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Next item in the popup window is the hydrograph, which graphically summarises the climatological, antecedent and forecast conditions (see Figure 2 and Figure 3).
Figure 2. Example snapshot of the reporting point pop-up window product (for a seasonal forecast).
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The cells in the table are not coloured, with one exception, which is the dominant of the 7 anomaly categories. That cell's number is bold and the cell is coloured by the same colour that the river pixel has on the river network summary map. As described in Placeholder CEMS-flood sub-seasonal and seasonal forecast anomaly and uncertainty computation methodology, the dominant category is determined by the rank-mean (the mean of the ensemble members' ranks in the climatological percentile distribution). This is why the coloured cell's number tend to be not the highest, like in many forecasts in the example in Figure 2' probability table. For example, although the forecast for August show a gradual progression from near normal (grey colour), the original 'Bit low' of the 7 categories, and high uncertainty (lightest grey colour of the three); to 'Extreme low' (red colour). Moreover, the number of the coloured cells is also on the increase generally, as we go towards the shorter lead times. Until the June forecast, the colours are the lightest of the three versions, highlighting high uncertainty (light orange), while in the July forecast the uncertainty drops to medium level (medium dark orange) and finally in the August forecast we arrive to the low uncertainty 'Extreme low' situation. At the same time, for all of these forecasts the more likely of the 7 categories are constantly the 'Extreme low' one with the probability values gradually increasing until it reaches 100%, so all of the 51 ensemble members are in the 'Extreme low' category. The reason why the earlier forecasts shift to the less extreme low anomalies is the larger uncertainty,