Article on Water Balancece in the Nile Basin using gridded P and ETa accepted for publication in JoH-RS
The article How well do gridded precipitation and actual evapotranspiration products represent the key water balance components in the Nile Basin? has been published on the Journal of Hydrology: Regional Studies journal.
This article evaluates the performance of eleven state-of-the-art precipitation (P) products and seven actual evapotranspiration (ETa) products over the Nile Basin using a four-step procedure: (i) products were evaluated at the monthly scale through a point-to-pixel approach; (ii) streamflow was modelled using the Random Forest machine learning technique, and simulated for well-performing catchments for 2009–2018 (to correspond with ETa product availability); (iii) ETa products were evaluated at the multiannual scale using the water balance method; and (iv) the ability of the best-performing and ETa products to represent monthly variations in terrestrial water storage (TWS) was assessed through a comparison with GRACE Level-3 data.
The application of the water balance using the best-performing products captures the seasonality of TWS well over the White Nile Basin, but overestimates seasonality over the Blue Nile Basin. Our study demonstrates how gridded and ETa products can be evaluated over extremely data-scarce conditions using an easily transferable methodology.
I am an Associate Professor in the Department of Civil Engineering at the University of La Frontera. I hold a PhD in Environmental Engineering from the University of Trento (Italy) and completed postdoctoral training at the European Commission’s Joint Research Centre. I have more than 20 years of experience in water resources research and have previously served as an Associate Researcher at the Center for Climate and Resilience Research (CR)2 and as a member of the Earth Sciences Assessment Group of the Chilean National Research and Development Agency (ANID).
My research lies at the interface of hydrology, data science, and environmental sciences, with a particular focus on the use of gridded datasets and open-source tools to investigate droughts, extreme events, and water-related impacts of global change.
I work across spatial and temporal scales to improve the understanding of catchment-scale hydrological processes and to translate this knowledge into operational modelling, forecasting, and early-warning systems that support robust environmental decision-making.
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