Multi-scenario, seven-reservoir CE-QUAL-W2 model forcing and results for coupled ML & hydrodynamic river temperature study in Tennessee River Basin.

Forcing data and results supporting article "Coupling machine learning stream temperature models with hydrodynamic simulations to explore water management risks in regulated rivers".All files contain 28 distinct long-range hydroclimate scenarios (7 ESM x 4 SSP, 1980 - 2099) and one "control" (historical reanalysis) scenario (1980 - 2019)."ORNL CE-QUAL-W2 inputs.zip": All inputs required to drive the seven-reservoir CE-QUAL-W2 model cascade, including multi-branch reservoir inflows ("inflows_cumecs_"), reservoir releases ("Outflows_cumecs_") and pool elevations ("PoolElevation_m_") based on RiverWare simulation results, meterological forcing over the lake surfaces ("metvars_daily_"), and LSTM-derived, multi-branch inflow temperature time series ("InflowTemp_daily_degC_")."CE-QUAL-W2 results.zip": CE-QUAL-W2 simulations results at daily resolution for key points along the reservoir cascade.