GPS Meteorology: Direct Estimation of the Absolute Value of Precipitable Water

Duan, Jingping; Bevis, Michael; Fang, Peng; Bock, Yehuda; Chiswell, Stephen M.; Businger, Steven; Rocken, Christian; Solheim, Frederick; Hove, Teresa Van; Ware, Randolph; McClusky, S.; Herring, Thomas A.; King, Robert W.

doi:10.1175/1520-0450(1996)035<0830:gmdeot>2.0.co;2

Cited by 412 publications

(277 citation statements)

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“…This estimation agrees with previous studies where uncertainties are obtained by comparison with water vapour radiometers and radiosondes (Kuo et al, 1993;Rocken et al, 1993Rocken et al, , 1995Businger et al, 1996;Duan et al, 1996;Tregoning et al, 1998).…”

Section: Uncertainty Of the Gps-based Iwvsupporting

confidence: 92%

A multi-site intercomparison of integrated water vapour observations for climate change analysis

et al. 2014

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Abstract. Water vapour plays a dominant role in the climate change debate. However, observing water vapour over a climatological time period in a consistent and homogeneous manner is challenging. On one hand, networks of groundbased instruments able to retrieve homogeneous integrated water vapour (IWV) data sets are being set up. Typical examples are Global Navigation Satellite System (GNSS) observation networks such as the International GNSS Service (IGS), with continuous GPS (Global Positioning System) observations spanning over the last 15+ years, and the AErosol RObotic NETwork (AERONET), providing long-term observations performed with standardized and well-calibrated sun photometers. On the other hand, satellite-based measurements of IWV already have a time span of over 10 years (e.g. AIRS) or are being merged to create long-term time series (e.g. GOME, SCIAMACHY, and GOME-2).This study performs an intercomparison of IWV measurements from satellite devices (in the visible, GOME/SCIAMACHY/GOME-2, and in the thermal infrared, AIRS), in situ measurements (radiosondes) and ground-based instruments (GPS, sun photometer), to assess their use in water vapour trends analysis. To this end, we selected 28 sites world-wide for which GPS observations can directly be compared with coincident satellite IWV observations, together with sun photometer and/or radiosonde measurements. The mean biases of the different techniques compared to the GPS estimates vary only between −0.3 to 0.5 mm of IWV. Nevertheless these small biases are accompanied by large standard deviations (SD), especially for the satellite instruments. In particular, we analysed the impact of clouds on the IWV agreement. The influence of specific issues for each instrument on the intercomparison is also investigated (e.g. the distance between the satellite ground pixel centre and the co-located ground-based station, the satellite scan angle, daytime/nighttime differences). Furthermore, we checked if the properties of the IWV scatter plots between these different instruments are dependent on the geography and/or altitude of the station. For all considered instruments, the only dependency clearly detected is with latitude: the SD of the IWV observations with respect to the GPS IWV retrievals decreases with increasing latitude and decreasing mean IWV.

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Section: Uncertainty Of the Gps-based Iwvsupporting

confidence: 92%

A multi-site intercomparison of integrated water vapour observations for climate change analysis

et al. 2014

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“…The technique of using the Global Positioning System (GPS) to determine the amount of integrated precipitable water vapour (IPWV) has been demonstrated by, for example, Duan et al (1996). The IPWV is the amount of water vapour represented by the height of the equivalent column of liquid water.…”

Section: Introductionmentioning

confidence: 99%

On the relation between the wet delay and the integrated precipitable water vapour in the European atmosphere

Emardson

Derks

2000

Meteorological Applications

114

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“…This trapped radiation causes temperatures to increase. As the temperatures increase, the air can sustain a larger amount of WV, thus magnifying the greenhouse effect (Duan et al, 1996). Since WV is the most variable component of the troposphere, investigation of its distribution and motion is of great importance in meteorology and climatology (Soden et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…The most common ones utilize radiosondes (Kley et al, 2000;Soden et al, 2004;Miloshevich et al, 2006), different techniques of GPS meteorology (Bevis et al, 1992(Bevis et al, , 1994Duan et al, 1996;Ware and Alber, 1997;Hagemann and Bengtsson, 2003;Vedel et al, 2004;Heise et al, 2009;Guerova et al, 2013;Hordyniec et al, 2015) or measurements from remote sensing satellites (Velden et al, 1997;Cresswell et al, 1999;Jiang et al, 2012). Radiosondes offer an essential component of the global observing system due to their extended lifetime and broad geographic coverage (Kley et al, 2000).…”

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confidence: 99%

“…Geophysicists and geodesists have developed methods for estimating the degree to which signals propagating from GPS satellites to ground-based GPS receivers are delayed by atmospheric WV (Wdowinski and Eriksson, 2009). This delay is parameterized in terms of a time-varying zenith wet delay (ZWD) that is recovered by stochastic filtering of the GPS data (Bevis et al, 1992(Bevis et al, , 1994Duan et al, 1996). Currently, GNSS meteorology can provide continuous remote monitoring with high temporal and spatial resolution of the WV in the troposphere as long as the pressure and temperature are measured at the observation sites.…”

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confidence: 99%

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Combining Meteosat-10 satellite image data with GPS tropospheric path delays to estimate regional integrated water vapor (IWV) distribution

Leontiev

Reuveni

2017

Atmos. Meas. Tech.

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Abstract. Using GPS satellites signals, we can study different processes and coupling mechanisms that can help us understand the physical conditions in the lower atmosphere, which might lead or act as proxies for severe weather events such as extreme storms and flooding. GPS signals received by ground stations are multi-purpose and can also provide estimates of tropospheric zenith delays, which can be converted into accurate integrated water vapor (IWV) observations using collocated pressure and temperature measurements on the ground. Here, we present for the first time the use of Israel's dense regional GPS network for extracting tropospheric zenith path delays combined with near-realtime Meteosat-10 water vapor (WV) and surface temperature pixel intensity values (7.3 and 10.8 µm channels, respectively) in order to assess whether it is possible to obtain absolute IWV (kg m −2 ) distribution. The results show good agreement between the absolute values obtained from our triangulation strategy based solely on GPS zenith total delays (ZTD) and Meteosat-10 surface temperature data compared with available radiosonde IWV absolute values. The presented strategy can provide high temporal and special IWV resolution, which is needed as part of the accurate and comprehensive observation data integrated in modern data assimilation systems and is required for increasing the accuracy of regional numerical weather prediction systems forecast.

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GPS Meteorology: Direct Estimation of the Absolute Value of Precipitable Water

Cited by 412 publications

References 0 publications

A multi-site intercomparison of integrated water vapour observations for climate change analysis

A multi-site intercomparison of integrated water vapour observations for climate change analysis

On the relation between the wet delay and the integrated precipitable water vapour in the European atmosphere

Combining Meteosat-10 satellite image data with GPS tropospheric path delays to estimate regional integrated water vapor (IWV) distribution

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