Models
2020-06-18 13:38:09.0 [mmorahan] insert AltLabel (id: null category: primary text: Great Lakes Production Model language code: en); insert Definition (id: null text: language code: en);
2022-03-11 11:18:01.0 [tstevens] update AltLabel (Great Lake Primary Productivity Model); update PrefLabel (GLPPM); update Definition (The Great Lake Primary Productivity Model (GLPPM) was developed under the NASA ROSES Carbon Monitoring System Program as well as under Great Lakes Observing System (GLOS) funding to help determine if and when the Great Lakes act as sources or sinks of carbon to the atmosphere. The GLPPM uses satellite-retrieved concentrations of chlorophyll a, Photosynthetically Available Radiation (PAR), and light extinction from the MTRI Color Producing Agent Algorithm (CPA-A) (Shuchman et al. 2013). The model also utilizes Photosynthetic Irradiance (PI) parameters derived from years of consistent field observations to estimate phytoplankton carbon fixation rates. The model is the next generation implementation of the model proposed by Fee (1973) and Lang and Fahnenstiel (1996). The GLPPM has been tested with in situ model estimates (Fahnenstiel et al. 2010) and displayed good agreement throughout the vegetative season (Shuchman et al. 2013).); update Definition (https://www.mtu.edu/mtri/research/project-areas/environmental/water/glppm/);
The Great Lake Primary Productivity Model (GLPPM) was developed under the NASA ROSES Carbon Monitoring System Program as well as under Great Lakes Observing System (GLOS) funding to help determine if and when the Great Lakes act as sources or sinks of carbon to the atmosphere. The GLPPM uses satellite-retrieved concentrations of chlorophyll a, Photosynthetically Available Radiation (PAR), and light extinction from the MTRI Color Producing Agent Algorithm (CPA-A) (Shuchman et al. 2013). The model also utilizes Photosynthetic Irradiance (PI) parameters derived from years of consistent field observations to estimate phytoplankton carbon fixation rates. The model is the next generation implementation of the model proposed by Fee (1973) and Lang and Fahnenstiel (1996). The GLPPM has been tested with in situ model estimates (Fahnenstiel et al. 2010) and displayed good agreement throughout the vegetative season (Shuchman et al. 2013).
GLPPM