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Giuseppe Mascaro

Giuseppe Mascaro

Welcome to our research group!

We investigate a range of topics in hydrology, climate, and atmospheric sciences that are useful to support engineering applications. More specifically, we focus on statistical characterization of hydrologic variables, development of downscaling methods, watershed modeling, evaluation of climate change impacts on water resources and infrastructure, and food-water-energy nexus.

We pursue an interdisciplinary approach through collaborations with faculty at ASU and other institutions. We are part of the School of Sustainable Engineering and the Built Environment, the Metis Center for Infrastructure and Sustainable Engineering, and the Global Security Initiative at ASU. Our students are part of graduate programs in Hydrosystems Engineering and Environmental Engineering.

About Giuseppe Mascaro


Giuseppe Mascaro, Ph.D.

Giuseppe Mascaro, Ph.D.

Assistant Professor

School of Sustainable Engineering and the Built Environment
Arizona State University

Phone: 480-727-2474
Office: ISTB4 – Room 395C
Address: 781 E. Terrace Road, Tempe, AZ 85287-6004

Curriculum Vitae (PDF)

Google Scholar Profile

Web of Science Profile

ResearchGate Profile

Giuseppe Mascaro presents results of a recent study on rainfall extremes in Central Arizona, published in Journal of Hydrology.

The link to the article on ASU Now can be found here.

Research Projects



INFEWS/T2: Flexible Model Compositions and Visual Representations for Planning and Policy Decisions at the Sub-regional level of the food-energy-water nexus, NSF INFEWS program. Main goal: develop basic interdisciplinary scientific understanding of food, energy, and water system dynamics to inform an integrated modeling, visualization, and decision support infrastructure for comprehensive FEW systems. Mascaro’s research will be focused on the development of a multi-resolution integrated modeling framework that explicitly captures the feedbacks among food, energy and water sectors.


Ensemble Generation of Downscaled Soil Moisture from Satellite Observations, NASA Terrestrial Hydrology program. Main goal: calibrate a statistical downscaling model for generating high-resolution soil moisture fields from coarse satellite data using aircraft-based data collected during intensive field campaigns, as well as high-resolution (10 to 100 m) soil moisture fields generated by a distributed hydrologic model applied to a set of study basins.


FloodAware is a multi-university project to assess the effectiveness of several real-time flood detection, reporting, and communication technologies for cities and local communities. The project is supported by the National Science Foundation’s Smart and Connected Communities program (award 1831475). See the project website for additional information.



Join the lab


If you are interested in joining the lab or would like to know more about our research, contact us.

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