US Long-Term Ecological Research Network
Modeled Organic Carbon, Dissolved Oxygen, and Secchi for six Wisconsin Lakes, 1995-2014

Abstract

This data package contains model output data, driving data, and supplemental information for a two-layer modeling study that investigated organic carbon and oxygen dynamics within six Wisconsin lakes over a twenty-year period (1995-2014). The six lakes are Lake Mendota, Lake Monona, Trout Lake, Allequash Lake, Big Muskellunge Lake, and Sparkling Lake. The model output includes daily predictions of six state variables: labile particulate organic carbon, recalcitrant particulate organic carbon, labile dissolved organic carbon, recalcitrant dissolved organic carbon, dissolved oxygen, and Secchi depth. The output also includes daily predictions of physical and metabolism fluxes that were used in the prediction of the state variables. This data package also contains model driving data for each lake and other supplemental information that was calculated during the modeling runs.<br/>
Dataset ID
421

Data Citation Suggestion

Delany, A. 2022. Modeled Organic Carbon, Dissolved Oxygen, and Secchi for six Wisconsin Lakes, 1995-2014 ver 2. Environmental Data Initiative. https://doi.org/10.6073/pasta/1b5b947999aa2f9e0e95c91782b36ee9. Accessed 2023-06-07.

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Date Range

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Modeled epilimnetic fluxes for Lake Mendota, 1995-2014
Modeled fluxes for the epilimnion of Lake Monona from 1995-2014
Modeled epilimnetic fluxes for Trout Lake, 1995-2014
Modeled epilimnetic fluxes for Allequash Lake, 1995-2014
Modeled epilimnetic fluxes for Big Muskellunge Lake, 1995-2014
Modeled epilimnetic fluxes for Sparkling Lake, 1995-2014
Model predictions of hypolimnetic fluxes for Lake Mendota, 1995-2014
Model predictions of hypolimnetic fluxes for Lake Monona, 1995-2014
Model predictions of hypolimnetic fluxes for Trout Lake, 1995-2014
Model predictions of hypolimnetic fluxes for Allequash Lake, 1995-2014
Model predictions of hypolimnetic fluxes for Big Muskellunge Lake, 1995-2014
Model predictions of hypolimnetic fluxes for Sparkling Lake, 1995-2014
Model predictions for epilimnetic variables for Lake Mendota, 1995-2014
Model predicted epilimnetic variables for Lake Monona, 1995-2014
Modeled predictions of epilimnetic variables for Trout Lake, 1995-2014
Modeled predictions of epilimnetic variables for Allequash Lake, 1995-2014
Modeled predictions of epilimnetic variables for Big Muskellunge Lake, 1995-2014
Modeled predictions of epilimnetic variables for Sparkling Lake, 1995-2014
Modeled predictions of hypolimnetic variables for Lake Mendota, 1995-2014
Modeled predictions of hypolimnetic variables for Lake Monona, 1995-2014
Modeled predictions of hypolimnetic variables for Trout Lake, 1995-2014
Modeled predictions of hypolimnetic variables for Allequash Lake, 1995-2014
Modeled predictions of hypolimnetic variables for Big Muskellunge Lake, 1995-2014
Modeled predictions of hypolimnetic variables for Sparkling Lake, 1995-2014
Model driving data for Lake Mendota, 1995-2014
Model driving data for Lake Monona, 1995-2014
Model driving data for Trout Lake, 1995-2014
Model driving data for Allequash Lake, 1995-2014
Model driving data for Big Muskellunge Lake, 1995-2014
Model driving data for Sparkling Lake, 1995-2014
other calculated information for Lake Mendota that is part of model output, 1995-2014
other calculated information for Lake Monona that is part of model output, 1995-2014
other calculated information for Trout Lake that is part of model output, 1995-2014
other calculated information for Allequash Lake that is part of model output, 1995-2014
other calculated information for Big Muskellunge Lake that is part of model output, 1995-2014
other calculated information for Sparkling Lake that is part of model output, 1995-2014