Quality Evaluation of GOCE Gradients

Müller, Jürgen; Jarecki, F.; Wolf, Insa M. A.; Brieden, Phillip

doi:10.1007/978-3-642-10228-8_21

Cited by 5 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this way the total amount of data is decreased insignificantly. GOCE data EGG_NOM_2 do not have a Gaussean white noise and are limited in MBW bandwidth usually from 5 mHz to 100 mHz in the GRF system [Müller et. al.…”

Section: Data Pre-processingmentioning

confidence: 99%

Gravity field models derived from the second degree radial derivatives of the GOCE mission: a case study

Marchenko

Marchenko²,

Lopushansky

2017

Annals of Geophysics

View full text Add to dashboard Cite

The GOCE satellite mission is one of the main achievements of the satellite geodesy for the Earth’s gravitational field recovery. Three different approaches have been developed for the estimation of harmonic coefficients from gradiometry data measured on board of GOCE-satellite. In this paper a special version of the space-wise method based on the second method of Neumann for fast determination of the harmonic coefficients Cnm, Snm of the Earth’s gravitational potential is given based on the radial gravity gradients of the EGG_TRF_2 product, except of two polar gaps filled by radial gradients from the EGM2008 gravity model. In the pre-processing stage GOCE-based second degree radial derivatives were averaged to the regular grid through Kalman static filter with additional Gaussean smoothing of residual radial derivatives. All computations are made by iterations. As the first step the determination of the preliminary NULP-01S model up to degree/order 220 derived from the Gaussean grid of the GOCE radial derivatives with respect to the WGS-84 reference field was developed based only one of the radial gradients EGG_TRF_2 in the EFRF-frame. In the second iteration the same algorithm is applied to build the NULP-02S gravity field model up to degree/order 250 using the same Gaussean grid with respect to the NULP-01S reference field. The NULP-02S model was verified by means of applying various approaches for the construction of the gridded gravity anomalies and geoid heights in the Black sea area using processing of datasets from six altimetry satellite missions. Comparison of different models with GNSS-levelling data in the USA area demonstrates the independent verification of achieved accuracy of the constructed NULP-02S Earth’s gravity field model.

show abstract

Section: Data Pre-processingmentioning

confidence: 99%

Gravity field models derived from the second degree radial derivatives of the GOCE mission: a case study

Marchenko

Marchenko²,

Lopushansky

2017

Annals of Geophysics

View full text Add to dashboard Cite

show abstract

“…A detailed explanation of the procedure of refe rence gradient determination and the reference gradient approach can be found in [2], [6] and [7].…”

Section: The Reference Gradient Methodsmentioning

confidence: 99%

“…A detailed description of the procedure of cross-over analysis and its application for validating GOCE gravity gradients is given in [2], [3], [4] and [6].…”

Section: The Xo Methodsmentioning

confidence: 99%

Quality Assessment of GOCE Gradients

Jarecki

Wolf

Denker

et al.

Observation of the Earth System From Space

Self Cite

View full text Add to dashboard Cite

The first ESA Earth Explorer Core Mission GOCE (Gravity Field and Steady-State Ocean Circulation Explorer) entered the operational measurement phase in September 2009. Before gravity field processing, the quality of the GOCE gradients in the measurement bandwidth (5-100 mHz), MBW, has to be assessed. Here, two procedures have been developed in Hanover, the mutual comparison and analysis of observed gradients in satellite track crossovers and the application of terrestrial gravity data which are upward continued and transformed into reference gradients for the GOCE gradiometer measurements. First the gravity gradients are filtered, where the longer wavelength signals below the MBW are replaced by global geopotential model (GPM) information. The filtered time series is used as input signal for both validation methods. 1

show abstract

Cross-Overs Assess Quality of GOCE Gradients

Brieden

Müller

2013

Advanced Technologies in Earth Sciences

View full text Add to dashboard Cite

Quality Evaluation of GOCE Gradients

Cited by 5 publications

References 7 publications

Gravity field models derived from the second degree radial derivatives of the GOCE mission: a case study

Gravity field models derived from the second degree radial derivatives of the GOCE mission: a case study

Quality Assessment of GOCE Gradients

Cross-Overs Assess Quality of GOCE Gradients

Contact Info

Product

Resources

About