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River discharge and temperature are key indicators of change in hydrologic systems. Coupled daily streamflow and river temperature data provide extremely useful datasets in regions that otherwise would not have data. In this study, we adapt a model framework for coupled streamflow and river temperature estimation that was recently implemented in interior and northern Alaska. We then apply it to the smaller, glacier-dominated region of Southeast Alaska. The proposed research will employ three different models, two versions of a coupled atmospheric/land surface model that builds inputs for the River Basin Model (RBM), which produces daily river temperature data. we estimate daily streamflow and river temperature for Southeast Alaska. The model was run for a historical (1991-2020) scenario. To validate the results, we compared the daily discharge values of the gauges with modeled discharge along the gauge’s stream segment. In the case of this project, observations come from several USGS stream gauges in the study area. We assess model performance using Kling-Gupta and Nash-Sutcliffe efficiency metrics to compare the efficacy of our two atmospheric/land surface models. Observations are basin specific, thus localized conditions can indicate trends in model results and performance. We conducted a sensitivity test of physical parameters based on a state-wide calibration to determine the most appropriate parameter sets for this smaller study region. This modified version of the model framework for Southeast Alaska is transferable to other climate model input and regions. It will help assess the efficacy of both input models and assist in determining strengths and weaknesses of each model framework.