Decorrelated GRACE time-variable gravity solutions by GFZ, and their validation using a hydrological model

Kusche, Jürgen; Schmidt, Roland; Petrović, Svetozar; Rietbroek, Roelof

doi:10.1007/s00190-009-0308-3

Cited by 336 publications

(296 citation statements)

References 19 publications

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“…The degree-1 coefficients are added following the method of Bergmann-Wolf et al (2014). The non-isotropic filter DDK2 corresponding to an isotropic Gaussian filter with 680 km full width half maximum (Kusche, 2007;Kusche et al, 2009) is applied to remove correlated errors at particular higher degrees of the spherical harmonic expansion. In order to account for signal attenuation and leakage caused by smoothing and filtering, local re-scaling factors are introduced for each grid cell.…”

Section: Tws Estimates From Gracementioning

confidence: 99%

Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations

Zhang

Dobslaw

Stacke

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Estimates of terrestrial water storage (TWS) variations from the Gravity Recovery and Climate Experiment (GRACE) satellite mission are used to assess the accuracy of four global numerical model realizations that simulate the continental branch of the global water cycle. Based on four different validation metrics, we demonstrate that for the 31 largest discharge basins worldwide all model runs agree with the observations to a very limited degree only, together with large spreads among the models themselves. Since we apply a common atmospheric forcing data set to all hydrological models considered, we conclude that those discrepancies are not entirely related to uncertainties in meteorologic input, but instead to the model structure and parametrization, and in particular to the representation of individual storage components with different spatial characteristics in each of the models. TWS as monitored by the GRACE mission is therefore a valuable validation data set for global numerical simulations of the terrestrial water storage since it is sensitive to very different model physics in individual basins, which offers helpful insight to modellers for the future improvement of large-scale numerical models of the global terrestrial water cycle.

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Section: Tws Estimates From Gracementioning

confidence: 99%

Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations

Zhang

Dobslaw

Stacke

et al. 2017

Hydrol. Earth Syst. Sci.

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show abstract

“…by applying the 700-km Gaussian filter) leads to unsatisfactory results: the solutions in that case suffered from artefacts elongated in the north-south direction due to a poor sensitivity of the GRACE mission in the cross-track direction (not shown). In addition, we consider the GRACE gravity product release 5 (RL05), generated by the University of Texas at Austin's Center of Space Research (CSR, Bettadpur 2012) and post-processed by the DDK5 filter (Kusche et al 2009). To ensure a consistency with the DMT and the GPS-based solutions, DGM-1S is first subtracted from the monthly CSR solutions.…”

Section: Analysis In the Spatial Domain In Terms Of Mass Anomaliesmentioning

confidence: 99%

Earth’s gravity field modelling based on satellite accelerations derived from onboard GPS phase measurements

Guo

Ditmar

Zhao

et al. 2017

J Geod

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GPS data collected by satellite gravity missions can be used for extracting the long-wavelength part of the Earth's gravity field. We propose a new data processing method which makes use of the 'average acceleration' approach to gravity field modelling. In this method, satellite accelerations are directly derived from GPS carrier phase measurements with an epoch-differenced scheme. As a result, no ambiguity solutions are needed and the systematic errors that do not change much from epoch to epoch are largely eliminated. The GPS data collected by the Gravity Field and Steady-State Ocean Circulation Explorer (GOCE) satellite mission are used to demonstrate the added value of the proposed method. An analysis of the residual accelerations shows that accelerations derived in this way are more precise, with noise being reduced by about 20 and 5% at the cross-track component and the other two components, respectively, as compared to those based on kinematic orbits. The accelerations obtained in this way allow the recovery of the gravity field to a slightly higher maximum degree compared to the solution based on kinematic orbits. Furthermore, the gravity field solution has an overall better performance. Errors in spherical harmonic coefficients are smaller, especially at low degrees. The cumulative geoid height error is reduced by about 15 and 5% up to degree 50 and 150, respectively. An analysis in the spatial domain shows that large errors along the geomagnetic equator, which are caused by a high electron density coupled with large short-term variations, are substantially reduced. Finally, the new method allows for a better observation of mass transport signals. In particular, sufficiently realistic signatures of regional mass anomalies in North America and south-west Africa are obtained.

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“…Gaussian smoothing) or anisotropic [e.g. Swenson and Wahr filter (2006), DDK (Kusche et al 2009)]. The selected filter (DDK2 in the following) has to be applied during the spherical harmonic synthesis.…”

Section: M Pa C T O N G R a C E G R Av I T Y F I E L D D E T E R M mentioning

confidence: 99%

Correction of inconsistencies in ECMWF's operational analysis data during de-aliasing of GRACE gravity models

Fagiolini¹,

Flechtner²,

Horwath³

et al. 2015

Geophys. J. Int.

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Decorrelated GRACE time-variable gravity solutions by GFZ, and their validation using a hydrological model

Cited by 336 publications

References 19 publications

Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations

Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations

Earth’s gravity field modelling based on satellite accelerations derived from onboard GPS phase measurements

Correction of inconsistencies in ECMWF's operational analysis data during de-aliasing of GRACE gravity models

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