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Real-time GPS precise point positioning-based precipitable water vapor estimation for rainfall monitoring and forecasting / Junbo Shi in IEEE Transactions on geoscience and remote sensing, vol 53 n° 6 (June 2015)
[article]
Titre : Real-time GPS precise point positioning-based precipitable water vapor estimation for rainfall monitoring and forecasting Type de document : Article/Communication Auteurs : Junbo Shi, Auteur ; Chaoqian Xu, Auteur ; Jiming Guo, Auteur ; Yang Gao, Auteur Année de publication : 2015 Article en page(s) : pp 3452 - 3459 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] estimation statistique
[Termes IGN] positionnement cinématique en temps réel
[Termes IGN] positionnement par GPS
[Termes IGN] positionnement ponctuel précis
[Termes IGN] précipitation
[Termes IGN] prévision météorologique
[Termes IGN] surveillance météorologique
[Termes IGN] vapeur d'eauRésumé : (Auteur) GPS-based precipitable water vapor (PWV) estimation has been proven as a cost-effective approach for numerical weather prediction. Most previous efforts focus on the performance evaluation of post-processed GPS-derived PWV estimates using International GNSS Service (IGS) satellite products with at least 3-9-h latency. However, the suggested timeliness for meteorological nowcasting is 5-30 min. Therefore, the latency has limited the GPS-based PWV estimation in real-time meteorological nowcasting. The limitation has been overcome since April 2013 when IGS released real-time GPS orbit and clock products. This becomes the focus of this paper, which investigates real-time GPS precise point positioning (PPP)-based PWV estimation and its potential for rainfall monitoring and forecasting. This paper first evaluates the accuracy of IGS CLK90 real-time orbit and clock products. Root-mean-square (RMS) errors of Numéro de notice : A2015-279 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2377041 Date de publication en ligne : 22/12/2014 En ligne : https://doi.org/10.1109/TGRS.2014.2377041 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76390
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 6 (June 2015) . - pp 3452 - 3459[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2015061 SL Revue Centre de documentation Revues en salle Disponible Predicting floods with GPS / Paul Grad in Position, n° 76 (April - May 2015)
[article]
Titre : Predicting floods with GPS Type de document : Article/Communication Auteurs : Paul Grad, Auteur Année de publication : 2015 Article en page(s) : pp 24 - 26 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] Australian Regional GPS Network ARGN
[Termes IGN] Australie
[Termes IGN] données GPS
[Termes IGN] inondation
[Termes IGN] réflectométrie par GNSS
[Termes IGN] teneur en vapeur d'eau
[Termes IGN] vapeur d'eauRésumé : (documentaliste) L'Australie recourt aux techniques spatiales comme le positionnement par GNSS et la réflectométrie par GNSS pour prévenir les inondations. Numéro de notice : A2015-370 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76845
in Position > n° 76 (April - May 2015) . - pp 24 - 26[article]Voxel-optimized regional water vapor tomography and comparison with radiosonde and numerical weather model / Biyan Chen in Journal of geodesy, vol 88 n° 7 (July 2014)
[article]
Titre : Voxel-optimized regional water vapor tomography and comparison with radiosonde and numerical weather model Type de document : Article/Communication Auteurs : Biyan Chen, Auteur ; Z. Liu, Auteur Année de publication : 2014 Article en page(s) : pp 691 - 703 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] positionnement par GNSS
[Termes IGN] tomographie
[Termes IGN] vapeur d'eau
[Termes IGN] voxelRésumé : (Auteur)Water vapor tomography has been developed as a powerful tool to model spatial and temporal distribution of atmospheric water vapor. Global navigation satellite systems (GNSS) water vapor tomography refers to the 3D structural construction of tropospheric water vapor using a large number of GNSS signals that penetrate the tomographic modeling area from different positions. The modeling area is usually discretized into a number of voxels. A major issue involved is that some voxels are not crossed by any GNSS signal rays, resulting in an undetermined solution to the tomographic system. To alleviate this problem, the number of voxels crossed by GNSS signal rays should be as large as possible. An important way to achieve this is to optimize the geographic distribution of tomographic voxels. We propose an approach to optimize voxel distribution in both vertical and horizontal domains. In the vertical domain, water vapor profiles derived from radiosonde data are exploited to identify the maximum height of tomography and the optimal vertical resolution. In the horizontal domain, the optimal horizontal distribution of voxels is obtained by searching the maximum number of ray-crossing voxels in both latitude and longitude directions. The water vapor tomography optimization procedures are implemented using GPS water vapor data from the Hong Kong Satellite Positioning Reference Station Network. The tomographic water vapor fields solved from the optimized tomographic voxels are evaluated using radiosonde data and a numerical weather prediction non-hydrostatic model (NHM) obtained for the Hong Kong station. The comparisons of tomographic integrated water vapor (IWV) with the radiosonde and NHM IWV show that RMS errors of their differences are 1.41 and 3.09 mm, respectively. Moreover, the tomographic water vapor density results are compared with those of radiosonde and NHM. The RMS error of the density differences between tomography and radiosonde data is 1.05 g/m3 . For the comparison between tomography and NHM, an overall RMS error of 1.43g/m3 is achieved. Numéro de notice : A2014-415 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-014-0713-0 Date de publication en ligne : 08/04/2014 En ligne : https://doi.org/10.1007/s00190-014-0713-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73956
in Journal of geodesy > vol 88 n° 7 (July 2014) . - pp 691 - 703[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-2014071 SL Revue Centre de documentation Revues en salle Disponible A high-quality, homogenized, global, long-term (1993–2008) DORIS precipitable water data set for climate monitoring and model verification / Olivier Bock in Journal of geophysical research : Atmospheres, vol 119 n° 12 (2014)
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Titre : A high-quality, homogenized, global, long-term (1993–2008) DORIS precipitable water data set for climate monitoring and model verification Type de document : Article/Communication Auteurs : Olivier Bock , Auteur ; Pascal Willis , Auteur ; Junhong Wang, Auteur ; Carl Mears, Auteur Année de publication : 2014 Article en page(s) : pp 7209 - 7230 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] analyse comparative
[Termes IGN] changement climatique
[Termes IGN] cohérence des données
[Termes IGN] données DORIS
[Termes IGN] erreur systématique
[Termes IGN] précipitation
[Termes IGN] prévision météorologique
[Termes IGN] retard troposphérique zénithal
[Termes IGN] série temporelle
[Termes IGN] vapeur d'eauRésumé : (auteur) For the first time a high-quality, consistent, global, long-term data set of zenith tropospheric delay (ZTD) and precipitable water (PW) is produced from Doppler orbitography radiopositioning integrated by satellite (DORIS) measurements at 81 sites. The data set was screened using a two-level procedure. First, postprocessing information is used to apply range checks and outlier checks to ZTD and formal error estimates. Second, outliers are detected by comparing DORIS ZTD with European Centre for Medium-Range Weather Forecasts reanalysis (ERA-Interim) data. These procedures reject 3% and 1% of the data, respectively. A linear drift is evidenced in the screened DORIS ZTD data compared to ERA-Interim and Global Positioning System (GPS) data, which potentially results from biases introduced by the progressive replacement of Alcatel antennas with Starec antennas. The DORIS PW is homogenized by applying a bias correction computed form comparison with ERA-Interim data each time station equipment is changed. The homogenized DORIS data are in excellent agreement with GPS data (correlation of 0.98 and standard deviation of differences of 1.5 kg m−2) and with ERA-Interim and satellite PW data (correlation > 0.95 and standard deviation of differences Numéro de notice : A2014-667 Affiliation des auteurs : LASTIG LAREG+Ext (2012-mi2018) Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1002/2013JD021124 Date de publication en ligne : 16/05/2014 En ligne : http://dx.doi.org/10.1002/2013JD021124 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78464
in Journal of geophysical research : Atmospheres > vol 119 n° 12 (2014) . - pp 7209 - 7230[article]Dynamic modeling of GNSS troposphere wet delay for estimation of precipitable water vapour / Ahmed El-Mowafy in Journal of applied geodesy, vol 8 n° 1 (April 2014)
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Titre : Dynamic modeling of GNSS troposphere wet delay for estimation of precipitable water vapour Type de document : Article/Communication Auteurs : Ahmed El-Mowafy, Auteur ; Johnny Lo, Auteur Année de publication : 2014 Article en page(s) : pp 31 - 42 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] autocorrélation
[Termes IGN] humidité de l'air
[Termes IGN] modèle dynamique
[Termes IGN] positionnement par GNSS
[Termes IGN] précipitation
[Termes IGN] propagation troposphérique
[Termes IGN] signal GNSS
[Termes IGN] vapeur d'eauRésumé : (Auteur) Proper dynamic modelling of the troposphere wet delay using the Global Navigation Satellite Systems (GNSS) measurements is important in precise point positioning and in estimation of the Precipitable Water Vapour (PWV) for weather forecast. The random walk (RW) and the first-order Gauss-Markov (GM) autocorrelation models are commonly used for this purpose. However, it was found that these models consistently underestimate the temporal correlations that exist among the troposphere wet delay. Therefore, a new dynamic model is proposed. The performance of the proposed model in following the autocorrelation of actual data is demonstrated and its impact on the near-real time estimation of the wet delay was tested and compared to that of the GM and RW models. Results showed that the proposed model outperformed these models. When the computed wet delays were used to compute PWV, their estimated valueswere very close to actual PWV data measured by radiosonde with differences less than 1 mm. Numéro de notice : A2014-271 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1515/jag-2013-0012 2 2 total citations on Dimensions. Date de publication en ligne : 08/04/2014 En ligne : https://doi.org/10.1515/jag-2013-0012 2 2 total citations on Dimensions. Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33174
in Journal of applied geodesy > vol 8 n° 1 (April 2014) . - pp 31 - 42[article]Hyperspectral-based adaptive matched filter detector error as a function of atmospheric water vapor estimation / Allan W. Yarbrough in IEEE Transactions on geoscience and remote sensing, vol 52 n° 4 (April 2014)PermalinkImproved one/multi-parameter models that consider seasonal and geographic variations for estimating weighted mean temperature in ground-based GPS meteorology / Yi Bin Yao in Journal of geodesy, vol 88 n° 3 (March 2014)PermalinkWater vapor probabilistic retrieval using GNSS signals / Andrea Antonini in IEEE Transactions on geoscience and remote sensing, vol 52 n° 3 (March 2014)PermalinkMonitoring precipitable water vapor in real-time using global navigation satellite systems / Seung-Woo Lee in Journal of geodesy, vol 87 n° 10-12 (October - December 2013)PermalinkGlobal empirical model for mapping zenith wet delays onto precipitable water / Yi Bin Yao in Journal of geodesy, vol 87 n° 5 (May 2013)PermalinkAdvanced global navigation satellite systems tropospheric products for monitoring severe weather events and climate (GNSS4SWEC) / Guergana Guerova (2013)PermalinkPermalinkInterpolating atmospheric water vapor delay by incorporating terrain elevation information / B. Xu in Journal of geodesy, vol 85 n° 9 (September 2011)PermalinkThree-dimensional humidity retrieval using a network of compact microwave radiometers to correct for variations in wet tropospheric path delay in spaceborne interferometric SAR imagery / S. Sahoo in IEEE Transactions on geoscience and remote sensing, vol 49 n° 9 (September 2011)Permalink4D GPS water vapor tomography: new parameterized approaches / Donat Perler in Journal of geodesy, vol 85 n° 8 (August 2011)PermalinkL'apport des données GPS AMMA pour l'étude du cycle de l'eau de la mousson africaine / Olivier Bock in Bulletin d'information scientifique et technique de l'IGN, n° 77 (avril 2011)PermalinkThe large‐scale water cycle of the West African monsoon / Olivier Bock in Atmospheric Science Letters, vol 12 n° 1 (January - March 2011)PermalinkThe water vapour intercomparison effort in the framework of the Convective and Orographically-induced Precipitation Study: airborne-to-ground-based and airborne-to-airborne lidar systems / Rohini Bhawar in Quarterly Journal of the Royal Meteorological Society, vol 137 n° S1 (January 2011)PermalinkA case study of using Raman lidar measurements in high-accuracy GPS applications / Pierre Bosser in Journal of geodesy, vol 84 n° 4 (April 2010)PermalinkPermalinkWater vapour intercomparison effort in the frame of the Convective and Orographically‐ induced Precipitation Study / Rohini Bhawar (2009)PermalinkWest African Monsoon observed with ground-based GPS receivers during African Monsoon Multidisciplinary Analysis (AMMA) / Olivier Bock in Journal of geophysical research : Atmospheres, vol 113 n° D21 (16 November 2008)PermalinkAssessment of water budgets computed from NWP models and observational datasets during AMMA-EOP / Olivier Bock (2008)PermalinkProcessing of Raman lidar measurements for water vapor mixing ratio retrieval / Pierre Bosser (2008)PermalinkWater vapour intercomparison effort in the frame of the convective and orographically-induced precipitation study / Rohini Bhawar (2008)Permalink