Results 31 to 40 of about 1,676 (181)

Background Tropospheric Delay in Geosynchronous Synthetic Aperture Radar [PDF]

Remote Sensing, 2020
Spaceborne synthetic aperture radar (SAR) has been treated as a weather independent system for a long time. However, with the development of advanced SAR configurations, e.g., high resolution, bistatic, geosynchronous (GEO), the influence of tropospheric propagation error, which strongly depends on the weather, has begun to receive attention.
Dexin Li, Xiaoxiang Zhu 0002, Zhen Dong 0001, Anxi Yu, Yongsheng Zhang   +4 more
openaire   +2 more sources

Improvement and Comparison of Multi-Reference Station Regional Tropospheric Delay Modeling Method Considering the Effect of Height Difference

Atmosphere, 2022
Tropospheric delay information is particularly important for network RTK (Network Real-time Kinematic) positioning. Conventionally, tropospheric delay information at a virtual reference station (VRS) is obtained using the linear interpolation method (LIM)
Yifan Wang, Yakun Pu, Yunbin Yuan, Hongxing Zhang, Min Song   +4 more
doaj   +1 more source

Importance of Tropospheric Correction to C-band InSAR Measurements: Application in the 2018 Palu Earthquake

Indonesian Journal of Geography, 2022
Long-term InSAR-based observations are prone to atmospheric delay interference. The active-phase signals emitted and recorded back by sensors during imaging are easily disturbed by the electron content in the ionospheric layer and the water vapor content
Hidayat Panuntun, Leni Sophia Heliani, Wiwit Suryanto, Cecep Pratama   +3 more
doaj   +1 more source

Evaluation of Empirical Tropospheric Models Using Satellite-Tracking Tropospheric Wet Delays with Water Vapor Radiometer at Tongji, China

Sensors, 2016
An empirical tropospheric delay model, together with a mapping function, is commonly used to correct the tropospheric errors in global navigation satellite system (GNSS) processing.
Miaomiao Wang, Bofeng Li
doaj   +1 more source

Accuracy improvement of tropospheric delay correction models in space geodetic data. Case study: Egypt

Geodesy and Cartography, 2014
The tropospheric delay still remains a limiting factor to the accuracy of space based positioning techniques. The estimation of station positioning, especially height component, which is particularly important for more applications is susceptible to ...
Sobhy Abdel Monem Younes, Hafez Abbas Afify   +1 more
doaj   +1 more source

Estimating Zenith Tropospheric Delay Based on GPT2w Model [PDF]

IEEE Access, 2019
To precisely and conveniently estimate zenith tropospheric delay (ZTD), troposphere refractivity is deduced through global pressure and temperature 2w (GPT2w) model and surface meteorology devices, ZTD is estimated based on integration of refractivity in the zenith direction. When surface meteorological measurements are absent, all parameters including
Zan Liu, Xihong Chen, Qiang Liu 0001
openaire   +2 more sources

REAL-TIME TROPOSPHERIC PRODUCT ESTABLISHMENT AND ACCURACY ASSESSMENT IN CHINA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Tropospheric delay has always been an important issue in Global Navigation Satellite System (GNSS) processing. Empirical tropospheric delay models are difficult to simulate complex and volatile atmospheric environments, resulting in poor accuracy of the ...
M. Chen, M. Chen, M. Chen, J. Guo, J. Wu, J. Wu, W. Song, W. Song, D. Zhang, D. Zhang   +9 more
doaj   +1 more source

Evaluation of InSAR Tropospheric Delay Correction Methods in a Low-Latitude Alpine Canyon Region

Remote Sensing, 2023
Tropospheric delay error must be reduced during interferometric synthetic aperture radar (InSAR) measurement. Depending on different geographical environments, an appropriate correction method should be selected to improve the accuracy of InSAR ...
Yanxi Zhao, Xiaoqing Zuo, Yongfa Li, Shipeng Guo, Jinwei Bu, Qihang Yang   +5 more
doaj   +1 more source

Forecast‐Error Diagnostics in Neural Weather Models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan, Gregor Skok, Žiga Zaplotnik   +2 more
wiley   +1 more source

Tropospheric wet path-delay measurements [PDF]

IEEE Transactions on Antennas and Propagation, 1982
A dual-channel microwave radiometer measuring the sky brightness temperature at the frequencies 21.0 and 31.4 GHz, an infrared spectral hygrometer (IRSH) measuring the ratio of the radiation from the sun at the wavelengths 931 and 880 nm, and radiosondes have been used simultaneously to determine the excess path length due to water vapor (wet path ...
openaire   +1 more source