Computational Hydrology Research Group at the University of Massachusetts Amherst
Welcome to Hydro@UMass!
This is the webpage of the Computational hydrology Research Group in the Civil and Environmental Engineering department at the University of Massachusetts Amherst. The group is led by Kostas Andreadis, and the research that we do focuses on the intersection of water resources modeling, remote sensing and in-situ observations, data fusion, and the study of large-scale hydrology as it relates to climate change and environmental monitoring.
We study the use of remote sensing (both satellite and airborne) to monitor freshwater resources globally.
We develop and implement numerical models to better understand hydrologic processes at multiple scales, and software tools to facilitate their use in applications.
We develop data assimilation and machine learning algorithms to integrate models and observations for improving hydrologic prediction and uncertainty characterization.
The SWOT satellite mission will observe water surface elevation, slope, storage change (directly) and river discharge (indirectly) globally at unprecedented spatial resolutions and accuracies, potentially having a “transformational impact in terrestrial hydrology”.
Snow accumulation and its melt dominate water resources in mountainous areas, with regions such as the western United States deriving more than 75% of the total freshwater available annually from snowmelt.
Rice is Asia’s most important food crop with nearly 3 billion people reliant on rice as their major food source. Over the next ten years this number is expected to climb to nearly 4 billion people.