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Concatenation of forecasts to derive a field at 12 local time everywhere. The discontinuity line represents the change of date. The stripes are taken from the forecast times specified at the bottom.


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ECMWF has developed a new interpolation method that involves performing a weighted average between the two closest timesteps. Below is a The graphical explanation of the way the below illustrates how these two methods are implemented is provided. If we extract . When extracting the time series of two locations, 1 and 2, near a change of in time, the 24 hours -hour forecast will provide provides the diurnal time for temperature (used here chosen as an example) in at those points. If we are interested our interest lies in the temperature value of temperature at 12 local time this will , it would be the prediction value of the prediction at 12 UTC for point 1 and 15 UTC for point 2 in the assumption of , assuming a 3-hour resolution forecast. The choice use of the different forecast will create forecasts creates a discontinuity in the fields, as depicted in the map. The In contrast, the new method instead will interpolate interpolates for both points between the value values at 12 UTC and the value at 15UTC by weighting 15 UTC by weighing the two temperatures by based on their closeness proximity to any available forecast. This new method provides yields a much closer agreement to with the real diurnal cycle and removes eliminates the boundary artefacts that were presented aboveartifacts depicted earlier.

 Interpolation methods to obtain a 12 local time composite fields. The "stripes" method implements a nearest neighbour approach, the "interpolation" method adopts a weighted bilinear interpolation between successive time stamps. The left-hand side figure shows the collated temperature fields for one sample day. The right-hand side figure shows the diurnal cycle for temperature in the two points indicated with “1” and “2” and the corresponding interpolated value in the two cases



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