The Use of GPS to Validate NWP Systems: The HIRLAM Model

Abstract

A meteorological synoptic situation using Global Positioning System (GPS) observations and a numerical weather prediction (NWP) model in the vicinity of the Madrid Sierra, Spain, between 2 and 15 December 1996 has been studied. The experiment was characterized by high precipitable water (PW) values associated to rainfall events. The PW was estimated at the level of 1 mm with 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 in 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 Ϫ0.4 mm (GPS-derived PW higher), and a root-mean-square (rms) difference of 2 mm (relative agreement of 85%), which is in agreement 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 increase when extending the forecast range up to a bias of Ϫ1.2 mm and an rms of 3 mm (relative agreement of 78%) for the longest forecast range studied, which is 24 h.Radiosonde profiles from a location near one of the sites of the GPS network have also been used to estimate PW. The PW bias and rms that result from comparing this data to the previous two methods are Ϫ1 and 1.6 mm (relative agreement of 88%) between GPS and radiosondes, and Ϫ1.2 and 1.3 mm (relative agreement of 90%) between radiosonde and HIRLAM/A.The PW estimated from GPS is probed to be an accurate measurement to validate NWP models. The study also shows that GPS measurements can detect small-scale fluctuations and therefore can be used to evaluate NWP models with finer resolution.

Water vapour variability induced by urban/rural surface heterogeneities during convective conditions

“…When taking only the two urban GPS stations into account, the same statistical scores are found ( Figure 5). The present bias (RMS difference) is larger (smaller) than found in previous comparisons between numerical simulations and GPS measurements (Yang et al, 1999;Cucurull et al, 2000).…”

An inter-comparison study to estimate zenith wet delays using VLBI, GPS, and NWP models

“…The individual PW values were averaged over 30 min intervals to obtain values that are coherently comparable with the GPS and VLBI results. The precision of the PW is about 2 mm (Cucurull and Vandenberghe, 1999). As was done with the GPS data, the 30 min time series was averaged to 3 hour values.…”

“…The forecast model is hydrostatic with Eulerian grid-point numbers and provides time series of 3 hours. The accuracy of HIRLAM's predictions of pressure fields is better than 1.5 hPa, and of the order of 15 mm for ZWD (Cucurull et al, 2000).…”

“…To estimate point values for the VLBI and GPS sites again bilinear interpolation from the four closest grid points was used. A thorough description of the HIRLAM analysis is given in Cucurull et al (2000).…”

“…al., 2000), and GPS vs. MM5 (Cucurull and Vandenberghe, 1999). To date a comparison VLBI vs. NWP as well as an inter-comparison of all three techniques (VLBI, GPS, and NWP models) is not documented in the literature.…”