Software Productivity Challenges in Environmental Applications

• Main Authors: Moulton, David, Coon, Ethan, Steefel, Carl
• Format: Conference Object
• Language: unknown
• Published: figshare 2017
• Subjects: Computer Software; FOS Computer and information sciences; 80309 Software Engineering; Environmental Science; Arctic
• Online Access: https://dx.doi.org/10.6084/m9.figshare.4719145; https://figshare.com/articles/presentation/Software_Productivity_Challenges_in_Environmental_Applications/4719145

Predictive simulations of environmental applications pose significant challenges for multiscale multiphysics frameworks. Problem complexity requires flexibility to compare different models or model features, to add new models, and to explore model coupling. We will present our experience in addressing these issues in two open-source codes, Amanzi and the Arctic Terrestrial Simulator. We will discuss the importance and challenge of leveraging existing frameworks and libraries as well as components of established codes. Presented at SIAM CSE15 minisymposium Scientific Software Productivity at Extreme Scale.