It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.

It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.

It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.

It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.

It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.

It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.

It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.

It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.

Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. From simulated temperatures, we derived commonly used, ecologically relevant annual metrics of thermal conditions for each lake. We included all available supporting metadata including satellite and in-situ observations of water clarity, maximum observed lake depth, land-cover based estimates of surrounding canopy height and observed water temperature profiles (used here for validation). This unique dataset offers landscape-level insight into the future impact of climate change on lakes. This data set contains the following parameters: time, wtr_{z}, which are defined below.