Towards equitable hydrological data in the age of Earth observations and artificial intelligence
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Download the conference paper, presented during The Conference on Computational Methods in Water Resources (CMWR 2026) in Bologna (Italy)
Abstract Coupled hydro-economic models are increasingly used to support agricultural water management, yet their results can be highly sensitive to structural (model-form) choices in both human and water systems. We
Download the poster, presented by Omar Cenobio-Cruz, Giuliano di Baldassarre (Uppsala University) and Róbert Blaško (Slovak Environment Agency) during Hydrologidagarna 2025 (Sweden)
Estimation of the water balance in the Nitra Riverbasin, Slovakia – Conference Poster Read More »
Download the poster, presented by Omar Cenobio-Cruz and Giuliano di Baldassarre (Uppsala University) during the VIII Jornadas de Ingeniería del Agua in Zaragoza, Spain
Abstract As the largest sectoral user of water, agriculture is impacted by and a major driver of water scarcity globally. Monitoring of agricultural water use is essential to identify and
Abstract Aquifer depletion poses a major threat to the ability of farmers, food supply chains, and rural economies globally to use groundwater as a means of adapting to climate variability
Aquifer depletion exacerbates agricultural drought losses in the US High Plains Read More »
Abstract The development of gridded precipitation datasets has accelerated in recent decades, establishing them as crucial tools in hydrological analysis. This study aims to unravel the propagation of uncertainty in
Abstract Floods and droughts often worsen socioeconomic inequalities, as marginalized groups face disproportionate impacts and have fewer resources to recover. Inequalities, in turn, limit their ability to recover, and amplify
Breaking vicious cycles of hydrological disasters and socioeconomic inequalities Read More »
Abstract Groundwater pumping for irrigation has led to declining groundwater levels in agricultural areas around the world, including the U.S. High Plains Aquifer. Here, we used a process-based crop model,