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.Creator
Date Range
-
Data Download
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