GPS meteorology project of Japan —Exploring frontiers of geodesy—

Tsuda, Toshitaka; Heki, Kosuke; Miyazaki, S.; Aonashi, Kazumasa; Hirahara, Kazuro; Nakamura, Hajime; Tobita, Mikio; Kimata, Fumiaki; Tabei, Takao; Matsushima, Takeshi; Kimura, Fujio; Satomura, Mikio; Kato, Teruyuki; Naito, Isao

doi:10.1186/bf03352172

Cited by 30 publications

(12 citation statements)

References 11 publications

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“…Because nowadays the RS80 is the most commonly used radiosonde, its performance was evaluated in operational usage, comparing it against a more sophisticated humidity sensor Wang et al 2001;Fujiwara et al 2003). Several papers have shown the GPS receiver performance in the quantification of atmospheric water vapor by comparing their results with those obtained from radiosondes and microwave radiometers (Duan et al 1996;Ware et al 1997;Rocken et al 1997;Emardson et al 2000;Tsuda et al 1998;Reigber et al 2002;Marel 2001, and others). Radiosondes and GPS receivers were used in the validation of the other humidity measurement techniques, like solar radiometers (Ingold et al 2000) and humidity sounding satellites (Wolfe and Gutman 2000), and were also used in experiments with intensive water vapor observation periods to describe and improve the accuracy of water vapor measurements.…”

Section: Introductionmentioning

confidence: 99%

Intercomparison of Integrated Water Vapor Estimates from Multisensors in the Amazonian Region

Sapucci

Machado

Monico

et al. 2007

Journal of Atmospheric and Oceanic Technology

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Water vapor is an atmospheric component of major interest in atmospheric science because it affects the energy budget and plays a key role in several atmospheric processes. The Amazonian region is one of the most humid on the planet, and land use change is able to affect the hydrologic cycle in several areas and consequently to generate severe modifications in the global climate. Within this context, accessing the error associated with atmospheric humidity measurement and the validation of the integrated water vapor (IWV) quantification from different techniques is very important in this region. Using data collected during the Radiation, Cloud, and Climate Interactions in Amazonia during the Dry-to-Wet Transition Season (RACCI/DRY-TO-WET), an experiment carried out in southwestern Amazonia in 2002, this paper presents quality analysis of IWV measurements from RS80 radiosondes, a suite of GPS receivers, an Aerosol Robotic Network (AERONET) solar radiometer, and humidity sounding from the Humidity Sounder for Brazil (HSB) aboard the Aqua satellite. When compared to RS80 IWV values, the root-mean-square (RMS) from the AERONET and GPS results are of the order of 2.7 and 3.8 kg m Ϫ2, respectively. The difference generated between IWV from the GPS receiver and RS80 during the daytime was larger than that of the nighttime period because of the combination of the influence of high ionospheric activity during the RACCI experiment and a daytime drier bias from the RS80.

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Section: Introductionmentioning

confidence: 99%

Intercomparison of Integrated Water Vapor Estimates from Multisensors in the Amazonian Region

Sapucci

Machado

Monico

et al. 2007

Journal of Atmospheric and Oceanic Technology

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“…If the path is vertical, i.e., the elevation angle is equal to 90 • , then the zenith tropospheric delay is minimum and ranges from 1.9 to 2.8 m [1,2]. The oblique tropospheric delay can reach several tens of meters [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…In this connection, it is undoubtedly interesting to study the wide opportunities of using radio signals of global positioning systems GPS and GLONASS. In the USA, Japan and Western Europe, numerous studies deal with measurements of variations in three-dimensional distributions of the water vapor content in the troposphere, which are performed by ground-based GPS receivers (see, e.g., [1][2][3][4][5]). It was shown that the data of GPS receivers are a tool for tropospheric studies having a large time resolution [5], whereas the spatial resolution depends on the receiver distribution density.…”

Section: Introductionmentioning

confidence: 99%

Sensing of the structure of the radio wave refractivity in the troposphere by a network of satellite navigation system receivers in the city of Kazan

Khutorova

Teptin

Vassilyev

et al. 2011

Radiophys Quantum El

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We present the results of an experimental study of the structure of the radio-wave refractivity and its dynamics by a network of seven ground-based GPS and GLONASS receivers in Kazan, Russia. It is shown that the remote sensing results agree well with the data of weather stations, radio sounding, and reanalysis. The standard deviation of the refractivity value, which are obtained using the sensing results from the radio sounding data amounts to 2% of the average value at altitudes of up to 500 m. It is found that the refractivity structure has overnight variations, as well as and mesoscale spatial and temporal variability.

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“…The GPS measures 3-D coordinates of continuous-recording GPS sites with high temporal but low spatial resolution. The best spatial resolution currently achieved is about 25 km for the GPS Earth Observation Network in Japan [2] and 10-25 km for the Southern California Integrated GPS Network (SCIGN) in some areas of southern California [3]. DInSAR, on the other hand, measures the total deformation between two acquisition scenes projected in the line of sight (LOS) (direction between satellite and point on the ground) with high spatial resolution over a wide area, but low temporal resolution.…”

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confidence: 99%

Application of DInSAR-GPS Optimization for Derivation of Fine-Scale Surface Motion Maps of Southern California

Samsonov

Tiampo

Rundle

et al. 2007

IEEE Trans. Geosci. Remote Sensing

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Abstract-A method based on random field theory and GibbsMarkov random fields equivalency within Bayesian statistical framework is used to derive 3-D surface motion maps from sparse global positioning system (GPS) measurements and differential interferometric synthetic aperture radar (DInSAR) interferogram in the southern California region. The minimization of the Gibbs energy function is performed analytically, which is possible in the case when neighboring pixels are considered independent. The problem is well posed and the solution is unique and stable and not biased by the continuity condition. The technique produces a 3-D field containing estimates of surface motion on the spatial scale of the DInSAR image, over a given time period, complete with error estimates. Significant improvement in the accuracy of the vertical component and moderate improvement in the accuracy of the horizontal components of velocity are achieved in comparison with the GPS data alone. The method can be expanded to account for other available data sets, such as additional interferograms, lidar, or leveling data, in order to achieve even higher accuracy.Index Terms-Bayesian statistic, differential interferometric synthetic aperture radar (DInSAR), global positioning system (GPS), Markov random field.

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GPS meteorology project of Japan —Exploring frontiers of geodesy—

Cited by 30 publications

References 11 publications

Intercomparison of Integrated Water Vapor Estimates from Multisensors in the Amazonian Region

Intercomparison of Integrated Water Vapor Estimates from Multisensors in the Amazonian Region

Sensing of the structure of the radio wave refractivity in the troposphere by a network of satellite navigation system receivers in the city of Kazan

Application of DInSAR-GPS Optimization for Derivation of Fine-Scale Surface Motion Maps of Southern California

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