In the Pacific Northwest, ensemble projected streamflow datasets are valuable for assessing vulnerabilities and the resilience of reservoir systems across the region. These datasets are typically generated using a climate-hydrologic modeling chain that begins with coarse-resolution outputs from selected Earth System Model (ESMs) and socioeconomic scenarios, which are spatially downscaled, followed by hydrologic simulations driven by the downscaled meteorological forcing. In this work, a calibrated catchment-based hydrology and river model is forced by ESM outputs for several socioeconomic scenarios from the archives of the Coupled Model Intercomparison Project phases 5 and 6, which are downscaled using a computationally efficient weather model. The dataset comprises twenty-nine daily hydrologic traces from 1950 to 2099 for 18,000 river reaches. The dataset also includes a retrospective hydrologic simulation forced by an observation-based meteorological dataset used for hydrologic model calibration. Naturalized flows for 221sites are used to assess historical simulation fidelity. This dataset supports a variety of applications including reservoir modeling, ecological impact assessments, and hydrologic analyses under historical to projected climate conditions.
Mizukami et al. (Fri,) studied this question.