Description

This dataset provides corrected predictions of surface water temperature of Lake Harsha (Ohio, US) for year 2019. Corrected predictions are provided by a hybrid modeling approach that combines (a) a process-based hydrodynamic model of the lake and (b) a Gaussian Process Regression model that predicts errors of the process-based models. The Gaussian Process Regression model was trained on simulation errors provided by the process-based model during the period 2015-2018.

Parameter: Surface water temperature (oC )

Spatial resolution Temporal resolution
60 m Daily

Temporal coverage

2015 – 2019

Links

Download
Metadata

Area of interest