Results 61 to 70 of about 95,608 (153)

Interferometric Synthetic Aperture Radar (InSAR) for Monitoring Seasonal Snow

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract Interferometric Synthetic Aperture Radar (InSAR) offers a potential pathway for measuring seasonal snow water equivalent (SWE) and snow depth at spatial and temporal scales needed for basin‐scale hydrology. First proposed for seasonal snow more than 25 years ago, InSAR uses repeat‐pass radar phase differences to estimate changes in SWE or ...
Jack Tarricone, Ross T. Palomaki, Randall Bonnell, Zachary Hoppinen, Shadi Oveisgharan, Jorge Jorge Ruiz, Hans‐Peter Marshall, Elias J. Deeb, Carrie Vuyovich, Steven A. Margulis, Simon Yueh, Richard R. Forster, Ryan W. Webb, Daniel McGrath, Juha Lemmetyinen, Kelly Elder, Rashmi Shah, Xiaolan Xu   +17 more
wiley   +1 more source

Ionospheric Threat Model Assessment [PDF]

, 2009
This paper presents the first results of a German study (ITMA) that attempts to validate the GBAS CAT I ionosphere threat space that was developed for US CONUS.
Mayer, Christoph, Belabbas, Boubeker, Dunkel, Winfried   +2 more
core  

Present‐Day Kinematics of Continental Greece and Balkans Revealed by Sentinel‐1 InSAR Data

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 9, September 2026.
Abstract The Balkan Peninsula hosts the highest seismic activity in Europe, marked by numerous Mw6+ earthquakes in diverse tectonic settings. Assessing tectonic surface deformation is crucial to understand the forces controlling kinematics and, ultimately, constraining geodynamic models. However, because measuring slow velocity rates (a few mm/yr) with
A. Meridi, M. Métois, C. Lasserre, M.‐P. Doin, P. Durand   +4 more
wiley   +1 more source

Robust Machine Learning–Based Ionospheric Delay Grid Modeling for PPP‐RTK Under Sparse Reference Stations and Severe Geomagnetic Disturbance

Space Weather, Volume 24, Issue 9, September 2026.
Abstract Sparse reference station networks and severe geomagnetic disturbances can significantly degrade the accuracy of regional ionospheric delay modeling at the network side, thereby reducing the positioning performance of PPP‐RTK. To address this issue, this study proposes a machine learning‐based ionospheric delay grid modeling method that finely ...
Linyu He, Weiping Jiang, Hua Chen, Xingyu Zhou, Tianjun Liu, Jie He, Jie Ding   +6 more
wiley   +1 more source

GNSS Satellite Orbit Validation Using Satellite Laser Ranging [PDF]

, 2013
With a total of four new regional and global navigation sa tellite systems that have launched first satellites or even started an operational serv ice, the GNSS landscape has experienced major changes in recent years.
Steigenberger, Peter, Montenbruck, Oliver, Kirchner, Georg   +2 more
core  

Real-time GPS Ionospheric TEC Estimation over South Korea [PDF]

Journal of Astronomy and Space Sciences, 2013
Ionosphere is one of the largest error sources when the navigational signals produced by Global Positioning System (GPS) satellites are transmitted. Therefore it is very important to estimate total electron contents (TEC) in ionosphere precisely for ...
Byung-Kyu Choi, Sung-Moon Yoo, Kyoung-Min Roh, Sang-Jeong Lee   +3 more
doaj   +1 more source

The High‐Latitude Workbox for the Ionosphere (HAWK‐I): A New Toolkit for Real‐Time Specification of the Arctic Ionosphere

Space Weather, Volume 24, Issue 9, September 2026.
Abstract The high‐latitude ionosphere exhibits rapid spatial and temporal variability during geomagnetically active periods, creating persistent challenges for accurate nowcasts. The High‐latitude Workbox for the Ionosphere (HAWK‐I) is a real‐time ionosphere nowcast and specification system designed for operational deployment to address these ...
Patrick Dandenault, Clayton Cantrall, Robert Schaefer, Sebastijan Mrak, Giuseppe Romeo, Lisa Knowles, Cathryn Mitchell, Gary Bust   +7 more
wiley   +1 more source

Granger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region

Journal of Engineering and Applied Science, 2021
The total electron content (TEC) in the ionosphere widely influences Global Navigation Satellite Systems (GNSS) especially for critical applications by inducing localized positional errors in the GNSS measurements.
Sumitra Iyer, Alka Mahajan
doaj   +1 more source

Iono‐PhyTAU: A Lightweight Global Ionospheric TEC Prediction Model Based on Temporal Attention Unit and Physical Condition Constraints of the Ionosphere

Space Weather, Volume 24, Issue 9, September 2026.
Abstract Ionospheric Total Electron Content (TEC) is the primary error source causing signal delay in Global Navigation Satellite Systems (GNSS). High‐precision TEC prediction is essential for positioning, navigation, and space weather monitoring. Although deep learning models including ConvLSTM, ConvGRU, and Transformer have advanced TEC forecasting ...
Yiling Gui, Yajun Xu, Song Jia, Miaomiao Wang, Boyang Hao, Xinjie Wu   +5 more
wiley   +1 more source

Comparison of Total Electron Content Sources Over Europe During Solar Minimum and Maximum Years (2020 and 2024)

Geodetski Vestnik
In this paper, we presented a comparison of Total Electron Content (TEC) obtained from various sources: ionosondes, the IRI model, the NeQuick model, and Global Navigation Satellite Systems (GNSS).
Stefan Krstić, Miljana Todorović-Drakul, Sanja Grekulović, Dušan Petković, Oleg Odalović   +4 more
doaj   +1 more source