A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme

Khaki, Mehdi; Forootan, Ehsan; Kühn, Michael; Awange, Joseph; Papa, Fabrice; Shum, C. K.

doi:10.1016/j.scitotenv.2017.12.289

Cited by 47 publications

(22 citation statements)

References 79 publications

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“…This 54 study is the first data assimilation attempt to integrate GRACE TWS into the World-Wide In addition, by applying data assimilation, we 67 will likely be able to reliably separate GRACE TWS data into different water compartments 68 since both model and observation errors are considered. Considering that the spatial resolution 69 of models is usually better than GRACE data, through the assimilation procedure, GRACE 70 observations are downscaled, and therefore, higher resolution estimations of water storages will 71 be available within the country (see also Schumacher et al, 2016;Khaki et al, 2018a). the study area is divided into six major areas: the eastern part of Iran (indicated by East),…”

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confidence: 99%

Determining water storage depletion within Iran by assimilating GRACE data into the W3RA hydrological model

Khaki

Forootan

Kühn

et al. 2018

Advances in Water Resources

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Link to publication record in Explore Bristol Research PDF-document This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Elsevier at https://www.sciencedirect.com/science/article/pii/S0309170817306322?via%3Dihub#! . Please refer to any applicable terms of use of the publisher. University of Bristol -Explore Bristol Research General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.ACCEPTED MANUSCRIPT A C C E P T E D M A N U S C R I P T Highlights• We assimilate GRACE data to improve a hydrological model estimations over Iran• Ensemble Square-Root Filter is used for data assimilation• We estimate sub-surface water storage changes within the country• Climate and anthropogenic impacts on the water storages are investigated• Independent in-situ measurements are used to evaluate the results 1 ACCEPTED MANUSCRIPT A C C E P T E D M A N U S C R I P T AbstractGroundwater depletion, due to both unsustainable water use and a decrease in precipitation, has

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confidence: 99%

Determining water storage depletion within Iran by assimilating GRACE data into the W3RA hydrological model

Khaki

Forootan

Kühn

et al. 2018

Advances in Water Resources

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“…Their results indicate that incorporating GRACE data's full covariance matrices results in more realistic groundwater estimations. Recently, Khaki et al [86,87] applied GRACE data, through various extensions of assimilation filters and applying covariance localization, and [88] used GRACE and soil moisture data simultaneously in an ensemble-based assimilation framework to update storage estimation of a hydrological model in Australia, while [57,89] assimilate GRACE data into W3RA to estimate the groundwater changes in Bangladesh and the Middle East, respectively. [90] and smoothed at 300 km of radius) corrected from GIA from [46], (b) soil moisture (SM) and snow from Global Land Data Assimilation System (GLDAS)-NOAH 2.7.1 [52] and (c) difference between TWS from GRACE corrected from GIA and SM and snow for the whole land surfaces.…”

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confidence: 99%

Monitoring Groundwater Storage Changes Using the Gravity Recovery and Climate Experiment (GRACE) Satellite Mission: A Review

2018

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The Gravity Recovery and Climate Experiment (GRACE) satellite mission, which was in operation from March 2002 to June 2017, was the first remote sensing mission to provide temporal variations of Terrestrial Water Storage (TWS), which is the sum of the water masses that were contained in the soil column (i.e., snow, surface water, soil moisture, and groundwater), at a spatial resolution of a few hundred kilometers. As in situ level measurements are generally not sufficiently available for monitoring groundwater changes at the regional-scale, this unique dataset, combined with external information, is widely used to quantify the interannual variations of groundwater storage in the world's major aquifers. GRACE-based groundwater changes revealed significant aquifer depletion over large regions, such as the Middle East, the northwest India aquifer, the North China Plain aquifer, the Murray-Darling Basin in Australia, the High Plains, and the California Central Valley aquifers in the United States of America (USA), but were also used to estimate groundwater-related parameters such as the specific yield, which relates groundwater level to storage, or to define the indices of groundwater depletion and stress. In this review, the approaches used for estimating groundwater storage variations are presented along with the main applications of GRACE data for groundwater monitoring. Issues that were related to the use of GRACE-based TWS are also addressed.

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“…Since 2002, the Gravity Recovery And Climate Experiment (GRACE) provides, for the first time, precise measurements of spatiotemporal variations in the total terrestrial water storage or TWS (the sum of groundwater, soil water, surface water, and snow pack) [17] at seasonal and basin scales. Several studies have estimated subsurface water storage change (SSWS) from GRACE-derived TWS estimates [18][19][20][21] after deducting the contribution of changes in the other water-storage compartment, in particular, surface-water storage (SWS; see Reference [22] for a review). Recently, some authors have combined different multisatellite observations to quantify the variation of the surface-water extent and storage of several worldwide lakes, reservoirs, and basins [23][24][25].…”

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confidence: 99%

Variations of Surface and Subsurface Water Storage in the Lower Mekong Basin (Vietnam and Cambodia) from Multisatellite Observations

Pham-Duc

Papa

Prigent

et al. 2019

Water

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In this study, we estimate monthly variations of surface-water storage (SWS) and subsurface water storage (SSWS, including groundwater and soil moisture) within the Lower Mekong Basin located in Vietnam and Cambodia during the 2003–2009 period. The approach is based on the combination of multisatellite observations using surface-water extent from MODIS atmospherically corrected land-surface imagery, and water-level variations from 45 virtual stations (VS) derived from ENVISAT altimetry measurements. Surface-water extent ranges from ∼6500 to ∼40,000 km 2 during low and high water stages, respectively. Across the study area, seasonal variations of water stages range from 8 m in the upstream parts to 1 m in the downstream regions. Annual variation of SWS is ∼40 km 3 for the 2003–2009 period that contributes to 40–45% of total water-storage (TWS) variations derived from Gravity Recovery And Climate Experiment (GRACE) data. By removing the variations of SWS from GRACE-derived TWS, we can isolate the monthly variations of SSWS, and estimate its mean annual variations of ∼50 km 3 (55–60% of the TWS). This study highlights the ability to combine multisatellite observations to monitor land-water storage and the variations of its different components at regional scale. The results of this study represent important information to improve the overall quality of regional hydrological models and to assess the impacts of human activities on the hydrological cycles.

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A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme

Cited by 47 publications

References 79 publications

Determining water storage depletion within Iran by assimilating GRACE data into the W3RA hydrological model

Determining water storage depletion within Iran by assimilating GRACE data into the W3RA hydrological model

Monitoring Groundwater Storage Changes Using the Gravity Recovery and Climate Experiment (GRACE) Satellite Mission: A Review

Variations of Surface and Subsurface Water Storage in the Lower Mekong Basin (Vietnam and Cambodia) from Multisatellite Observations

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