Computational models are important tools that aid process understanding, hypothesis testing, and data interpretation. The ability to easily couple models from various domains such as, surface-water and groundwater, to form integrated models will aid studies in water resources. This project investigates the use of the Community Surface Dynamics Modeling System (CSDMS) Modeling Framework (CMF) to couple existing USGS hydrologic models into integrated models. The CMF provides a Basic Model Interface (BMI), in a range of common computer languages, that enables model coupling. In addition, the CMF also provides a Python wrapper for any model that adopts the BMI. In this project the Precipitation-Runoff Modeling...
Water management starts with the understanding of the spaciotemporal distribution of the available water, uses, and losses. A planet with limited water resources needs accurate, reliable and frequently-updated data and tools to assess and monitor historical and current uses and plan for future needs. Scientists at EROS harness massive amounts of satellite and global weather datasets and integrate them with agro-hydroloic models to create multi-scale products for use by resource managers and researchers across the world for improved decision making and scenario building in water, agriculture, and natural resources. Agro-hydrologic research focuses on hydrologic processes between 2-m below and 2-m above the ground...