Abstract:Glacial ice mass balance of Antarctica can be observed by the twin satellites of the gravity recovery and climate experiment (GRACE). The gravity fields with monthly resolution enable efficient detection of annual, long periodic and secular variations. The present study delivers an error estimation of the long-periodic and secular variations by determining the linear trend of the observed surface mass anomaly series. Among the error sources, the error of the timing of the trend fitting, the error of the glacia… Show more
“…A GRACE küldetése során hónapról hónapra új modell meghatározására volt lehetőség, ami alapján a tömegeloszlás időbeli változásának hónapos mintavételezésű vizsgálata végezhető. Bár a hónapos adatmennyiség a nehézségi erőteret csak durva, több száz km-es felbontásban szolgáltatja, ezek kiválóak nagyobb területek éves periódusú (Kiss-Földváry 2015, 2017b és hosszú, akár több évtizedes lefolyású (Földváry-Mészáros 2009, Földváry 2012, Földváry et al 2015, Kiss-Földváry 2017a) tömegátrendeződéssel járó folyamatainak elemzésére és követésére. A GRACE-FO célja a GRACE által megkezdett hónapos idősor folytatása volt, amely (egyéves megszakítással ugyan) lehetővé teszi a vizsgált geofizikai és geodinamikai folyamatok folytatólagos követését (Földváry 2019).…”
The GRACE mission has provided monthly solutions of the gravity field in the period of 2002 to 2017, which turned to be a useful tool for monitoring large scale mass redistribution processes. In order to carry on monitoring these processes, the GRACE-FO mission started to deliver monthly solutions from the last months of 2018. The present study provides an estimate on the coherency of the GRACE and GRACE-FO monthly solutions, also provides an overview of the mass variation processes in the GRACE-FO period so far.
“…A GRACE küldetése során hónapról hónapra új modell meghatározására volt lehetőség, ami alapján a tömegeloszlás időbeli változásának hónapos mintavételezésű vizsgálata végezhető. Bár a hónapos adatmennyiség a nehézségi erőteret csak durva, több száz km-es felbontásban szolgáltatja, ezek kiválóak nagyobb területek éves periódusú (Kiss-Földváry 2015, 2017b és hosszú, akár több évtizedes lefolyású (Földváry-Mészáros 2009, Földváry 2012, Földváry et al 2015, Kiss-Földváry 2017a) tömegátrendeződéssel járó folyamatainak elemzésére és követésére. A GRACE-FO célja a GRACE által megkezdett hónapos idősor folytatása volt, amely (egyéves megszakítással ugyan) lehetővé teszi a vizsgált geofizikai és geodinamikai folyamatok folytatólagos követését (Földváry 2019).…”
The GRACE mission has provided monthly solutions of the gravity field in the period of 2002 to 2017, which turned to be a useful tool for monitoring large scale mass redistribution processes. In order to carry on monitoring these processes, the GRACE-FO mission started to deliver monthly solutions from the last months of 2018. The present study provides an estimate on the coherency of the GRACE and GRACE-FO monthly solutions, also provides an overview of the mass variation processes in the GRACE-FO period so far.
“…The accuracy and reliability of GRACE-based GWS estimation, however, are directly related to a range of errors [12]. Specifically, the raw GRACE Level-2 data products are released in a format of spherical harmonic (SH) solution.…”
The Gravity Recovery and Climate Experiment (GRACE) satellites have been widely used to estimate groundwater storage (GWS) changes, yet their uncertainties related to the multi-source datasets used are rarely investigated. This study focuses on quantifying the uncertainties of GRACE GWS estimates in mainland China during 2003–2015, by generating a total of 3456 solutions from the combinations of multiple GRACE products and auxiliary datasets. The Bayesian model averaging (BMA) approach is used to derive the optimal estimates of GWS changes under an uncertainty framework. Ten river basins are further identified to analyze the estimated annual GWS trends and uncertainty magnitudes. On average, our results show that the BMA-estimated annual GWS trend in mainland China is −1.93 mm/yr, whereas its uncertainty reaches 4.50 mm/yr. Albeit the estimated annual GWS trends and uncertainties vary across river basins, we found that the high uncertainties of annual GWS trends are tied to the large differences between multiple GRACE data and soil moisture products used in the GWS solutions. These findings highlight the importance of paying more attention to the existence of multi-source uncertainties when using GRACE data to estimate GWS changes.
“…These two missions provide a unique tool for determining the temporal variations of gravity; consequently, the mass redistribution processes that have generated the gravity changes [4]. GRACE and GRACE-FO have become essential sources of data when monitoring the variation in water fluxes over large basins (e.g., the Mediterranean Sea [5], the Arabian Peninsula [6][7][8], Niger [9], Michigan [10], the Amazonas [11][12][13], the La Plata basins [14,15], the Nubian and Nile basins [16][17][18][19][20][21]), and for the analysis of climate changes via ice mass balance [22][23][24], sea level rise [25,26], ground water storage [27][28][29][30][31], and extreme precipitation [32]. In the present study, a GRACE-and GRACE-FO-based gravity anomaly time series is determined and utilized to analyze the desiccation process of the Aral Sea.…”
The Gravity Recovery and Climate Experiment (GRACE) and its successor, the GRACE Follow-On (GRACE-FO) gravity satellite missions, have been providing monthly gravity field solutions for almost 20 years, enabling a unique opportunity to monitor large-scale mass variation processes. The gravity anomaly time series for the Aral Sea region has been obtained for the period of April 2002 to January 2022. The method of determining the gravity anomaly time series from GRACE and GRACE-FO monthly solutions has been improved by considering the mass variations of the Caspian Sea. The gravity anomaly time series was then compared to water mass changes determined by considering variations in the salinity and temperature of seawater. Nevertheless, the tests suggest that improvements in correlation with such information might occur, although the relevance of the improvement should not be overestimated. All in all, it can be demonstrated that salinity changes relevantly influence the gravity field; however, the signal is too weak to inversely obtain information from satellite-borne gravity observations on salinity variations.
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