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 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

Email: gmascaro@asu.edu
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

Research Projects

 

infews_diagram

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. 

 

fig_nasaproject
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.

 

People

 

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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