Readers Online

Empirical Orthogonal Function Analysis of GRACE Gravity Data



PDF, ebook, epub (ePub, fb2, mobi)

The Gravity Recovery and Climate Experiment (GRACE) twin-satellite mission has been providing measurements of the time-varying gravity field of the Earth for about seven years now. Gravity changes on Earth are due to mass changes and play an important role in Earth sciences. Monthly maps of mass changes are derived from the satellite measurements and need to be interpreted. The technique of empirical orthogonal function (EOF) analysis is investigated in this thesis, and it is demonstrated the performance of EOF analysis for separating signal from noise and errors, and for identifying different sources of gravity changes in a real GRACE data set. EOF analysis is explained from a theoretical point of view and is applied to the GRACE data. In the detailed data analysis, benefits and shortcomings of the EOF method are studied and described with respect to GRACE data.






The Gravity Recovery and Climate Experiment (GRACE) twin-satellite mission has been providing measurements of the time-varying gravity field of the Earth for about seven years now. Gravity changes on Earth are due to mass changes and play an important role in Earth sciences. Monthly maps of mass changes are derived from the satellite measurements and need to be interpreted. The technique of empirical orthogonal function (EOF) analysis is investigated in this thesis, and it is demonstrated the performance of EOF analysis for separating signal from noise and errors, and for identifying different sources of gravity changes in a real GRACE data set. EOF analysis is explained from a theoretical point of view and is applied to the GRACE data. In the detailed data analysis, benefits and shortcomings of the EOF method are studied and described with respect to GRACE data.


by H Munagapati 2021 The present study attempts to exemplify the spatiotemporal variation of hydrological . The first uses a standard Gaussian smoother with a radius of 300 km. patterns that are partially. metadata.ubs.publikation.typ Abschlussarbeit Diplom. b EOF mode 1113 failing the KS2 test. Empirical orthogonal function EOF was used to process the spherical harmonic coefficient SHC of 115 Gravity Recovery and Climate Experiment GRACE RL05 monthly gravity field models from March 2003 to February 2013 released by CSR Center for Space Research.


Gravity Function

SSA in its turn is a generalization of principal component analysis PCA and consists of four stages a the formation of. We used the RL05 data provided by CSR including 115 monthly gravity field . The satellite altimetric record provides accurate measurements of sea level with nearglobal coverage but it has a relatively short time span since 1993. Managing content. In this study we apply this method to investigate earthquake signatures under the hypothesis that the gravity signals associated with them are one of the dominant EOF modes in the area. With the EOF analysis a common regional signal can be deduced from all gravity data sets. A summary in more detail could be found in Duan et al. Remote Sensing of . earthquakes glacial isostatic adjustment elastic vertical deformation. and postseismic TVG signals is the EOF analysis. EOF can decompose data into different modes and thus is useful to separate signals .


Książki elektroniczne w formacie PDF Empirical Orthogonal Function Analysis of GRACE Gravity Data PDF. E-książki do pobrania w formacie PDF .



Readers Online Links


Contact Email