On the estimation of physical height changes using GRACE satellite mission data – A case study of Central Europe
Divisions of PAS
The dedicated gravity satellite missions, in particular the GRACE (Gravity Recovery and Climate Experiment) mission launched in 2002, provide unique data for studying temporal variations of mass distribution in the Earth’s system, and thereby, the geometry and the gravity field changes of the Earth. The main objective of this contribution is to estimate physical height (e.g. the orthometric/normal height) changes over Central Europe using GRACE satellite mission data as well as to analyse them and model over the selected study area. Physical height changes were estimated from temporal variations of height anomalies and vertical displacements of the Earth surface being determined over the investigated area. The release 5 (RL05) GRACE-based global geopotential models as well as load Love numbers from the Preliminary Reference Earth Model (PREM) were used as input data. Analysis of the estimated physical height changes and their modelling were performed using two methods: the seasonal decomposition method and the PCA/ EOF (Principal Component Analysis/Empirical Orthogonal Function) method and the differences obtained were discussed. The main findings reveal that physical height changes over the selected study area reach up to 22.8 mm. The obtained physical height changes can be modelled with an accuracy of 1.4 mm using the seasonal decomposition method.
Dziewonski (1981), Preliminary reference model Planet https org, Earth Phys Earth Int, 25, 297, doi.org/10.1016/0031-9201(81)90046-7 ; Rangelova (2007), dynamic geoid model for University of Calgary Department of Report No, Thesis Engineering, 20261. ; Yuana (2017), Seasonal crustal vertical deformation induced by environmental mass loading in mainland China derived from GPS and surface loading models in Space https org, Advances Research, 59, doi.org/10.1016/j.asr.2016.09.008 ; Krynski (2014), of time variations of the gravity field over Europe obtained from GRACE data in terms of geoid height and mass variations In eds on the Edge for a Sustainable Planet Symposia https org, Analysis Earth Science, 139, doi.org/10.1007/978-3-642-37222-3_48 ; Wei (2006), Time Series Univariate Multivariate nd, Analysis Methods Edn Mathematics, 614. ; Barthelmes (2013), Definition of Functionals of the Geopotential and Their Calculation from Spherical Harmonic Models Theory and formulas used by the calculation service of the International Centre for Global Earth Models The GFZ series Scientific Technical Report Revised, null, 09, 02. ; Makridakis (1998), Wheelwright applications rd New York ISBN, Forecasting Methods Edition, 656. ; Geod (2007), Kusche Approximate decorrelation and non - isotropic smoothing of time variable GRACEtype gravity field models https org, null, 11, 733, doi.org/10.1007/s00190-007-0143-3 ; Dahle (2014), An Improved Time - Series of Monthly GRACE Gravity Field Solutions Observation of the System Earth from Space and future missions Tech in https org, Earth Sci, 29, doi.org/10.1007/978-3-642-32135-1 ; Tan (2016), of systematic differences from GPSmeasured and modeled deformation in Central California in Space https org, Analysis Advances Research, 1, doi.org/10.1016/j.asr.2015.08.034 ; Pan (2016), Seasonal Mass Changes and Vertical Deformations Constrained by GPS in Northeastern Tibet https org, Sensors Basel, 16, 1211. ; Tapley (2004), The gravity recovery and climate experiment : Mission overview and early results https org, Res Lett, 31, 09607, doi.org/10.1029/2004GL019920 ; Jolliffe (2002), Principal component analysis nd Ltd, Edn. ; Wang (2016), Geophysical interpretation of GPS loading deformation over western Europe using measurements of https org, Annals Geophysics, 59, doi.org/10.4401/ag-7058 ; van (2007), Dam Wahr comparison of annual vertical crustal displacements from GPS and Gravity Recovery and Climate Experiment over Europe https org, Geophys Res, 112, doi.org/10.1029/2006JB004335 ; Geod (null), gravity solutions by their validation using a hydrological model https org, null, 903. ; Springer (2017), Evaluation of the Water Cycle in the European Reanalysis Using Water https org, null, 9, 289, doi.org/10.3390/w9040289 ; Schrama (2005), Kusche Surface mass redistribution inversion from global GPS deformation and Gravity Recovery and Climate Experiment gravity data https org, Geophys Res, 110, doi.org/10.1029/2004JB003556 ; Kusche (2009), time variable, null. ; Godah (2017), On the analysis of temporal geoid height variations obtained from GRACE - based GGMs over the area of https org, Acta, 713, doi.org/10.1007/s11600-017-0064-3 ; Barthelmes (2016), International Centre for Global Models In eds The Handbook https org, Earth, 1177. ; Rangelova (2010), Implementing a dynamic geoid as a vertical datum for orthometric heights in In ed Gravity Observation Commission Gravity Field Symposia https org, Earth, 135, doi.org/10.1007/978-3-642-10634-7_38 ; Eriksson (2014), Continental hydrology loading observed by VLBI measurements https org, null, 675, doi.org/10.1007/s00190-014-0713-0 ; Rangelova (2008), Contributions of terrestrial and GRACE data to the study of the secular geoid changes in North America https org, Geodyn, 46, 131, doi.org/10.1016/j.jog.2008.03.006 ; Wang (2012), Load numbers and Green s functions for elastic Earth models iasp ak and modifi ed models with refined crustal structure from Crust Computers https org, Geosciences, 2, 91. ; Watkins (null), Improved methods for observing Earth s time variable mass distribution with GRACE using spherical cap mascons https org, Geophys Res Solid Earth, 2015, doi.org/10.1002/2014JB011547 ; Wouters (2014), Wahr time - varying gravity Earth system dynamics and climate change https org, Rep Prog Phys, doi.org/10.1088/0034-4885/77/11/116801