A meteorological synoptic situation using Global Positioning System (GPS) o
bservations and a numerical weather prediction (NWP) model in the vicinity
of the Madrid Sierra, Spain, between 2 and 15 December 1996 has been studie
d. The experiment was characterized by high precipitable water (PW) values
associated to rainfall events. The PW was estimated at the level of 1 mm wi
th five GPS receivers to study the passage of a winter frontal system. The
GPS network had baselines ranging from 5 to 50 km. These observations have
been used to study the spatial and temporal variations of PW
For this same location and time period, PW calculations were carried out by
HIRLAM (High-Resolution Limited Area Modeling), the hydrostatic NWP system
operational at the Spanish National Weather Service. HIRLAM has been run i
n two modes: analysis (HIRLAM/A) and forecast (HIRLAM/F).
The comparison of PW values obtained using GPS and high-resolution HIRLAM/A
shows a PW bias of -0.4 mm (GPS-derived PW higher), and a root-mean-square
(rms) difference of 2 mm (relative agreement of 85%), which is in agreemen
t with the standard deviation of each method. A similar comparison between
GPS and the high-resolution HIRLAM/F results in a bias and rms that increas
e when extending the forecast range up to a bias of -1.2 mm and an rms of 3
mm (relative agreement of 78%) for the longest forecast range studied, whi
ch is 24 h.
Radiosonde profiles from a location near one of the sites of the GPS networ
k have also been used to estimate PW. The PW bias and rms that result from
comparing this data to the previous two methods are -1 and 1.6 mm (relative
agreement of 88%) between GPS and radiosondes, and -1.2 and 1.3 mm (relati
ve agreement of 90%) between radiosonde and HIRLAM/A.
The PW estimated from GPS is probed to be an accurate measurement to valida
te NWP models. The study also shows that GPS measurements can detect small-
scale fluctuations and therefore can be used to evaluate NWP models with fi
ner resolution.