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titleSeasonal and sub-seasonal product design until EFAS 5.2 and GloFAS 4.1

Suggestion to move the method description of earlier seasonal and sub-seasonal here

To be completed

Overview

In a sub-seasonal or seasonal forecast, especially at the the longer ranges, the day-to-day variability of the river flow, with prediction of the actual expected flood severities, can not be expected due to the very high uncertainties. What is possible, is to rather give an indication of the river discharge anomalies and the confidence in those predicted anomalies. As the forecast range increases, the uncertainty will also generally increase and with it the sharpness of the forecasts will gradually decrease and they will more and more replicate the climatologically expected conditions with some possible positive or negative shift (i.e. anomaly). The generation of the sub-seasonal and seasonal forecast signals and the related products is reflective of this and was designed to deliver a simple to understand categorical information for both the anomalies and the related associated uncertainties present in the forecast, very much relative to the underlying climatological distribution.

The generation of the sub-seasonal and seasonal forecast signal relies on few major steps . The process is illustrated by a flowchart in Figure 1. The forecast anomaly and uncertainty signals is derived by comparing the real time forecast (top left section in Figure 1) to the 99-value percentile climatology. The climatology is generated using reforecasts over a 20-year period, which provides range-dependent climate percentiles that change with the lead time. The climate generation is described in the bottom right corner of Figure 1. 

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Figure 1. Flowchart of the sub-seasonal and seasonal anomaly and uncertainty signal generation methodology.


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Further details of the real time forecasts, reforecasts and the generation of the climatologies are available here:

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Placeholder Description of the real time forecasts, reforecasts and climatologies as components of the CEMS-flood sub-seasonal and seasonal forecasts.

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Figure 1. Flowchart of the sub-seasonal and seasonal anomaly and uncertainty signal generation methodology.



The revised The CEMS-Flood sub-seasonal products cover calendar week periods (i.e. always Monday-Sunday), while the CEMS-Flood seasonal products are valid for whole calendar month periods. The forecast signal is derived from the relationship between the calendar weekly or monthly averaged river discharge and the climatological distribution of the same weekly- or monthly-averaged values. While this naturally works for the calendar months, the fixed calendar weekly lead times in the sub-seasonal allow the users to directly compare forecasts from different forecast runs, as the verification period is fixed onto the calendar weeks. This way, the evolution of the subsequent daily sub-seasonal forecast runs (always at 00 UTC) can be monitored by looking at the exact same verification period.

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