Sentence examples for of each forecast from inspiring English sources

That's a 13percentt cut from the midpoint of the range of each forecast.

From here, the segments of each forecast are like haiku poems: intense, compressed, full of something living and changing, but so still in their composure: "Viking, North Utsire, westerly, backing southerly, or south-westerly five to seven, perhaps gale 8 later, wintry showers, good occasionally poor".

The errors of each forecast sequence are in one row, and the values are provided from the first year to the last (fifth) year of the forecast period.

This update is also used to specify the secular variation up to spherical harmonic degree 13 for the linear extrapolation at the start of each forecast (epochs 2005.0 or 2009.0).0

This is not to say that the patterns of variability and teleconnections that are linked to these oscillations are not represented in coupled climate forecast models; all the structures are there at the beginning of each forecast.

Assigning the weights of each forecasting model is key to obtaining accurate forecasts using parallel methods because the weights indicate the importance and effectiveness of each individual component in a combined model.

Especially, due to the application of MS approach, the proposed method (blue line) tracks the real data better than the benchmark models (green & yellow lines) in the tail of each forecasting series, as shown in Fig. 2.

The tool also offers a number or percentage of statistical accuracy within each forecast, allowing users to see how confident Kayak is that its estimate is correct and will rise or stay within $20 of the current price, for example.

The cone represents the probable position of a tropical cyclone's circulation center, and is made by drawing a set of circles centered at each forecast point 12, 24, 36, 48, and 72 hours for a three-day forecast, as well as 96 and 120 hours for a five-day forecast.

Each forecast consists of a set of point predictions and 80% predictive intervals.

This involves the linguistic classification of the percentage errors ( e_{k} ) of each model forecast into ( j ) number of classes carried out under the assumption of time invariance data behaviour (Sullivan and Woodward 1994).