An Open‐Source Web Application for Regional Analysis of GRACE Groundwater Data and Engaging Stakeholders in Groundwater Management

McStraw, Travis Clinton; Pulla, Sarva T.; Jones, Norman L.; Williams, Gustavious P.; David, Cédric H.; Nelson, James E.; Ames, Daniel P.

doi:10.1111/1752-1688.12968

Cited by 19 publications

(26 citation statements)

References 47 publications

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“…Furthermore, we conducted a temporal and geospatial assessment to monitor changes in groundwater in the cocoa-growing regions of Ghana, by leveraging the Gravity Recovery and Climate Experiment (GRACE) and the Global Land Data Assimilation System (GLDAS) dataset provided by the GRACE Groundwater Subsetting tool (GGST) 37 under the NASA SERVIR program’s API and Google Colab Notebook. The Groundwater storage anomaly in the database is derived using the mass balance approach (Eq.…”

Section: Methodsmentioning

confidence: 99%

“…In addition, long-term monthly mean anomaly spatial plots were created to visualize the spatial and seasonal variability of groundwater as well as the mass balance components in the cocoa-growing regions in Ghana. Note that the gaps in the GRACE total water storage anomaly (TWSa) were imputed based on the methods described in 37 , 38 and the snow water equivalent is zero for the region.…”

Section: Methodsmentioning

confidence: 99%

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Integrating GIS and remote sensing for land use/land cover mapping and groundwater potential assessment for climate-smart cocoa irrigation in Ghana

Akpoti,

Dembélé,

Forkuor

et al. 2023

Sci Rep

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Although Ghana is a leading global cocoa producer, its production and yield have experienced declines in recent years due to various factors, including long-term climate change such as increasing temperatures and changing rainfall patterns, as well as drought events. With the increasing exposure of cocoa-producing regions to extreme weather events, the vulnerability of cocoa production is also expected to rise. Supplemental irrigation for cocoa farmers has emerged as a viable adaptation strategy to ensure a consistent water supply and enhance yield. However, understanding the potential for surface and groundwater irrigation in the cocoa-growing belt remains limited. Consequently, this study aims to provide decision-support maps for surface and groundwater irrigation potential to aid planning and investment in climate-smart cocoa irrigation. Utilizing state-of-the-art geospatial and remote sensing tools, data, and methods, alongside in-situ groundwater data, we assess the irrigation potential within Ghana's cocoa-growing areas. Our analysis identified a total area of 22,126 km2 for cocoa plantations and 125.2 km2 for surface water bodies within the cocoa-growing regions. The multi-criteria analysis (MCA) revealed that approximately 80% of the study area exhibits moderate to very high groundwater availability potential. Comparing the MCA output with existing borehole locations demonstrated a reasonable correlation, with about 80% of existing boreholes located in areas with moderate to very high potential. Boreholes in very high potential areas had the highest mean yield of 90.7 l/min, while those in low groundwater availability potential areas registered the lowest mean yield of 58.2 l/min. Our study offers a comprehensive evaluation of water storage components and their implications for cocoa irrigation in Ghana. While groundwater availability shows a generally positive trend, soil moisture and surface water have been declining, particularly in the last decade. These findings underline the need for climate-smart cocoa irrigation strategies that make use of abundant groundwater resources during deficit periods. A balanced conjunctive use of surface and groundwater resources could thus serve as a sustainable solution for maintaining cocoa production in the face of climate change.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Integrating GIS and remote sensing for land use/land cover mapping and groundwater potential assessment for climate-smart cocoa irrigation in Ghana

Akpoti,

Dembélé,

Forkuor

et al. 2023

Sci Rep

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“…An overview of the Tethys Platform and links to documentation, bug reporting, and support forum are available online at http://www.tethysplatform.org. The Tethys platform has created a common medium for scholars and scientists enabling them to envision, develop, and deploy several notable Earth Observation web applications (McStraw et al;McDonald et al, 2019;Nelson et al, 2019;Qiao et al, 2019;Saah et al, 2019;Gan et al, 2020;Bustamante et al, 2021;Khattar et al, 2021;Sanchez Lozano et al, 2021). The application structure for the NASAaccess Tethys web application uses the Model-View-Controller (MVC) software architecture discussed in McDonald et al, (2019).…”

Section: Tethys Application Frameworkmentioning

confidence: 99%

Technical note: NASAaccess – A tool for access, reformatting, and visualization of remotely sensed earth observation and climate data

Mohammed¹,

Bustamante²,

Bolten³

et al. 2023

Preprint

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Abstract. NASA has launched a new initiative; the Open-Source Science Initiative (OSSI) to enable and support science towards openness. The OSSI initiative supports open-source software development and dissemination. In this work, we present NASAaccess which is an open-source software package and web-based environmental modeling application for earth observation data accessing, reformatting, and presenting quantitative data products. The main objective of developing the NASAaccess platform is to facilitate exploration, modeling, and understanding of earth data for scientists, stakeholders, and concerned citizens whose objectives align with the new OSSI goals. The NASAaccess platform is available as software packages (i.e., R and conda packages) as well as an interactive format web-based environmental modeling application for earth observation data developed with the Tethys Platform. The NASAaccess has been envisioned to lower the technical barriers and simplify the process of accessing scalable distributed computing resources and leverage additional software for data and computationally intensive modeling frameworks. Specifically, NASAaccess is developed to meet the need for seamless earth observation remote sensing and climate data ingestion into various hydrological modeling frameworks. Moreover, NASAaccess is also contributing to keep interested parties and stakeholders engaged with environmental modeling, accessing the information available in various remote sensing products. NASAaccess current capabilities covers various NASA datasets and products that include the Global Precipitation Measurement (GPM) data products, the Global Land Data Assimilation System (GLDAS) land surface states and fluxes, and the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) Coupled Model Intercomparison Project Phase 5 (CMIP5) & Coupled Model Intercomparison Project Phase 6 (CMIP6) climate change dataset products.

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“…GRACE data have been used for various applications, such as flood studies [25][26][27][28][29], drought studies [30][31][32][33][34][35], and general hydrologic investigations focusing on regional water storage and trends [36][37][38]. Recent research has demonstrated the use of GRACE data for monitoring variations in groundwater storage [39][40][41][42][43] including variations in groundwater depletion in arid and semiarid regions [15,44,45]. GRACE data have proven valuable in monitoring global water storage changes [46].…”

Section: Grace Datamentioning

confidence: 99%

Exploiting Earth Observations to Enable Groundwater Modeling in the Data-Sparse Region of Goulbi Maradi, Niger

Barbosa,

Jones,

Williams

et al. 2023

Remote Sensing

Self Cite

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Groundwater modeling is a useful tool for assessing sustainability in water resources planning. However, groundwater models are difficult to construct in regions with limited data availability, areas where planning is most crucial. We illustrate how remote sensing data can be used with limited in situ data to build and calibrate a regional groundwater model in the Goulbi Maradi alluvial aquifer in southern Niger in Western Africa. We used data from the NASA Gravity Recovery and Climate Experiment (GRACE) satellite mission to estimate recharge rates, the primary source of water to the aquifer. We used the groundwater storage changes obtained from GRACE data from 2009 to 2021 to establish an overall water budget. We used this water budget to back-calculate groundwater withdrawals from pumping in the region. There are only very limited historic data on withdrawals. This approach allowed us to calibrate the model and use it as a predictive tool to analyze the impact of various assumptions about future recharge and groundwater extraction patterns associated with the development of groundwater infrastructure in the region. The results indicate that water extraction from the Goulbi Maradi alluvial aquifer is sustainable, even if current groundwater extraction is increased by up to 28%.

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An Open‐Source Web Application for Regional Analysis of GRACE Groundwater Data and Engaging Stakeholders in Groundwater Management

Cited by 19 publications

References 47 publications

Integrating GIS and remote sensing for land use/land cover mapping and groundwater potential assessment for climate-smart cocoa irrigation in Ghana

Integrating GIS and remote sensing for land use/land cover mapping and groundwater potential assessment for climate-smart cocoa irrigation in Ghana

Technical note: NASAaccess – A tool for access, reformatting, and visualization of remotely sensed earth observation and climate data

Exploiting Earth Observations to Enable Groundwater Modeling in the Data-Sparse Region of Goulbi Maradi, Niger

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