Monitoring mass changes in the Volta River basin using GRACE satellite gravity and TRMM precipitation

Ferreira, Vagner G.; Gong, Zheng; Andam-Akorful, Samuel A.

doi:10.1590/s1982-21702012000400003

Cited by 34 publications

(17 citation statements)

References 24 publications

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“…Yangtze, 4 Volta, 5 Nile, 6 and other river basins. Additional studies from GRACE are related to monitoring the groundwater withdrawal in India 7 and China, 8 contributions of glaciers and ice caps to sea-level rise, 9 and evaluation of naturally and anthropogenically induced variations in water availability in Africa.…”

Section: Introductionmentioning

confidence: 99%

Uncertainties of the Gravity Recovery and Climate Experiment time-variable gravity-field solutions based on three-cornered hat method

Ferreira

Castro

Yakubu

et al. 2016

J. Appl. Remote Sens

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Abstract. Currently, various satellite processing centers produce extensive data, with different solutions of the same field being available. For instance, the Gravity Recovery and Climate Experiment (GRACE) has been monitoring terrestrial water storage (TWS) since April 2002, while the Center for Space Research (CSR), the Jet Propulsion Laboratory (JPL), the GeoForschungsZentrum (GFZ), and the Groupe de Recherche de Géodésie Spatiale (GRGS) provide individual monthly solutions in the form of Stokes coefficients. The inverted TWS maps (or the regionally averaged values) from these coefficients are being used in many applications; however, as no ground truth data exist, the uncertainties are unknown. Consequently, the purpose of this work is to assess the quality of each processing center by estimating their uncertainties using a generalized formulation of the three-cornered hat (TCH) method. Overall, the TCH results for the study period of August 2002 to June 2014 indicate that at a global scale, the CSR, GFZ, GRGS, and JPL presented uncertainties of 9.4, 13.7, 14.8, and 13.2 mm, respectively. At a basin scale, the overall good performance of the CSR was observed at 91 river basins. The TCH-based results were confirmed by a comparison with an ensemble solution from the four GRACE processing centers.

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Section: Introductionmentioning

confidence: 99%

Uncertainties of the Gravity Recovery and Climate Experiment time-variable gravity-field solutions based on three-cornered hat method

Ferreira

Castro

Yakubu

et al. 2016

J. Appl. Remote Sens

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“…Equation (5) was suitable to account for the month-to-month changes of the surface of the lake. Many studies have reported the contribution of Lake Volta on the overall gain of water storage over WA [19,20,33,47,57,58]. For instance, Moore et al [47] assumed an invariant surface area in their study for Lake Volta, among other areas.…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, Forootan et al [11] employed this dataset together with sea surface temperature (SST) data for the water storage deduction of WA. Furthermore, several studies [12,19,32,33] have employed this data over WA, and Awange et al [34] reported that it performed quite well over Africa.…”

Section: Tropical Rainfall Measurement Mission Rainfall Productsmentioning

confidence: 99%

Land Water-Storage Variability over West Africa: Inferences from Space-Borne Sensors

Ferreira

Asiah

et al. 2018

Water

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Abstract:The potential of terrestrial water storage (TWS) inverted from Gravity Recovery and Climate Experiment (GRACE) measurements to investigate water variations and their response to droughts over the Volta, Niger, and Senegal Basins of West Africa was investigated. An altimetry-imagery approach was proposed to deduce the contribution of Lake Volta to TWS as "sensed" by GRACE. The results showed that from April 2002 to July 2016, Lake Volta contributed to approximately 8.8% of the water gain within the Volta Basin. As the signal spreads out far from the lake, it impacts both the Niger and Senegal Basins with 1.7% (at a significance level of 95%). This figure of 8.8% for the Volta Basin is approximately 20% of the values reported in previous works. Drought analysis based on GRACE-TWS (after removing the lake's contribution) depicted below-normal conditions prevailing from 2002 to 2008. Wavelet analysis revealed that TWS changes (fluxes) and rainfall as well as vegetation index depicted a highly coupled relationship at the semi-annual to biennial periods, with common power covariance prevailing in the annual frequencies. While acknowledging that validation of the drought occurrence and severity based on GRACE-TWS is needed, we believe that our findings shall contribute to the water management over West Africa.

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“…As a result, satellite altimetry has become a widely used tool for monitoring water level changes in large lakes, with improved data accuracy Remote Sens. 2017, 9, 842 3 of 15 and calibration algorithms [6]. However, quantification of lake storage change relies on not only accurate measurements of lake levels change, but also good knowledge of the surrounding topography and bathymetry, which are often poorly known.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, a few studies (e.g., [11,15]) have noted evidence of increasing TWS over the VRB, especially around Lake Volta. Ahmed et al [11] and Moore and Williams [13] have attributed this to the impoundment of water by Akosombo Dam.…”

Section: Introductionmentioning

confidence: 99%

Long-Term Water Storage Changes of Lake Volta from GRACE and Satellite Altimetry and Connections with Regional Climate

Chen

Wilson

et al. 2017

Remote Sensing

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Satellite gravity data from the Gravity Recovery and Climate Experiment (GRACE) provides a quantitative measure of terrestrial water storage (TWS) change at different temporal and spatial scales. In this study, we investigate the ability of GRACE to quantitatively monitor long-term hydrological characteristics over the Lake Volta region. Principal component analysis (PCA) is employed to study temporal and spatial variability of long-term TWS changes. Long-term Lake Volta water storage change appears to be the dominant long-term TWS change signal in the Volta basin. GRACE-derived TWS changes and precipitation variations compiled by the Global Precipitation Climatology Centre (GPCC) are related both temporally and spatially, but spatial leakage attenuates the magnitude of GRACE estimates, especially at small regional scales. Using constrained forward modeling, we successfully remove leakage error in GRACE estimates. After this leakage correction, GRACE-derived Lake Volta water storage changes agree remarkably well with independent estimates from satellite altimetry at interannual and longer time scales. This demonstrates the value of GRACE estimates to monitor and quantify water storage changes in lakes, especially in relatively small regions with complicated topography.

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Monitoring mass changes in the Volta River basin using GRACE satellite gravity and TRMM precipitation

Cited by 34 publications

References 24 publications

Uncertainties of the Gravity Recovery and Climate Experiment time-variable gravity-field solutions based on three-cornered hat method

Uncertainties of the Gravity Recovery and Climate Experiment time-variable gravity-field solutions based on three-cornered hat method

Land Water-Storage Variability over West Africa: Inferences from Space-Borne Sensors

Long-Term Water Storage Changes of Lake Volta from GRACE and Satellite Altimetry and Connections with Regional Climate

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