Surface water quality models are critically important tools for managing our nation's surface waters. EPA's Water Modeling Workgroup (WMW) works to facilitate the use of surface water quality models through collaboration, information sharing, and training on models and modeling resources.
The EPA Center for Exposure Assessment Modeling (CEAM) distributes simulation models and database software designed to quantify movement and concentration of contaminants in lakes, streams, estuaries, and marine environments.
The goal of the Global Change Intersectoral Modeling System (GCIMS) scientific focus area is improving the understanding of the complex interactions among energy, water, land, climate, socioeconomics, and other important human and natural systems at regional to global and seasonal to centennial scales.
The Integrated Multisector, Multiscale Modeling (IM3) project is a multi-institutional effort led by Pacific Northwest National Laboratory and funded by the U.S. Department of Energy’s Office of Science as part of the MultiSector Dynamics program area within the Earth and Environmental Systems Modeling program.
The Interdisciplinary Research for Arctic Coastal Environments (InteRFACE) project focuses on how the coupled, multiscale feedbacks among land processes (permafrost thaw, hydrology, and erosion), sea ice (morphology and coupling), ocean dynamics (stratification, waves, and tides), coastal change (erosion, deposition, and flooding), marine biogeochemistry, and human systems (transportation, resource availability and extraction, and settlements) will control the trajectory and rate of change across the Arctic coastal interface.
HyperFACETS: A Framework for Improving Analysis and Modeling of Earth System and Intersectoral Dynamics at Regional Scales project aims to address the questions: How much can we trust given climate information for actionable climate science? And how can we ensure its saliency?
The MIT Joint Program on the Science and Policy of Global Change: Multi-Sector Dynamics project conducts actionable, evidence-based research to improve understanding of sustainability challenges. Research enables decision-makers to devise effective strategies to address global change. Researchers take an integrated approach to sustainability science that considers the Earth's interconnected, co-evolving natural and societal systems in their full complexity.
The Program on Coupled Human and Earth Systems (PCHES) is a transdisciplinary research consortium of nine leading universities. Funded under the U.S. Department of Energy's MultiSector Dynamics (MSD) program, the PCHES team focuses on driving innovations in modeling and analysis of multisector, multiscale land, energy, water, and infrastructure systems to advance understanding of complex risk and response behaviors.
MultiSector Dynamics seeks to advance scientific understanding of the complex interactions, interdependencies, and coevolutionary pathways of human and natural systems, including interdependencies among sectors and infrastructures. This includes advancing relevant socioeconomic, risk analysis, and complex decision theory methods to lead insights into Earth system science, while emphasizing the development of interoperable data, modeling, and analysis tools for integration within flexible modeling frameworks.
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