2017
DOI: 10.1007/1345_2017_15
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Investigation of Geoid Height Variations and Vertical Displacements of the Earth Surface in the Context of the Realization of a Modern Vertical Reference System: A Case Study for Poland

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Cited by 3 publications
(6 citation statements)
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“…The comparison between DN (PCA/EOF) and models of temporal variations of geoid heights presented in Godah et al (2017a) indicated that when using the PCA/EOF method for modelling temporal variations of geoid heights, the dispersion and the standard deviation of the differences can be reduced by 0.3-0.5 mm and 0.1-0.2 mm, respectively. Furthermore, the correlation coefficients between DN (GGM) and DN (PCA/EOF) are *1.1% higher than the corresponding ones indicated in Godah et al (2017b). This may reveal that the PCA/EOF method is slightly better than the seasonal decomposition method for modelling temporal variations of geoid heights over the area investigated.…”
Section: Modelling Of Temporal Geoid Height Variationsmentioning
confidence: 70%
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“…The comparison between DN (PCA/EOF) and models of temporal variations of geoid heights presented in Godah et al (2017a) indicated that when using the PCA/EOF method for modelling temporal variations of geoid heights, the dispersion and the standard deviation of the differences can be reduced by 0.3-0.5 mm and 0.1-0.2 mm, respectively. Furthermore, the correlation coefficients between DN (GGM) and DN (PCA/EOF) are *1.1% higher than the corresponding ones indicated in Godah et al (2017b). This may reveal that the PCA/EOF method is slightly better than the seasonal decomposition method for modelling temporal variations of geoid heights over the area investigated.…”
Section: Modelling Of Temporal Geoid Height Variationsmentioning
confidence: 70%
“…4), temporal variations of geoid heights at those gaps were interpolated using the second degree polynomial (cf. Godah et al 2017b). Time series of temporal variations of geoid heights determined with the use of GFZ RL05 GRACE-based GGMs and gaps in these series are shown in Fig.…”
Section: Data Setmentioning
confidence: 99%
“…Moreover, negative coefficients of correlation between temporal variations of hydrological masses and temporal variations of orthometric/normal heights are expected. This is because an increase in hydrological masses would result in a decrease in orthometric/normal heights (e.g., [7][8][9][10]).…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, negative coefficients of correlation between temporal variations of hydrological masses and temporal variations of orthometric/normal heights are expected. This is because an increase in hydrological masses would result in a decrease in orthometric/normal heights (e.g., [7][8][9][10]). The GRACE (Gravity Recovery and Climate Experiment [11]) satellite mission, operated in the years 2002-2017, provided unique data for the determination of temporal mass variations within the Earth system including temporal variations of hydrological masses on a global/regional scale.…”
Section: Introductionmentioning
confidence: 99%
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