RTOFS Forecast vs. GHRSST Data (Time Series)
RTOFS Forecast vs. NDBC Buoys (Time Series)
RTOFS Forecast vs. Argo Floats (Time Series) Description: Root Mean Square Error (RMSE) measures the difference between model forecasts and observations. The closer that a point is to an RMSE value of 0.0, the more accurate the 120-hour temperature forecast was on a particular valid date. Valid dates are shown along the x-axis.





RTOFS Forecast vs. GHRSST Data (Mean vs. Forecast Lead Time)
RTOFS Forecast vs. NDBC Buoys (Mean vs. Forecast Lead Time)
RTOFS Forecast vs. Argo Floats (Mean vs. Forecast Lead Time) Description: Root Mean Square Error (RMSE) measures the difference between model forecasts and observations. The closer that a point is to an RMSE value of 0.0, the more accurate forecasts were. Forecast lengths (i.e., forecast lead times) are shown along the x-axis. The shorter the forcast length, the smaller the RMSE (i.e., the better the forecast).