Results 41 to 50 of about 5,434 (212)

Effects of the High-Order Ionospheric Delay on GPS-Based Tropospheric Parameter Estimations in Turkey

Remote Sensing, 2020
The tropospheric delay and gradients can be estimated using Global Positioning System (GPS) observations after removing the ionospheric delay, which has been widely used for atmospheric studies and forecasting.
Volkan Akgul, Gokhan Gurbuz, Senol Hakan Kutoglu, Shuanggen Jin   +3 more
doaj   +1 more source

A Comprehensive Evaluation of Key Tropospheric Parameters from ERA5 and MERRA-2 Reanalysis Products Using Radiosonde Data and GNSS Measurements

Remote Sensing, 2021
Tropospheric delay is a major error source in the Global Navigation Satellite System (GNSS), and the weighted mean temperature (Tm) is a key parameter in precipitable water vapor (PWV) retrieval. Although reanalysis products like the National Centers for
Lijie Guo, Liangke Huang, Junyu Li, Lilong Liu, Ling Huang, Bolin Fu, Shaofeng Xie, Hongchang He, Chao Ren   +8 more
doaj   +1 more source

Astrometry and geodesy with radio interferometry: experiments, models, results

, 1997
Summarizes current status of radio interferometry at radio frequencies between Earth-based receivers, for astrometric and geodetic applications. Emphasizes theoretical models of VLBI observables that are required to extract results at the present ...
Aoki, S., Argus, D. F., Argus, D. F., Argus, D. F., Baader, H.-R., Bare, C., Bartel, N., Bassiri, S., Batty, M. J., Bolton, J. G., Bowring, B. R., Brosche, P., Brosche, P., Brosche, P., Brosche, P., Broten, N. W., Burke, B. F., Carr, T. D., Carter, W. E., Cartwright, D. E., Chao, B. F., Chao, B. F., Charlot, P., Charlot, P., Charlot, P., Chen, G., Christopher S. Jacobs, Clark, T. A., Clark, T. A., Cohen, M. H., Cohen, M. H., Davidson, J. M., Davis, J. L., DeMets, C., DeMets, C., Dreyer, J. L. E., Edge, D. O., Einstein, A., Einstein, A., Elgered, G., Fairhead, L., Fallon, F. W., Fang, M., Fey, A. L., Fich, M., Folkner, W. M., Freedman, A. P., Fu, L. L., Fukushima, T., Fukushima, T., Gardner, C. S., Gardner, C. S., Gaspar, P., Gilbert, F., Gipson, J. M., Gross, R. S., Gwinn, C. R., Gwinn, C. R., Haas, R., Hartmann, T., Hartmann, T., Hartmann, T., Hellings, R. W., Henstock, D. R., Herring, T. A., Herring, T. A., Herring, T. A., Herring, T. A., Hinteregger, H. F., Hjellming, R. M., Ho, C. M., Hosokawa, M., Hubble, E. P., Jacobs, C. S., Jansky, K. G., Jansky, K. G., John L. Fanselow, Johnston, K. J., Kellermann, K. I., Kerr, F. J., Kinoshita, H., Kinoshita, H., Kogut, A., Kovalevsky, J., Le Provost, C., Lebach, D. E., Lestrade, J.-F., Lestrade, J.-F., Lieske, J. H., Linfield, R. P., Ma, C., Ma, C., MacDoran, P. F., MacMillan, D. S., MacMillan, D. S., MacMillan, D. S., Marcaide, J. M., Marini, J. W., Mathews, P. M., Mathews, P. M., Mathews, P. M., May, J., Minster, J. B., Mitrovica, J. X., Moran, J. M., Morgan, P. J., Moyer, T. D., Napier, P. J., Naudet, C. J., Niell, A. E., Ojars J. Sovers, Ong, K. M., Pagiatakis, S. D., Patnaik, A., Peltier, W. R., Piner, B. G., Polatidis, A. G., Pyne, T., Rabbel, W., Ray, J. R., Ray, J. R., Ray, R. D., Reber, G., Reber, G., Reid, M. J., Rius, A., Robertson, D. S., Robertson, D. S., Robertson, D. S., Robertson, D. S., Robertson, D. S., Rogers, A. E. E., Rogers, A. E. E., Rosen, R. D., Scherneck, H. G., Schmidt, M., Seidelmann, P. K., Seiler, U., Shahid-Saless, B., Shapiro, I. I., Shapiro, I. I., Smith, E. K., Sonett, C. P., Souchay, J., Sovers, O. J., Sovers, O. J., Sovers, O. J., Standish, E. M., Taylor, G. B., Teitelbaum, L. P., Thakkar, D. D., Thayer, G. D., Treuhaft, R. N., Treuhaft, R. N., Tushingham, A. M., van Dam, T. M., van Dam, T. M., van Vleck, J. H., Vigue, Y., Wade, C. M., Wade, C. M., Wahr, J. M., Wahr, J. M., Walter, H. G., Walter, H. G., Ward, S. N., Watkins, M. M., Webb, F. H., Williams, J. G., Williams, J. G., Williams, J. G., Wilson, B. D., Yahil, A., Yoder, C. F., Zebker, H. A., Zhu, S. Y., Zhu, S. Y.   +176 more
core   +2 more sources

Tropospheric phase delay in interferometric synthetic aperture radar estimated from meteorological model and multispectral imagery [PDF]

, 2007
ENVISAT Medium Resolution Imaging Spectrometer Instrument (MERIS) multispectral data and the mesoscale meteorological model MM5 are used to estimate the tropospheric phase delay in synthetic aperture radar (SAR) interferograms.
Avouac, Jean-Philippe, Michel, Rémi, Puysségur, Béatrice   +2 more
core   +1 more source

NSF NCAR's In Situ Sensing Facility Measurement System During the Sundowner Wind EXperiment (SWEX)

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
This paper details the Sundowner Wind Experiment (SWEX) datasets, which characterize downslope winds to advance understanding of boundary layer processes and improve wildfire research and forecasting. The comprehensive, quality‐controlled data from various atmospheric observational platforms will be invaluable for future multidisciplinary research ...
Jacquelyn C. Witte, William Brown, Leila Carvalho, Terry Hock, Steven Oncley, Matthew Paulus, Christopher Roden, John Sobtzak, Isabel Suhr, Holger Vömel   +9 more
wiley   +1 more source

Modeling and Modification of Global Positioning System Tropospheric Delay Mapping Function [PDF]

, 2008
The accuracy of Global Positioning System (GPS) measurement is determined by the sum of several sources of error, such as orbit error, satellite clock error, multipath error, receiver noise error, selective availability, ephemeris error and also ...
Sakidin, Hamzah
core  

Absolute kinematics of radio source components in the complete S5 polar cap sample. III. First wide-field high-precision astrometry at 15.4 GHz [PDF]

, 2007
We report on the first wide-field, high-precision astrometric analysis of the 13 extragalactic radio sources of the complete S5 polar cap sample at 15.4 GHz. We describe new algorithms developed to enable the use of differenced phase delays in wide-field
Beasley, Blandford, Boehm, Chao, Charlot, E. Ros, Eckart, Fey, Guirado, I. Martí-Vidal, J. C. Guirado, J. M. Marcaide, Kühr, M. A. Pérez-Torres, Marcaide, Pradel, Pérez-Torres, Pérez-Torres, Ros, Ros, Ros, Saastamoinen, Shapiro, Shepherd, Treuhaft   +24 more
core   +3 more sources

A Window‐Augmented Machine Learning Approach for Direct GNSS Precipitable Water Vapor Retrieval

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Global Navigation Satellite Systems (GNSS) provide an effective means for remote sensing of precipitable water vapor (PWV). However, conventional GNSS‐based PWV retrieval approaches rely heavily on auxiliary meteorological parameters, which are frequently unavailable in real time, while most direct retrieval methods use station data aggregated
Zhouao Zheng, Haoyu Wang, Liangke Huang, Ziwei Li, Haojun Li, Hongxing Zhang, Junyu Li, Lilong Liu   +7 more
wiley   +1 more source

New versions of the BDS/GNSS zenith tropospheric delay model IGGtrop [PDF]

Journal of Geodesy, 2014
The initial IGGtrop model proposed for Chinese BDS (BeiDou System) is not very suitable for BDS/GNSS research and application due to its large data volume while it shows a global mean accuracy of 4 cm. New versions of the global zenith tropospheric delay (ZTD) model IGGtrop are developed through further investigation on the spatial and temporal ...
Wei Li, Yunbin Yuan, Jikun Ou, Yanju Chai, Zishen Li, Yuei-An Liou, Ningbo Wang   +6 more
openaire   +2 more sources

Zenith Tropospheric Delay Forecasting in the European Region Using the Informer–Long Short-Term Memory Networks Hybrid Prediction Model

Atmosphere
Zenith tropospheric delay (ZTD) is a significant atmospheric error that impacts the Global Navigation Satellite System (GNSS). Developing a high-precision, long-term forecasting model for ZTD can provide valuable insights into the overall trends of ...
Zhengdao Yuan, Xu Lin, Yashi Xu, Jie Zhao, Nage Du, Xiaolong Cai, Mengkui Li   +6 more
doaj   +1 more source