...
At the predefined reporting point locations (either fixed or basin-representative) further detailed information is provided about the evolution of the forecast signal.
Point information
The first table in the popup window (Figure 2) 'Point information' provides metadata information of the station (Figure 2). These are the station ID and also an internal ID (Point ID), the station name (if available), country, basin and river names, provided coordinates and also coordinates (lat/lon) and upstream area in two flavours, the provided ones and also the LISFLOOD coordinates and upstream areariver network equivalent. The provided coordinates and upstream area are from the users as those represent the real river gauge location. These are available only for the fixed points (sometimes provided upstream area is missing). For the basin-representative points, however, only the LISFLOOD coordinates and upstream area are available, as these points were defined solely on the simulated LISFLOOD river network. The fixed reporting points have a Point ID in the metadata table , which starts starting with 'SI', while the basin-representative points starts starting with 'SR'.
Hydrograph
Next in the popup window is the hydrograph, which graphically summarises the climatological, antecedent and forecast conditions.
The left half of the plot, left of the horizontal dotted line, which indicates the forecast start date, shows the past. The black dots (connected by black line) indicate the so-called water balance, the proxi observations, which are produced as a LISFLOOD simulation forced with either gridded observations in EFAS, or ERA5 reanalysis fields in GloFAS. These black dots show the simulated reality of the river discharge conditions, as close as the simulations can go go at the actual periods (months in seasonal and weeks in sub-seasonal).
These black dots are added to the hydrographs retrospectively, after each week (in sub-seasonal) or month (in seasonal) passes and the weekly or monthly mean proxi-observed river discharge becomes available. This means, users are encouraged to go back and check previous forecasts to see how well the earlier forecasts predicted the anomalies.
The right half of the plot covers the forecast horizon, in the displayed example in Figure 2 and 3 this means 7 lead times of 7 calendar month from August to February the next year.
Figure 2. Example snapshot of the reporting point pop-up window product (for a seasonal forecast).
a)
| b)
| c)
|
Figure 3. Different interpretation helps (a-b-c) for the sub-seasonal and seasonal hydrographs.