Auto-regulating input files that save time when jobs fail

Benjamin FitzGerald demonstrates an HTCondor and DAGMan workflow that automatically manages dynamic input files and item-level retries for large-scale precipitation analysis. By automating file handling and recovery from missing data, the approach reduces manual intervention, improves workflow reliability, and accelerates hydrologic modeling for flood risk research.