Dr. Moreno’s research efforts focus on advancing the study of the links between water, energy, and biogeochemical cycles across a wide range of spatio-temporal scales and regions. He emphasizes the study of hydro-systems under natural variability and anthropogenic-driven change that face new challenges for society's water security and extreme events prevention and forecasting. His study topics span from atmospheric science, surface water, and groundwater hydrology through complementary sciences like hydrometeorology, hydroclimatology, ecohydrology, surface hydrology, and hydroinformatics. His lab uses tools that combine field observations from the atmosphere, surface and underground, with remotely sensed information from satellites, radars, and unmanned systems, and high-performance, distributed hydrological and machine learning modeling to develop platforms for decision-making under uncertainty.