Mass-Change Acceleration in Antarctica from GRACE Monthly Gravity Field Solutions

Földváry, Lóránt

doi:10.1007/978-3-642-20338-1_72

Cited by 8 publications

(5 citation statements)

References 9 publications

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“…Recent surface mass balance estimates suggest accumulation at high interior elevation and fast melting at low elevations. We test these suggestions by a comparison with the elevations and slope aspects from the Digital Elevation Model (DEM) (GLAS/ICESat 1-km laser altimetry DEM) (DiMarzio et al 2007), c.f. Fig.…”

Section: Resultsmentioning

confidence: 99%

Seasonal variation analysis of Greenland ice mass time-series

2017

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We derive the mass balance of Greenland ice sheet from the Gravity Recovery and Climate Experiment (GRACE) for the period January 2003-October 2014. We have found an ice mass loss with peak amplitude of-15 cm/yr in the southeastern and northwestern parts, and an acceleration of-2.5 cm/yr 2 in the southwestern region. Global warming is a wellknown suspected triggering factor of ice melting. We use MODIS-derived Ice Surface Temperature (IST), and continuous and cross wavelet transforms have been determined to investigate the common power and relative phase between GRACE derived time-series of ice mass changes and IST time-series. Results indicate a high common power between the two time-series for the whole study period, but with different time patterns.

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Section: Resultsmentioning

confidence: 99%

Seasonal variation analysis of Greenland ice mass time-series

2017

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“…Seasonal mass variations (annual and semi-annual) of the Earth, which are capable by the GRACE monthly solutions are contributed by atmospheric, hydrologic, cryospheric and oceanographic masses [Ilk et al, 2005]. Accordingly, the GRACE monthly models can efficiently be applied for investigation of seasonal periodical processes over large areas, such as oceanic transport process [Chambers et al, 2004;Chen et al, 2019] or hydrological processes [Andersen et al, 2008;Kiss, Földváry, 2017a], and also for long periodic or secular mass variation, such as crustal motions [Wang et al, 2019] or ice mass balance variations [Shum et al, 2008;Földváry, 2012;Kiss, Földváry, 2017b].…”

Section: Materials and Methods Of Researchesmentioning

confidence: 99%

Applicability of GRACE and GRACE-FO for monitoring water mass changes of the Aral Sea and the Caspian Sea

Földváry

Statov

Mamutov

2020

ICIGIS

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The GRACE gravity satellite mission has provided monthly gravity field solutions for about 15 years enabling a unique opportunity to monitor large scale mass variation processes. By the end of the GRACE, the GRACE-FO mission was launched in order to continue the time series of monthly gravity fields. The two missions are similar in most aspects apart from the improved intersatellite range rate measurements, which is performed with lasers in addition to microwaves. An obvious demand for the geoscientific applications of the monthly gravity field models is to understand the consistency of the models provided by the two missions. This study provides a case-study related consistency investigation of GRACE and GRACE-FO monthly solutions for the Aral Sea region. As the closeness of the Caspian Sea may influence the monthly mass variations of the Aral Sea, it has also been involved in the investigations. According to the results, GRACE-FO models seem to continue the mass variations of the GRACE period properly, therefore their use jointly with GRACE is suggested. Based on the justified characteristics of the gravity anomaly by water volume variations in the case of the Aral Sea, GRACE models for the period March–June 2017 are suggested to be neglected. Though the correlation between water volume and monthly gravity field variations is convincing in the case of the Aral Sea, no such a correlation for the Caspian Sea could have been detected, which suggests to be the consequence of other mass varying processes, may be related to the seismicity of the Caspian Sea area.

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“…The time series of monthly mass changes are fitted with the terms of bias, trend and other periodical terms as follows (Földváry, 2012),…”

Section: Mass Change Analysis Of Antarctic Ice Sheet Based On Noise-r...mentioning

confidence: 99%

A decorrelation filter based on the full error covariance of GRACE gravity field solutions

Ju¹

2023

Acta Geodynamica Et Geomaterialia

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We propose a decorrelation filter (noise-reduction filter) constructed by using the full error covariance matrix information of the spherical harmonic solutions derived from the observations of the Gravity Recovery and Climate Experiment (GRACE) mission. To construct the noisereduction filter, the filter factors are inversely proportional to the eigenvalues of the covariance matrix. Using the designed noise-reduction filter, we can significantly reduce the north-south stripes in monthly GRACE gravity field solutions. Our study shows that the noise-reduction filter can achieve higher signal-to-noise ratio as compared to other filtering methods under consideration, i.e., P3M8 and P4M6 as well as Gaussian smoothing. Using the noise-reduction filter, the estimated mass rates over the entire Antarctica, East Antarctica and West Antarctica (including the Antarctica Peninsula) are -107.38±41.06 Gt/yr, 36.42±14.40 Gt/yr and -147.45±16.78 Gt/yr respectively, consistent with the results from the P3M8 filter and P4M6 combined with Gaussian filter.

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Mass-Change Acceleration in Antarctica from GRACE Monthly Gravity Field Solutions

Cited by 8 publications

References 9 publications

Seasonal variation analysis of Greenland ice mass time-series

Seasonal variation analysis of Greenland ice mass time-series

Applicability of GRACE and GRACE-FO for monitoring water mass changes of the Aral Sea and the Caspian Sea

A decorrelation filter based on the full error covariance of GRACE gravity field solutions

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