Results 71 to 80 of about 711,710 (171)

GPS-Derived zenith tropospheric delay assimilation into numeric atmosphere model

, 2020
© 2014 SPIE. The total zenith tropospheric delay (ZTD) is an important parameter of the atmosphere and directly or indirectly reflects the weather processes and variations.
Khutorova O., Khutorov V., Jouravlev A., Krasnov V.   +3 more
core  

An initial investigation of the non-isotropic feature of GNSS tropospheric delay

Satellite Navigation
Tropospheric delay is a significant error source in Global Navigation Satellite Systems (GNSS) positioning. Slant Path Delay (SPD) is commonly derived by multiplying Zenith Tropospheric Delay (ZTD) with a mapping function.
Ying Xu, Zaozao Yang, Hongzhan Zhou, Fangzhao Zhang   +3 more
doaj   +1 more source

Interplay Between Deep Convection and Mesoscale Gravity Waves

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 21, 16 November 2026.
Abstract Although the association between precipitation and mesoscale gravity waves (MGWs) is well documented, the feedback mechanisms governing their amplification remain difficult to isolate. This study uses convection‐permitting numerical simulations with 1–4 km grid spacing to investigate a complex MGW event that occurred over the south‐central ...
Ananya Sen, Michael L. Kaplan, Rajan Bhandari   +2 more
wiley   +1 more source

Contrasting Responses of Winter Wheat to Waterlogged and Non‐Waterlogged Coal Mining Subsidence Revealed by Integrated DInSAR and UAV Red‐Edge Remote Sensing

Food and Energy Security, Volume 15, Issue 6, November/December 2026.
ABSTRACT This study aimed to clarify the spatiotemporal differences in the growth responses of winter wheat (Triticum aestivum L.) to mining subsidence across different growth stages and hydrological conditions in high‐groundwater‐level Coal–Grain Composite Areas (CGCAs).
Duoduo Dong, Wenqing Xing, Jiaxin Liu, Yue Yang, Tingting Li, Chao Ma   +5 more
wiley   +1 more source

Effect of GPS tropospheric delay Neill mapping function simplification [PDF]

, 2009
The mathematical modeling on the mapping function models should be revised and also simplified to improve the calculation of the GPS tropospheric delay.
Sakidin, Hamzah, Matori, Abd. Nasir, Mohamed Shariff, Abdul Rashid, Md Noorani, Mohd Salmi, Mohamed, Azhari, Abu Bakar, Mohd Rizam   +5 more
core   +1 more source

Iterative Weighted Least Squares Solution to InSAR Stratified Tropospheric Phase Delay

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Phase-elevation regression has demonstrated the ability to mitigate the impacts of vertically stratified tropospheric phase delay on interometric synthetic aperture radar (InSAR) phase observations.
Hailu Chen, Yunzhong Shen, Lei Zhang
doaj   +1 more source

Stratospheric Circulation in the Southern Hemisphere: Links to Tropical Winds, Ozone, and the Hunga Eruption—Part 1: Evidence From ERA5 Reanalysis

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 20, 28 October 2026.
Abstract The interannual variability of the Southern Hemisphere polar vortex plays a key role in ozone depletion and recovery but this variability and its teleconnection patterns are less understood than in the Northern Hemisphere. Using ERA5 reanalysis data from 1980 to 2022 (43 years), we studied the variability of the Southern Hemisphere vortex by ...
Wandi Yu, Xinyue Wang, William J. Randel, Rolando R. Garcia, Paul A. Newman, Sean Davis, Karen H. Rosenlof   +6 more
wiley   +1 more source

Mitigating Elevation-Dependent Errors in Tropospheric Delay Interpolation for InSAR Applications [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Interferometric Synthetic Aperture Radar (InSAR) is a powerful tool for detecting ground deformation with millimeter precision. However, atmospheric effects, particularly tropospheric delays, significantly degrade the accuracy of InSAR-derived ...
E. Nekouzade Chaharmahali, J. Asgari
doaj   +1 more source

A Machine Learning Framework for Objective Definition and Projection of Meteorological Seasons: An Application to the Indian Subcontinent

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 20, 28 October 2026.
Abstract Meteorological seasons are typically defined through fixed calendar intervals or region‐specific thresholds, yet such approaches fail to capture the actual variability of the annual cycle. Here we present a machine learning framework that objectively detects meteorological seasons and projects their future evolution.
Jacopo Grassi, Elisa Palazzi, Jost von Hardenberg, Paolo Davini   +3 more
wiley   +1 more source

How sensitive is tropospheric oxidation to anthropogenic emissions? [PDF]

, 2008
We use a global chemistry transport model to explore how changes in anthropogenic emissions alter ozone production and tropospheric oxidizing capacity over decadal (1990–2010) and centennial timescales (1900–2100).
Wild, Oliver, Palmer, Paul I.
core   +2 more sources