Sequential downscaling of GRACE products to map groundwater level changes in Krishna River basin

Gorugantula, Sai Srinivas; Kambhammettu, Bvn P

doi:10.1080/02626667.2022.2106142

Cited by 9 publications

(2 citation statements)

References 71 publications

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“…GRACE data was downloaded from the Jet Propulsion Laboratory's (JPL) OPEnDAP data server [18]. The GLDAS soil moisture data was download from Goddard Earth Sciences Data and Information Service Center (GES DISC) [10], GSW surface water data was downloaded from the Global Surface Water Explorer and TerraClimate data was downloaded from Climatology lab.…”

Section: Terraclimate Datamentioning

confidence: 99%

Assessment of Groundwater Storage Depletion using GRACE and Land Surface Models in Mzimba District, North Malawi

Sichone

2024

Preprint

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Climate change and over-exploitation are imposing unprecedented threats to the groundwater resource. Globally, groundwater reserves have depleted to the extent that well yield have decreased, pumping cost have risen, and land have irreversibly subsided. In Malawi, groundwater quantity is a national problem, specifically in Mzimba district due to severe droughts. In this study, the spatial and temporal trends of groundwater depletion was assessed using Gravity Recovery and Climate Experiment (GRACE) data and Land Surface Models (LSM) from Global Land Data Assimilation System (GLDAS) and Global Surface Water Explorer (GSWE). The results show that 1. Groundwater storage is depleting at an average rate of-1.0 ± 0.06 cm yr-1(0.1043 km3yr-1) in the study area with high rate of up to -1.2 cm yr-1(0.12516 km3 yr-1) in the western side and as low as –0.4 cm yr-1(0.04172 km3 yr-1) in the eastern part. 2. Groundwater storage increases from -13 cm in November up to 15 cm between May and April. 3. Drought is the primary cause of such depletion trends with correlation between active evapotranspiration and groundwater depletion, and downward surface shortwave radiation and groundwater depletion, at -0.577 and -0.678 respectively. The results from the study reveals the need for the scientific community and the general public to consider groundwater recharge strategies specifically by mitigating climate change to reduce prolonged droughts. The study suggests the need to establish a stand-alone groundwater assessment and monitoring authority for enhanced conservation efforts of the water resource in the country.

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Section: Terraclimate Datamentioning

confidence: 99%

Assessment of Groundwater Storage Depletion using GRACE and Land Surface Models in Mzimba District, North Malawi

Sichone

2024

Preprint

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“…First, although the current resolution (~50 km) of the GRACE estimates has paved a way of deriving helpful information regarding hydrological simulation, its coarse resolution holds back its feasibility for local/regional scale monitoring [114]. Therefore, hydrological measurements are necessary at a higher resolution to have better and more precise projections, for example, increasing the spatial resolution with machine learning algorithms [51,115], random forest (RF) algorithm [44], and deep learning (DL) [116,117]. The current proposed combined approach of pre-processed GRACE data with SWAT indicates a high correlation of coefficient (R) and NSE values.…”

Section: Limitation and Future Considerationsmentioning

confidence: 99%

Enhancing Streamflow Modeling by Integrating GRACE Data and Shared Socio-Economic Pathways (SSPs) with SWAT in Hongshui River Basin, China

Touseef

Chen

et al. 2023

Remote Sensing

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Climatic variability and the quantification of climate change impacts on hydrological parameters are persistently uncertain. Remote sensing aids valuable information to streamflow estimations and hydrological parameter projections. However, few studies have been implemented using remote sensing and CMIP6 data embedded with hydrological modeling. This research studied how changing climate influences the hydro-climatic parameters based on the earth system models that participated in the sixth phase of the Coupled Model Intercomparison Project (CMIP6). GRACE evapotranspiration data were forced into the Soil and Water Assessment Tool (SWAT) to project hydrologic responses to future climatic conditions in the Hongshui River basin (HRB) model. A novel approach based on climate elasticity was utilized to determine the extent to which climate variability affects stream flow. CMIP6 SSPs (shared socio-economic pathways) for the second half of the 20th century (1960–2020) and 21st century (2021–2100) projected precipitation (5–16%) for the whole Hongshui River basin (HRB). The ensemble of GCMs projected an increase of 2 °C in mean temperature. The stream flow is projected to increase by 4.2% under SSP-1.26, 6.2% under SSP-2.45, 8.45% under SSP-3.70, and 9.5% under SSP-5.85, based on the average changes throughout the various long-term future scenarios. We used the climate elasticity method and found that climate change contributes 11% to streamflow variability in the Hongshui River basin (HRB). Despite the uncertainty in projected hydrological variables, most members of the modeling ensemble present encouraging findings for future methods of water resource management.

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Monitoring Terrestrial Water Storage Using GRACE/GRACE-FO Data over India: A Review

Kumar,

Soni,

Swargiary

2024

Iran J Sci Technol Trans Civ Eng

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Sequential downscaling of GRACE products to map groundwater level changes in Krishna River basin

Cited by 9 publications

References 71 publications

Assessment of Groundwater Storage Depletion using GRACE and Land Surface Models in Mzimba District, North Malawi

Assessment of Groundwater Storage Depletion using GRACE and Land Surface Models in Mzimba District, North Malawi

Enhancing Streamflow Modeling by Integrating GRACE Data and Shared Socio-Economic Pathways (SSPs) with SWAT in Hongshui River Basin, China

Monitoring Terrestrial Water Storage Using GRACE/GRACE-FO Data over India: A Review

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