Simulated chlorophyll-a concentrations for William H Harsha Lake using Quantile Regression Forests
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Description
This dataset provides predicted chl-a concentrations at two areas of interest of Lake Harsha (Ohio, US). Predictions are provided by a Quantile regression model trained on chl-a concentrations retrieved from multispectral satellite imagery. Training data cover the period 2015-2019.
Parameter: Chl-a (μg/l)
Spatial resolution | Temporal resolution |
Point measurement | Occasionally |
Temporal coverage
2015 – 2019
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Area of interest
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Related Datasets
- Expired Meteorological Forecasts for Harsha Lake (Exp03)
- Satellite-derived data for Harsha Lake (ExpB4)
- Continuous In situ phytoplankton data for the inflows of William H Harsha Lake (data sondes)
- Re-forecasts of chlorophyll-a concentrations for William H Harsha Lake using Random Forests
- WW-HYPE simulated data of particulate phoshporus concentrations in outflow from subbasin (William H Harsha lake)
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