2.2
Operational Assimilation of GPS-IPW observations in the 13-km RUC at NCEP
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This paper will describe the design of the GPS-IPW assimilation, as follows:
- Revised moisture analysis in the RUC13, now with integrated assimilation of GPS-IPW, GOES-PW, and in situ observations, resulting in better moisture profiles.
- Quality control techniques to screen the effects of intermittent orbit busts resulting in problems with GPS, and the use of GPS data to identify rawinsonde moisture problems.
- Effect of the denser 2005 GPS-IPW network, as indicated by real-time monitoring of short-range forecast skill from RUC parallel versions with full, partial, and no GPS-IPW data.
Both the RUC20 and RUC13 analyses and forecasts with and without GPS-IPW data have been compared hourly to the GPS-IPW observations. Studies show that the GPS-IPW observations are comparable in quality to integrated (total column) RAOB observations, and that the use of hourly GPS-IPW data allows for the verification of many more analyses and forecasts from all cycles.
Investigation into the impact of the GPS-IPW data shows an improvement of the RUC20 analysis fit to the observations of approximately 1.5 mm. The RUC20 forecasts improvement (due to the inclusion of GPS-IPW) is around 1 mm for the 3-h forecast, with a slight impact persisting into the 6-h (~0.4 mm) and 9-h (~0.2 mm) forecasts. The paper will also present the same statistics for the RUC13.