CMIP6-based mosartwmpy simulations (inflow, storage, release) for CONUS multi-use reservoirs

This dataset provides simulated historical and future projections of daily reservoir inflow, release (outflow), and storage for reservoirs in contiguous United States (CONUS). based on a six-member General Climate Model (GCM) ensemble from the state-of-the-art Coupled Models Intercomparison Project phase 6 (CMIP6). The CMIP6 GCMs (ACCESS-CM2, BCC-CSM2-MR, CNRM-ESM2-1, MPI-ESM1-2-HR, MRI-ESM2-0, and NorESM2-MM ) are downscaled using statistical (i.e., DBCCA) and dynamical (i.e., RegCM) downscaling approaches based on two meteorological reference observations (Daymet and Livneh). The downscaled climate models are driven through two calibrated hydrologic models (VIC and PRMS) to simulate projected future hydrologic responses. Each ensemble member covers the 1980–2019 baseline and 2020–2059 near-term future periods under the high-end (SSP585) emission scenario. These data were produced using the mosartwmpy channel routing and water management model(Thurber et al. 2021) which is the python version of MOSART-WM (Voisin et al. 2013, Hejazi et al. 2015). It was used to simulate reservoir inflow, release, and storage for 1861 reservoirs in CONUS found in the Global Reservoir and Dam Database (GRanD) Version 1.3. Derived to support the SECURE Water Act Section 9505 Assessment for the US Department of Energy (DOE) Water Power Technologies Office (WPTO), this dataset focuses on powered and non-powered reservoirs, in order to support other integrated water management analytics and simulations similar to Hejazi et al. (2015). Modeling Background This modeling underlies the non-Federal extension of the Department of Energy's Third Assessment of Federal Hydropower, a component of a multi-year study directed by Congress in Section 9505 of the SECURE Water Act (SWA, Public Law 111-11) of 2009. Data are provided for an ensemble of traces, each using a different source of simulated runoff and baseflow. A detailed description of the input data and their development can be found in the Third Assessment Report. The mosartwmpy set up was updated as detailed in (Broman et al. 2024). Hydropower simulations based on this dataset have been published by Balancing Authority and USGS HUC4 subregions. Data Structure The dataset is provided in the parquet data format. GRanD (Reservoir) Data Files GRanD reservoir files use the naming convention [run]-daily_grand-[version].parquet where run specifies the input runoff data used and version specifies the collection of input runoff data used. Within each file, data have the following structure: Column Name Unit Description date - date in YYYY-MM-DD format GRAND_ID - GRanD reservoir ID channel_inflow cms simulated reservoir total inflow channel_outflow cms simulated reservoir total outflow WRM_STORAGE m3 simulated reservoir storage Related Datasets A companion dataset derived from the same mosartwmpy modeling is also available CMIP6-based mosartwmpy simulations (inflow, storage) for CONUS hydropower facilities Version 1.0. References Broman D, Voisin N, Kao S-C, Fernandez A, Ghimire GR. Multi-scale impacts of climate change on hydropower for long-term water-energy planning in the contiguous United States. Environmental Research Letters. 2024;19(9):094057. Hejazi MI, Voisin N, Liu L, Bramer LM, Fortin DC, Hathaway JE, et al. 21st century United States emissions mitigation could increase water stress more than the climate change it is mitigating. Proceedings of the National Academy of Sciences. 2015;112(34):10635. Kao, S.-C., M. Ashfaq, D. Rastogi, S. Gangrade, R. Uría Martínez, A. Fernandez, G. Konapala, N. Voisin, T. Zhou, W. Xu, H. Gao, B. Zhao, and G. Zhao (2022), The Third Assessment of the Effects of Climate Change on Federal Hydropower, ORNL/TM-2021/2278, Oak Ridge National Laboratory, Oak Ridge, TN. DOI: https://doi.org/10.2172/1887712 Thurber T, Vernon C, Sun N, Turner S, Yoon J, Voisin N. mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model. Journal of Open Source Software. 2021;6. Voisin N, Li H, Ward D, Huang M, Wigmosta M, Leung LR. On an improved sub-regional water resources management representation for integration into earth system models. Hydrol Earth Syst Sc. 2013;17(9):3605–22.