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A review of open data for studying global groundwater in social–ecological systems

Bibliographic Data

ID15544265
AuthorsXander Huggins (0000-0002-6313-8299, Stockholm Resilience Centre, corresponding author), Tom Gleeson (0000-0001-9493-7707, University of Victoria), J S Famiglietti (0000-0002-6053-5379, Arizona State University), Robert Reinecke (0000-0001-5699-8584, Johannes Gutenberg University Mainz), Daniel Zamrsky (0000-0001-6046-688X, Utrecht University), Thorsten Wagener (0000-0003-3881-5849, University of Potsdam), Richard G Taylor (0000-0002-9867-8033, University College London), Megan Konar (0000-0003-0540-8438, University of Illinois Urbana-Champaign), Claudia Ruz Vargas (0000-0002-4698-3685, IGRAC), Miina Porkka (0000-0002-8285-6122, University of Eastern Finland), Lan Wang‐Erlandsson (0000-0002-7739-5069, Stockholm Resilience Centre), Inge de Graaf (0000-0001-7748-868X, Wageningen University & Research), Mark Cuthbert (0000-0001-6721-022X, Cardiff University), Sara Lindersson (0000-0001-9359-6218, Uppsala University), Yoshihide Wada (0000-0003-4770-2539, King Abdullah University of Science and Technology), Marc F P Bierkens (0000-0002-7411-6562, Utrecht University), Yadu Pokhrel (0000-0002-1367-216X, Michigan State University), Juan Rocha (0000-0003-2322-5459, Stockholm Resilience Centre), Giuliano Di Baldassarre (0000-0002-8180-4996, Uppsala University), Matti Kummu (0000-0001-5096-0163, Aalto University), Grant Ferguson (0000-0001-8519-1771, University of Saskatchewan), Abhijit Mukherjee (0000-0002-0555-0875, Indian Institute of Technology Kharagpur), Min‐Hui Lo (0000-0002-8653-143X, National Taiwan University), Bridget R Scanlon (0000-0002-1234-4199, Bureau of Economic Geology), Mark S Johnson (0000-0001-5070-7539, University of British Columbia), Chunmiao Zheng (0000-0001-5839-1305, Eastern Institute of Technology)
Year2025
Volume20
Issue9
Pages093002-093002
Publication date2025-07-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/adf127
OpenAlexW4413071189
LanguageEN
Citations received1
References cited120

Global data have served an integral role in characterizing large-scale groundwater systems, identifying their sustainability challenges, and informing on socioeconomic and ecological dimensions of groundwater. These insights have revealed groundwater as a dynamic component of the water cycle and social–ecological systems, leading to an expansion in groundwater science that increasingly focuses on groundwater’s interactions with ecological, socioeconomic, and Earth systems. This shift presents many opportunities that are conditional on broader, more interdisciplinary system conceptualizations, models, and methods that require the integration of a greater diversity of data in contrast to conventional hydrogeological investigations. Here, we catalogue 144 global open access datasets and dataset collections relevant to groundwater science that span elements of the hydrosphere, biosphere, atmosphere, lithosphere, food systems, governance, management, and other socioeconomic system dimensions. The assembled catalogue offers a reference of available data for use in interdisciplinary assessments, and we summarize these data across their primary system, spatial resolution, temporal range, data type, generation method, level of groundwater representation, and institutional location of lead authorship. The catalogue includes 15 groundwater datasets, 23 datasets derived in relation to groundwater, and 106 datasets associated with groundwater. We find the majority of datasets are temporally static and that temporally dynamic data peak in availability during the 2000–2010 decade. Only a small fraction of temporally dynamic data is derived with any direct representation of groundwater, highlighting the need for greater incorporation of groundwater in Earth system models and data collection initiatives across socioeconomic, governance, and environmental science research communities. A small number of countries, led by the USA, Germany, the Netherlands, and Canada, generate most global groundwater data, reflecting a global North bias in the institutional leadership of these data generation activities. We raise three priority themes for future global groundwater data initiatives, which include: data improvements through prioritizing observed and temporally dynamic data; elevating regional and local scale data and perspectives to address challenges relating to equity and bias; and advancing data sharing initiatives founded on reciprocal benefits between global initiatives and data providers

Biosphere · Earth science · Earth system science · Environmental resource management · Geography · Groundwater · Hydrogeology · Hydrosphere · Socioeconomic status · Sociology · Sustainability · Environmental Science · Flood Risk Assessment and Management · Groundwater and Isotope Geochemistry · Hydrology and Watershed Management Studies · Ecology · Geology

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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