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The river network summary map also contains the reporting points, which are labelled as example in Figure 1b. These are river locations, where detailed information is provided about the evolution of the forecast signal over the forecast horizon. There reporting points are either fixed points, which are also used in the medium-range flood products and the basin-representative points, which are selected locations, on a one point per basin basis. Further details about the basins and the representative points are available here: Placeholder CEMS-flood sub-seasonal and seasonal basins and representative stations.
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Figure 1. Example snapshots of the sub-seasonal and seasonal river network summary maps with the reporting points, animation and river pixel colours explained.
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Finally, the last part of the reporting point popup window is the probability evolution table. This table shows all the 7 anomaly categories (extreme dry to extreme wet as left to right) and the related probabilities for all the forecast lead time periods and from all the previous forecast runs that verify during the most recent forecast horizon. For the sub-seasonal, this means 5 or 6 calendar weekly forecast lead time periods, depending on which day of the week the run date is, and thus how many calendar weeks the 45-day lead time in the forecast can cover) and 7 calendar monthly periods for the seasonal. For the seasonal forecasts, there is always 7 rows with the most recent 7 seasonal forecast probabilities (as Figure 2 shows). While for the sub-seasonal, including all the daily (00 UTC) forecast runs verifying in the forecast horizon, there can be 41 to 46 rows. Always as many, as many forecast can verify in the forecast horizon of the actual real time forecast, and it again depends on which day of the week the run date is. The The bottom right corner of the probability evolution table is empty, as those lead times are not available from the earlier forecast runs.
The cell in the table are coloured, with one exception of the 7 numbers for each forecast and lead time, the dominant anomaly category.