  We propose an approach for improved reproducibility that includes capturing
and relating provenance characteristics and performance metrics, in a hybrid
queriable system, the ProvEn server. The system capabilities are illustrated on
two use cases: scientific reproducibility of results in the ACME climate
simulations and performance reproducibility in molecular dynamics workflows on
HPC computing platforms.
