Ground-based GPS water vapour estimation: potential for meteorological forecasting

Baker, H.C.; Dodson, Alan; Penna, Nigel T.; Higgins, M.; Offiler, D.

doi:10.1016/s1364-6826(00)00249-2

Cited by 45 publications

(30 citation statements)

References 3 publications

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“…In the present study, the estimation of T m was based on a yearly set of radiosondes in Lisbon (Mateus et al, 2014). Several studies have shown that PWV estimates obtained from GPS are typically achieved with an accuracy of the order of 1 to 2 kg m −2 (mm) when compared with classical measurements like radiosonde, radiometer, lidar or radar (Rocken et al, 1995;Baker et al, 2001;Niell, 2001;Haase et al, 2003;Brenot et al, 2006;Snajdrova et al, 2006;Bastin et al, 2007;Jin et al, 2007;Byun and Bar-Sever, 2009;Champollion et al, 2009;Li et al, 2014), although some studies reach a bias of 3 kg m −2 or more (Tregoning et al, 1998;Bock et al, 2007;Boniface et al, 2012). The sensitivity of PWV estimation relatively to the uncertainty in κ has been estimated by Bevis et al (1994) to be of the order of 1 or 2 %.…”

Section: Gps Atmospheric Processingmentioning

confidence: 99%

“…Remote sensing of water vapour by different space-borne platforms, namely geostationary and polar orbiting sensors, also suffers from severe time and/or spatial sampling problems. In recent years, GNSS (Global Navigation Satellite System) data, mostly that associated with the more popular GPS (Global Positioning System) system, obtained from ground-based stations, started to offer an alternative image of the distribution of the vertically integrated water vapour (precipitable water vapour, PWV), and that information was found to contribute positively to atmospheric analysis for weather forecast (Bevis et al, 1994;Baker et al, 2001;Vedel et al, 2004;Bock et al, 2007;Seco et al, 2012). The rapid increase in the density of such networks in some regions has been motivating the exploration of GNSS data for other meteorological applications.…”

Section: Introductionmentioning

confidence: 99%

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On the inclusion of GPS precipitable water vapour in the nowcasting of rainfall

Benevides

Catalão

Miranda

2015

Nat. Hazards Earth Syst. Sci.

138

122

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Abstract. The temporal behaviour of precipitable water vapour (PWV) retrieved from GPS delay data is analysed in a number of case studies of intense precipitation in the Lisbon area, in the period 2010-2012 and in a continuous annual cycle of 2012 observations. Such behaviour is found to correlate positively with the probability of precipitation, especially in cases of severe rainfall. The evolution of the GPS PWV in a few stations is analysed by a least-squares fitting of a broken line tendency, made by a temporal sequence of ascents and descents over the data. It is found that most severe rainfall events occur in descending trends after a long ascending period and that the most intense events occur after steep ascents in PWV. A simple algorithm, forecasting rain in the 6 h after a steep ascent of the GPS PWV in a single station, is found to produce reasonable forecasts of the occurrence of precipitation in the nearby region, without significant misses in what concerns larger rain events, but with a substantial amount of false alarms. It is suggested that this method could be improved by the analysis of 2-D or 3-D time-varying GPS PWV fields or by its joint use with other meteorological data relevant to nowcast precipitation.

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Section: Gps Atmospheric Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the inclusion of GPS precipitable water vapour in the nowcasting of rainfall

Benevides

Catalão

Miranda

2015

Nat. Hazards Earth Syst. Sci.

138

122

View full text Add to dashboard Cite

show abstract

“…Then, the time delay due to water vapor can be separated from the total delay with the use of on-site pressure and temperature measurements. This concept was first proposed by Davis et al (1985), and subsequent studies have proved its effectiveness (Bevis et al, 1992;Baker et al, 2001;Gutman and Benjamin, 2001). From those studies, it has been shown that GPS-based meteorological information, when assimilated into Numerical Weather Prediction (NWP) as a predictor, can improve short-and long-term rainfall predictability (Gutman and Benjamin, 2001;Ha et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Comparison of atmospheric water vapor profiles obtained by GPS, MWR, and radiosonde

Park

Kim

et al. 2010

Asia-Pacific J Atmos Sci

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In studies of weather changes and, especially, in enhancing the performance of rainfall prediction, it is important to measure the water vapor distribution in the atmosphere. We estimated atmospheric water vapor profiles for fourteen days, including periods of severe weather conditions, by processing ground-based Global Positioning System (GPS) measurements and compared our results with microwave radiometer (MWR) and radiosonde (RAOB) observations. As a result, we found that the standard deviation (STD) of wet refractivity profiles between GPS with MWR was smaller than the STD between RAOB and MWR refractivities; the average STD was 9.3 mm km −1 . In particular, we found that GPS-based wet refractivities detected inversion layers close to those from MWR when the observed GPS satellites were well distributed in the azimuth and elevation angle directions. When the satellite geometry was better, the mean error of GPS wet refractivities with respect to MWR was reduced to 0.4 from 3.2 mm km −1 for altitudes lower than 3 km. In some cases, however, the precision of GPS refractivities are lower than that of RAOB ones relative to MWR results.

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“…The main advantages of GPS water vapor meteorology are the high temporal resolution of IWV retrievals, the capability of operating under all weather conditions, the absence of calibration constraints, and its relatively low cost compared to other methods. Thus GPS meteorology appears to be the most appropriate technique for accurate climate and weather predictions in the future by data assimilation [ Baker et al , 2001].…”

Section: Introductionmentioning

confidence: 99%

Multisensor analysis of integrated atmospheric water vapor over Canada and Alaska

et al. 2003

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[1] Atmospheric water vapor is a key parameter for the analysis of climatic systems (greenhouse gas effect), in particular over high latitudes where water vapor displays an important seasonal variability. The sparse spatial and temporal sampling of atmospheric water vapor observations across Canada needs to be improved. A series of instruments and methods including a 940-nm solar absorption band radiometer (R) and radiosonde (S) analysis from a numerical weather prediction model and a ground-based bi-frequency Global Positioning System (GPS) were used to evaluate the integrated atmospheric water vapor (IWV) at various sites in Canada and Alaska from a multiyear database. The IWV-R measurements were collected within the framework of the North American Sun Radiometry network (AERONET/AEROCAN). Intercomparisons between [IWV-GPS and IWV-S], [IWV-R and IWV-GPS], and [IWV-R and IWV-S]show root mean square (RMS) differences of 1.8, 1.9, and 2.2 kg m À2 , respectively. GPS meteorology appears to be the easiest approach to calibrate the solar radiometer water vapor band owing to its flexibility, and it allows us to overcome the Sun radiometry limitation in high-latitude areas like the Arctic. The sensitivity of the GPS retrieval to various parameters like GPS satellite constellation and meteorological data are discussed. The classical linear relationship between the surface temperature and the integrated weighted mean temperature profile needed for IWV-GPS retrieval may be significantly different for Arctic air masses compared with midlatitude air masses in the case of tropospheric temperature profile inversion. An ever-expanding multiyear (1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001) North American summer water vapor climatology, derived from AERONET/Canadian Sun Radiometer Network, is presented and analyzed, showing a mean value of 19.8 ± 6.1 kg m À2 and variations from 17 kg m À2 in Alaska to 23 kg m À2 in southeastern Canada. The results in Bonanza Creek, Alaska, show significant interannual variations with a peak in 1997, which may be linked to an El Niño event that occurred in the same year. Such a database may also be useful for climate model validation as shown for the Canadian Global Environmental Model (RMS difference of 3.4 kg m À2 ). In the end we show that, even if data are selected only for cloud-free atmospheres, there are no significant differences as compared with radiosonde climatology at Canadian Northwestern sites ( 3% relatively to Bonanza Creek summer mean value).

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Ground-based GPS water vapour estimation: potential for meteorological forecasting

Cited by 45 publications

References 3 publications

On the inclusion of GPS precipitable water vapour in the nowcasting of rainfall

On the inclusion of GPS precipitable water vapour in the nowcasting of rainfall

Comparison of atmospheric water vapor profiles obtained by GPS, MWR, and radiosonde

Multisensor analysis of integrated atmospheric water vapor over Canada and Alaska

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