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Table 12 - This table summarises the content of WDQMS web tool views when monitoring the timeliness of land surface observations in the near-real-time NWP module is selected in the NWP module (i.e., Near-real-time NWP: land-surface observations; Monitoring category: timeliness).Anchor Table12 Table12
Period | Variable | Monitoring Centre | Maps | Time Series Individual station |
6 hourly (00, 06, 12,18 UTC) | surface pressure 2m temperature 2m humidity 10m zonal wind 10m meridional wind | ECMWF DWD | 6-hourly mean timeliness Link to OSCAR/Surface |
(Link to OSCAR/Surface) |
surface pressure 2m temperature 2m humidity 10m zonal wind 10m meridional wind | All | Best 6-hourly mean timeliness Link to OSCAR/Surface |
(Link to OSCAR/Surface) | |
Daily | surface pressure 2m temperature 2m humidity 10m zonal wind 10m meridional wind | ECMWF DWD | Daily mean timeliness Link to OSCAR/Surface |
(Link to OSCAR/Surface) |
surface pressure 2m temperature 2m humidity 10m zonal wind 10m meridional wind | All | Best daily mean timeliness Link to OSCAR/Surface |
(Link to OSCAR/Surface) | |
Monthly | surface pressure 2m temperature 2m humidity 10m zonal wind 10m meridional wind | ECMWF DWD | Monthly mean timeliness Link to OSCAR/Surface |
(Link to OSCAR/Surface) |
surface pressure 2m temperature 2m humidity 10m zonal wind 10m meridional wind | All | Best monthly mean timeliness Link to OSCAR/Surface |
(Link to OSCAR/Surface) |
The options available in the WDQMS web tool control menu when we select to monitor the “quality” (as Monitoring category) of “surface” (in the near-real-time NWP monitoring module) are summarised in Table 13. By selecting the date, time, monitoring centre and variable, a map will show how the observing network complies with the NWP requirements set for the selected variable (see section 3.3). The map shows the stations whose observations are considered useful for NWP purposes (greenish dots), and highlights major anomalies regarding observations that deviate from the model forecasts quite significantly (orange and red dots) and exceed the limits set for “Threshold” (Table 7). Clicking on a dot on the map opens a screen with detailed information about the station data quality over time (30 days for 6-hourly and dally aggregations and 24 months for monthly aggregations), namely time series with O-B calculated for the selected interval/variable. It is worth noting that the 6-hourly intervals for a particular monitoring centre will allow to see the details of individual observations that contribute to the average value displayed on the map. This means that it is possible to check the O-B value, the usage (Status, i.e., used or not used because it was rejected by/before the assimilation) and the type of report (Type, i.e., TAC or BUFR) of a particular observation (identified by date and time) by hovering the mouse over each dot in the time series.In the monthly aggregations, both trueness and precision are integrated into a single accuracy metric (root mean square error of O-B), while in the 6-hourly and daily aggregations only trueness (average of O-B) is available. Also, the percentage of gross errors for the month is calculated in addition to the root mean square error. The “Alert” is an option in the temporal aggregation based on 5-day moving averages across the WIGOS Monitoring Centres designed to warn WMO RWCs about potential quality issues. This measure takes into account the persistence of an existing daily problem.
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