Results 51 to 60 of about 494 (132)

A Self-Supervised Uncertainty-Hybrid Machine Learning Approach for Modeling Tropospheric Zenith Wet Delay

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Zenith wet delay (ZWD) is one of the major sources of errors in the Global Navigation Satellite System (GNSS) positioning. Existing machine learning (ML) based ZWD models have limitations in their generalization capabilities and in modeling the high ...
Mohamed H. Sharouda, Weixing Zhang, Zhixiang Mo, Mohamed M. Elisy, Hongxing Sun, Mohamed Hosny, Yidong Lou   +6 more
doaj   +1 more source

Impacts of Atmospheric and Soil Droughts on Carbon and Water Fluxes in Northern European Coniferous Forests: Evidence From Eddy‐Covariance Data

Global Change Biology, Volume 32, Issue 8, August 2026.
Atmospheric and soil droughts were assessed using the SAMI and SSMI indices at northern European coniferous forest eddy‐covariance (EC) sites, and ecosystem responses were evaluated from EC flux data. The results show that soil droughts have been rare, while air moisture limitations on carbon and water fluxes occur more frequently. Atmospheric droughts
Olli Peltola, Olli‐Pekka Tikkasalo, Jari‐Pekka Nousu, Janne Rinne, Samuli Launiainen   +4 more
wiley   +1 more source

Fire–Moisture Interactions Shape Recovery Trajectories Across Temperate Vegetation Communities

Global Change Biology, Volume 32, Issue 8, August 2026.
Future recovery from fire will be governed not only by characteristics of the fire itself and those of the affected vegetation community, but also by the extent to which these characteristics interact with prevailing hydro‐climatic conditions. Favourable soil moisture conditions post‐fire increase the likelihood that ecosystems will recover to a stable
Emily K. Simpson, Glenda M. Wardle, Christopher R. Dickman, Aaron C. Greenville   +3 more
wiley   +1 more source

A New Global ZTD Forecast Model Based on Improved LSTM Neural Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Zenith tropospheric delay (ZTD), consisting of zenith hydrostatic delay (ZHD) and zenith wet delay (ZWD), is a significant contributor to errors in precise positioning using the global navigation satellite system (GNSS) precise point positioning (PPP ...
Lin He, Yibin Yao, Chaoqian Xu, Zhang Huan, Feifei Tang, Changquan Ji, Zhuoya Liu, Wentan Wu   +7 more
doaj   +1 more source

Regional Egypt tropospheric mapping function model

Alexandria Engineering Journal, 2018
It’s essential to find out the delay caused by the troposphere layer to be able to get more accurate results. The precise positioning is very essential for accurate geodetic applications e.g., Crustal deformation and military purposes.
Ahmed Nabil Mohammed, Mohamed Amin Abdelfatah, Ashraf El-Kutb Mousa, Gamal Saber El-Fiky   +3 more
doaj   +1 more source

A new vertical reduction model for enhancing the interpolation accuracy of VMF1/VMF3 tropospheric delay products [PDF]

Geoscientific Model Development
Grid-wise Vienna Mapping Functions 1 (VMF1) and Vienna Mapping Functions 3 (VMF3) tropospheric products are widely used to interpolate the a priori zenith hydrostatic delay (ZHD) and zenith wet delay (ZWD) over GNSS (Global Navigation Satellite Systems ...
P. Sun, K. Zhang, K. Zhang, D. Zhu, S. Shi, X. Liu, D. Zhao, M. Zhang, S. Wu   +8 more
doaj   +1 more source

3D Water Vapor Signature of Tropical Storms: GNSS Tomography of the 10 Most Severe Rainfall Events in Hong Kong 2015–2025

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 13, 16 July 2026.
Abstract Monitoring water vapor during extreme events is crucial for understanding atmospheric physics, as well as for improving the prediction of severe weather and enhancing early warning systems. The major gap in monitoring water vapor during extreme events lies in the limited spatial and temporal resolutions of existing techniques.
P. Mateus, D. Hui, M. Zhang, R. Fernandes, P. M. A. Miranda   +4 more
wiley   +1 more source

A High-Accuracy GNSS Tropospheric Wet Delay Forecasting Algorithm via PINN-LSTM Integration Tailored to Complex Mountainous Terrain and Urban Environments: Methodology and Validation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The rapid expansion of low-altitude uncrewed aerial system (UAS) operations in complex mountainous urban environments have created urgent demand for high spatiotemporal resolution water vapor observations to support safe flight, precise navigation, and ...
Huan Zhang, Guihua Zhang, Bao Zhang, Mengzhu Peng, Zhizhong Wang, Jin Ma, Chaoqian Xu, Yibin Yao   +7 more
doaj   +1 more source

Spatial Interpolation of GNSS Troposphere Wet Delay by a Newly Designed Artificial Neural Network Model

Applied Sciences, 2019
Global Navigation Satellite System (GNSS) signals arrive at the Earth in a nonlinear and slightly curved way due to the refraction effect caused by the troposphere. The troposphere delay of the GNSS signal consists of hydrostatic and wet parts.
Mahmut Oguz Selbesoglu
doaj   +1 more source

Enhancing winter canola integration into soybean cropping systems through relay intercropping

Agronomy Journal, Volume 118, Issue 4, July/August 2026.
Abstract Winter canola (Brassica napus L.) has the potential to enhance the sustainability of soybean‑based cropping systems when integrated as a relay‑intercropped winter oilseed. A critical factor for successful overwinter survival is timely seeding that allows sufficient rosette development before dormancy.
Marinda De Gier, François J. Tardif, Joshua Nasielski, Peter J. Smith, Sydney Meloche, Alyssa Thibodeau, Meghan Moran, Brian Caldbeck, Eric R. Page   +8 more
wiley   +1 more source