RTOFS Forecast vs. GHRSST Data (Time Series)
RTOFS Forecast vs. NDBC Buoys (Time Series)
RTOFS Forecast vs. Argo Floats (Time Series) Description: Mean Error (i.e., Bias) is a measure of the average difference between model forecasts and observations. If the bias is above 0.0 line, it means that the RTOFS temperature forecast valid on that date was too hot. If the bias is below 0.0 line, it means that the RTOFS temperature forecast valid on that date was too cold. If the bias is equal to 0.0, it means that the RTOFS temperature forecast valid on that date was neither too hot nor too cold. 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: Mean Error (i.e., Bias) is a measure of the average difference between model forecasts and observations. If the bias is above 0.0 line, it means that RTOFS temperature forecasts at that particular forecast length are typically too hot. If the bias is below 0.0 line, it means that the RTOFS temperature forecasts at that particular forecast length are typically too cold. If the bias is equal to 0.0, it means that the RTOFS forecasts at that particular forecast length are typically neither too hot nor too cold. Forecast lengths (i.e., forecast lead times) are shown along the x-axis.