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

Ni, Shengnan; Chen, Jianli; Wilson, Clark R.; Hu, Xiaogong

doi:10.3390/rs9080842

Cited by 29 publications

(17 citation statements)

References 38 publications

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“…Guri and Tucurui Reservoir in South America. In other surface water bodies, such as the artificial reservoir Lake Volta, the time series is dominated by a strong inter-annual signal (Ni et al 2017), which does not show up prominently in Fig. 4, but is very much visible in the total temporal variability shown in Fig.…”

Section: Lake and Reservoir Correction: Recog-lrmentioning

confidence: 93%

“…Individual time series have been created e.g. by Singh et al (2015) for Lake Mead and Aral Sea and Ni et al (2017) and Ghansah et al (2016) for Lake Volta. Regional (Zhang et al, 2014) or global investigations (Busker et al (2019); Semmelroth (2019)) show that adequate results for lake water volume are best obtained by a linear regression model with an error between 3% and 15%.…”

Section: Limitationsmentioning

confidence: 99%

“…Tseng et al (2016) determined mass changes in two Tibetan lakes combining altimetry, remote sensing and GRACE estimates and Zhang et al (2017) estimated water volume changes for 96% of the lake area on the Tibetan plateau by combining an average of ICESat-derived elevation changes from a number of larger lakes with Landsat lake area changes for smaller lakes. Ni et al (2017) removed leakage error in GRACE estimates over Lake Volta basin in Ghana using constrained forward-modelling. All these studies represent regional test cases but a global assessment of the influence of surface water body mass change on GRACE data is missing.…”

Section: Introductionmentioning

confidence: 99%

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RECOG RL01: Correcting GRACE total water storage estimates for global lakes/reservoirs and earthquakes

Deggim¹,

Eicker²,

Schawohl³

et al. 2020

Preprint

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Abstract. Observations of changes in terrestrial water storage obtained from the satellite mission GRACE (Gravity Recovery and Climate Experiment) have frequently been used for water cycle studies and for the improvement of hydrological models by means of calibration and data assimilation. However, due to a low spatial resolution of the gravity field models spatially localized water storage changes, such as those occurring in lakes and reservoirs, cannot properly be represented in the GRACE estimates. As surface storage changes can represent a large part of total water storage, this leads to leakage effects and results in surface water signals becoming erroneously assimilated into other water storage compartments of neighboring model grid cells. As a consequence, a simple mass balance at grid/regional scale is not sufficient to deconvolve the impact of surface water on TWS. Furthermore, non-hydrology related phenomena contained in the GRACE time series, such as the mass redistribution caused by major earthquakes, hamper the use of GRACE for hydrological studies in affected regions. In this paper, we present the first release (RL01) of the global correction product RECOG (REgional COrrections for GRACE), which accounts for both the surface water (lakes & reservoirs, RECOG-LR) and earthquake effects (RECOG-EQ). RECOG-LR is computed from forward-modelling surface water volume estimates derived from satellite altimetry and (optical) remote sensing and allows both a removal of these signals from GRACE and a re-location of the mass change to its origin within the outline of the lakes/reservoirs. The earthquake correction RECOG-EQ includes both the co-seismic and post-seismic signals of two major earthquakes with magnitudes above 9 Mw. We can show that applying the correction dataset (1) reduces the GRACE signal variability by up to 75 % around major lakes and explains a large part of GRACE seasonal variations and trends, (2) avoids the introduction of spurious trends caused by leakage signals of nearby lakes when calibrating/assimilating hydrological models with GRACE, even in neighboring river basins, and (3) enables a clearer detection of hydrological droughts in areas affected by earthquakes. A first validation of the corrected GRACE time series using GPS-derived vertical station displacements shows a consistent improvement of the fit between GRACE and GNSS after applying the correction. Data are made available as open access via the Pangea database (RECOG-LR: Deggim et al. (2020a) https://doi.org/10.1594/PANGAEA.921851; RECOG-EQ: Gerdener et al. (2020b, under revision), https://doi.pangaea.de/10.1594/PANGAEA.921923).

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Section: Lake and Reservoir Correction: Recog-lrmentioning

confidence: 93%

Section: Limitationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

RECOG RL01: Correcting GRACE total water storage estimates for global lakes/reservoirs and earthquakes

Deggim¹,

Eicker²,

Schawohl³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Since 2002 measurements of time-variable gravity obtained from the twin-satellite mission GRACE (Gravity Recovery and Climate Experiment; Tapley et al, 2004) and its successor mission GRACE-Follow-On (GRACE-FO;Flechtner et al, 2016;Kornfeld et al, 2019) have allowed for the determination of column-integrated terrestrial water storage (TWS) changes on a global scale with uniform data coverage (e.g. Pail et al, 2015). However, several challenges are involved with using GRACE for improving hydrological models, among them (1) the low spatial resolution of GRACE, integrating spatially over regions as large as ∼ 200 000 km 2 and hampering the representation of concentrated and subscale water storage changes, and (2) the fact that gravity observations also contain non-hydrology-related mass variations.…”

Section: Introductionmentioning

confidence: 99%

RECOG RL01: correcting GRACE total water storage estimates for global lakes/reservoirs and earthquakes

Deggim

Eicker

Schawohl

et al. 2021

Earth Syst. Sci. Data

View full text Add to dashboard Cite

Abstract. Observations of changes in terrestrial water storage (TWS) obtained from the satellite mission GRACE (Gravity Recovery and Climate Experiment) have frequently been used for water cycle studies and for the improvement of hydrological models by means of calibration and data assimilation. However, due to a low spatial resolution of the gravity field models, spatially localized water storage changes, such as those occurring in lakes and reservoirs, cannot properly be represented in the GRACE estimates. As surface storage changes can represent a large part of total water storage, this leads to leakage effects and results in surface water signals becoming erroneously assimilated into other water storage compartments of neighbouring model grid cells. As a consequence, a simple mass balance at grid/regional scale is not sufficient to deconvolve the impact of surface water on TWS. Furthermore, non-hydrology-related phenomena contained in the GRACE time series, such as the mass redistribution caused by major earthquakes, hamper the use of GRACE for hydrological studies in affected regions. In this paper, we present the first release (RL01) of the global correction product RECOG (REgional COrrections for GRACE), which accounts for both the surface water (lakes and reservoirs, RECOG-LR) and earthquake effects (RECOG-EQ). RECOG-LR is computed from forward-modelling surface water volume estimates derived from satellite altimetry and (optical) remote sensing and allows both a removal of these signals from GRACE and a relocation of the mass change to its origin within the outline of the lakes/reservoirs. The earthquake correction, RECOG-EQ, includes both the co-seismic and post-seismic signals of two major earthquakes with magnitudes above Mw9. We discuss that applying the correction dataset (1) reduces the GRACE signal variability by up to 75 % around major lakes and explains a large part of GRACE seasonal variations and trends, (2) avoids the introduction of spurious trends caused by leakage signals of nearby lakes when calibrating/assimilating hydrological models with GRACE, and (3) enables a clearer detection of hydrological droughts in areas affected by earthquakes. A first validation of the corrected GRACE time series using GPS-derived vertical station displacements shows a consistent improvement of the fit between GRACE and GNSS after applying the correction. Data are made available on an open-access basis via the Pangaea database (RECOG-LR: Deggim et al., 2020a, https://doi.org/10.1594/PANGAEA.921851; RECOG-EQ: Gerdener et al., 2020b, https://doi.org/10.1594/PANGAEA.921923).

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“…Remote sensing from optical and active sensor systems, such as the Landsat, SPOT, MODIS, MERIS, AVHRR, and such as ERS, ENVISAT, J-ERS, PALSAR RADARSAT, COSMO SKYMED, and the TerraSAR-X, have been proven effective in monitoring the change of flooding and inundation conditions from global to local environments [9][10][11][12][13][14][15][16][17][18][19][20]. Satellite altimetry sensors have been applied in monitoring water extents, heights, and flows [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36]. Rapid developments of remote sensing capacities have expanded their applications into ecological, hydrological, geomorphological, and societal interests in inundated situations [37][38][39].…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing of Floodpath Lakes and Wetlands: A Challenging Frontier in the Monitoring of Changing Environments

Wang

2018

Remote Sensing

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Monitoring of changing lake and wetland environments has long been among the primary focus of scientific investigation, technology innovation, management practice, and decision-making analysis. Floodpath lakes and wetlands are the lakes and associated wetlands affected by seasonal variations of water level and water surface area. Floodpath lakes and wetlands are, in particular, sensitive to natural and anthropogenic impacts, such as climate change, human-induced intervention on hydrological regimes, and land use and land cover change. Rapid developments of remote sensing science and technologies, provide immense opportunities and capacities to improve our understanding of the changing lake and wetland environments. This special issue on Remote Sensing of Floodpath Lakes and Wetlands comprise featured articles reporting the latest innovative research and reflects the advancement in remote sensing applications on the theme topic. In this editorial paper, we review research developments using state-of-the-art remote sensing technologies for monitoring dynamics of floodpath lakes and wetlands; discuss challenges of remote sensing in inventory, monitoring, management, and governance of floodpath lakes and wetlands; and summarize the highlights of the articles published in this special issue.

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

Cited by 29 publications

References 38 publications

RECOG RL01: Correcting GRACE total water storage estimates for global lakes/reservoirs and earthquakes

RECOG RL01: Correcting GRACE total water storage estimates for global lakes/reservoirs and earthquakes

RECOG RL01: correcting GRACE total water storage estimates for global lakes/reservoirs and earthquakes

Remote Sensing of Floodpath Lakes and Wetlands: A Challenging Frontier in the Monitoring of Changing Environments

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