Using Containers to Analyse the Impact of Climate Change
Explore a conference talk that delves into the use of software containers for analyzing climate change impacts on agricultural systems. Learn how Docker and Singularity containers are employed to create a scalable data processing pipeline capable of handling vast amounts of high-resolution soil and weather data. Discover how this innovative approach overcomes the limitations of traditional desktop-based simulations, enabling wide-area and landscape-scale analyses. Gain insights into a case study that simulated productivity and environmental aspects of a multi-year crop rotation system across a catchment in New Zealand's Hawke's Bay region, using a 5 km grid size resolution. Understand the challenges of predicting crop productivity and environmental outcomes, and how containerization addresses the need for increased computational capacity in climate change research.