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Interannual differences in the water quality of Anvil Lake, WI, were examined to determine how water level and climate affect the hydrodynamics and trophic state of shallow lakes, and their importance compared to anthropogenic changes in the watershed. To determine how changes in water level may affect these processes, the General Lake Model (GLM) was used to simulate how the lake’s thermal structure should change in response to changes in water level using R. This dataset includes the data inputs to the GLM model and the direct outputs from the model. Model Calibration (GLM_CalibrationZ); Simulation of with Deep Lake and Cold Weather (GLM_Deep_Cold_SimulationZ); Simulation of with Deep Lake and Hot Weather (GLM_Deep_Hot_SimulationZ);...
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This child item dataset provides site information for 82 streams and rivers from which data was used to train and test a machine learning model of daily chlorophyll concentrations. This dataset is part of a larger data release that contains model inputs, observed chlorophyll concentrations, model estimates of chlorophyll, and contributions of individual variables to modeled predictions.
    map background search result map search result map GLM model data sets used to evaluate changes in the hydrodynamics of Anvil Lake, Wisconsin Daily Estimates of Chlorophyll Concentration for 82 U.S. Rivers: 1. Site Information GLM model data sets used to evaluate changes in the hydrodynamics of Anvil Lake, Wisconsin Daily Estimates of Chlorophyll Concentration for 82 U.S. Rivers: 1. Site Information