GDROM v2: An Inventory of Operation Variables and Rules for 2,017 Large Reservoirs across the CONUS

Effective reservoir operation is critical for achieving multiple water management objectives, while also representing a major human intervention in hydrologic processes. However, due to sparse or inconsistent observations of daily inflow, release, and storage, most existing models either simplify or omit reservoir behavior. To address this gap, we present GDROM v2, a nationwide dataset covering daily operation variable times series and derived operation rules for 2,017 reservoirs across the Contiguous United States (CONUS), building upon the original GDROM (Li et al., 2023, https://doi.org/10.4211/hs.63add4d5826a4b21a6546c571bdece10) of 452 reservoirs.
The dataset includes:
1. Time series of daily inflow, release, and storage (collected, cleaned, and normalized)
2. Operation rules for each reservoir expressed as “if–then–else” statements
3. Python scripts and instructions for running, training, and transferring GDROMs
GDROM v2 supports modeling, benchmarking, and policy evaluation related to large-scale reservoir management under variable data conditions. It provides both an empirical basis and a scalable framework for integrating reservoir operations into hydrologic and water resources studies.