This is a formidable task. Terrestrial systems are inherently multiscale, involve more processes than traditional multiphysics applications, and have significant uncertainty in process representation and coupling at different scales. Moreover, the scientific software community is facing the confluence of disruptive changes in computing architectures and new opportunities for greatly improved simulation capabilities. New architectures, while demanding fundamental algorithm and software refactoring, are at the same time enabling new multiscale and multiphysics modeling, simulation, and analysis.EESA’s Genomes-to-Watershed and NGEE-Arctic projects seek to take advantage of these new scientific software capabilities by incorporating a recently initiated DOE project, co-funded by the Advanced Scientific Computing Research (ASCR) and the Office of Biological and Environmental Research (BER) within DOE’s Office of Science, entitled Interoperable Design of Extreme-Scale Application Software (IDEAS). This project pursues the development and demonstration of new approaches for producing, using, and supporting scientific software. It will establish methodologies and tools that facilitate delivery of software as reusable, interoperable components. Software life-cycle models will be developed that are both flexible and rigorous.
Specifically for the Genomes-to-Watershed Project, Phase I of which is an intensive study of the Colorado River watershed near Rifle, Colorado, IDEAS will provide fundamental simulation of biogeochemical cycling within the East River Watershed. The objective of this work, over the next three years, will be a better understanding of aquifer redox status and climate impacts on watershed carbon and nitrogen cycling—through higher fidelity, multiscale models simulated at high spatial resolution.Specifically for NGEE-Arctic, IDEAS will provide the foundation for multiscale, multiphysics simulations of warming tundra in the Barrow, Alaska, region. The objective of this work, over the next three years, will be to determine (through high-resolution simulation of domains extending over 10 km) how dynamic microtopography caused by thawing permafrost alters the hydrologic and carbon cycles of Arctic lowland tundra.
With IDEAS, BER envisions a software ecosystem of interoperable components to increase both software development and scientific productivity across its portfolio of projects that depend on modeling.