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If this happens as the tropical cyclone approaches a coastline, there may be large differences between the forecast landfall positions and actual landfall.
Differences between the forecast and average maximum and minimum temperatures, p and q, can be computed by Equations (1) and (2), respectively.
The assessment of forecast performance is performed in terms of the daily average (bias) and root-mean-square (RMS) of the differences between the forecast products and CODE final GIMs, as shown in Eqs.
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The relative error (RE) is between ± 2.4 and ± 4.3%, and the root mean square error (RMSE), which represents the arithmetic mean of the squares of the differences between the forecasts and the observations, is between 1.2 and 3.0 °C.
Green bars and associated numbers represent the difference between the forecast and verified totals.
However, wells in the Austin Chalk, a naturally fractured reservoir, show little difference between the forecast accuracy from the various DCA methods.
Hence, the difference between the forecast in Jun-1980 and the value in Jun-1979.
To accommodate these regional variations, the difference between the forecast and the observed temperature is divided by the daily normal standard deviation published by the National Center for Environmental Information (NCEI).
On row Nov-1979, we have the difference between the forecast for May-1980 and the value for May-1979.
As found by Hurst and Turner (1999) for the 1995 and 1996 eruptions of Ruapehu, the main reason for the difference between forecast and actual ash distributions was the difference between the forecast and actual wind pattern.
After five years, the RMS difference between the forecast model and the satellite field model CHAOS-2 (at 2009.5) was 85 nT, or approximately 17 nT/yr.
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