic eruption that occurred in early 1993. At several other gauge sites, the sea level differences present large linear trends possibly bearing evidence of land motion. This may be the case at Rabaul (Papua New Guinea) where a volcanic eruption took place in autumn of 1994. The sea level differences at Rabaul show a negative trend from this date, likely related to the volcanic event.
[1] We present observed seasonal and interannual geocenter motion over 1993-1999 based on laser data on the LAGEOS-1, LAGEOS-2, and Topex/Poseidon (T/P) satellites as well as Doppler orbitography and radiopositioning integrated by satellite (DORIS) data from T/P. The amplitude and the phase of the space geodesy-derived seasonal cycles for each coordinate are further compared to the estimates based on surface mass redistribution on the Earth surface derived from various climatic data sources: surface pressure, soil moisture, snow depth, and ocean mass variations. Geodesy and climatic data present good agreement in terms of seasonal, still not for interannual, geocenter motion.
Abstract. Temporal variations of surface mass redistribution among atmosphere, oceans, and continental water reservoirs deform the Earth' s crust, in particular in the vertical direction. These displacements can now be measured by space geodesy and predicted from climatic loading data. In this study we first compute globally theoretical vertical displacements of the Earth's crust caused by the main annual surface mass redistributions (atmosphere and ocean mass, soil moisture, and snow load). For that purpose we consider atmospheric pressure data from the National Centers for Environment Prediction (NCEP), soil moisture data from Huang et al. [ 1996] and from the Global Soil Wetness Project (GSWP), snow data from the International Satellite and Surface Climatology Project
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.