Ridgeline Plot Visualizes the Conditional Distribution of Forecasts (image) American Institute of Physics Share Print E-Mail Caption Being able to accurately forecast how much solar energy reaches the surface of the Earth is key to guiding decisions for running solar power plants and new work in the Journal of Renewable and Sustainable Energy looks to provide a standard of reference to the field. Dazhi Yang proposes an improved way to assess day-ahead solar forecasting, which combines two popular reference methods for weather forecasting, namely persistence and climatology. His approach provides a new way to gauge the skill of a forecaster. This ridgeline plot visualizes the conditional distribution of forecasts given observations at two weather stations with the lowest and highest accuracy scores. Credit Dazhi Yang Usage Restrictions Journalists may use this image only with appropriate credit. Share Print E-Mail Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.