
Computational models are growing in their capacity to consume large datasets and create complex, fine-scale outputs that sometimes reach multiple terabytes in size. Although in theory model output can be regenerated by re-running the model, doing so may require access to high-performance supercomputing, making reproduction costly and impractical. Therefore, when the model output data have… Read more »