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GLM model data sets used to evaluate changes in the hydrodynamics of Anvil Lake, Wisconsin: U.S. Geological Survey Data Release

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); Simulation of with Shallow and Hot Weather (GLM_Shallow_Hot_SimulationZ); Simulation of with Shallow Lake and Cold Weather (GLM_Shallow_Cold_SimulationZ).

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Author(s) Dale M Robertson orcid, James L Kennedy
Publication Date 2018
Beginning Date of Data 1979-01-01
Ending Date of Data 2014-12-31
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DOI https://doi.org/10.5066/F7DV1HVR
Citation Robertson, D.M., and Kennedy, J.L., 2018, GLM model data sets used to evaluate changes in the hydrodynamics of Anvil Lake, Wisconsin: U.S. Geological Survey Data Release: U.S. Geological Survey data release, https://doi.org/10.5066/F7DV1HVR.
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Metadata Date 2020-08-27
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Loading https://doi.org/10.1080/10402381.2017.1412374

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License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: ScienceBase
Harvest Date: 2024-05-08T08:18:50.526Z