PNNL

Abstract

Multiple concerns over the impact of wide scale changes in land management have motivated comprehensive analyses of environmental sustainability of food and biofuel production. These call for high-resolution, spatial-temporal information of lands using tools that enable comprehensive analyses of natural resources for decision-making. Most agroecosystem simulation models are point models with a user interface that allows users to provide inputs and examine results for agricultural field scale analyses, and they aren’t able to meet the needs of the regional and national simulation with high spatial resolutions. We describe an efficient computational approach over deployment of the Environmental Policy Integrated Climate (EPIC) model at high-resolution scales using a high performance computing (HPC) technique in this study. We concentrate on an integrated procedure for executing millions of simulations required, but also address building databases for model initialization and forcing the simulations, and post-processing model outputs.