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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 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 4645-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 it is more complicated and depending on the actual run date as day of the week , including all the daily (00 UTC) forecast runs verifying in the forecast horizon, there can be 41 to 46 rows, with all these daily (00 UTC) forecast runs verifying.The . 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 bottom right corner of the probability evolution table is empty, as those lead times are not available from the earlier forecast runs.
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