Results 61 to 70 of about 1,516 (192)
Abstract The role of inherited lithospheric structures in active rift seismicity and magma intrusion remains a key uncertainty in continental breakup dynamics. We investigate the January 2025 Northern Main Ethiopian Rift swarm using constrained 3‐D gravity inversion and D‐InSAR observations to characterize crustal architecture, seismicity, and active ...
Denberu Besfat, Tilahun Mammo
wiley +1 more source
Abstract Real‐time water vapor monitoring is critical for meteorological applications such as weather forecasting and nowcasting. However, accurate real‐time retrieval of precipitable water vapor (PWV) from Global Navigation Satellite Systems (GNSS) remains challenging, especially for GNSS stations lacking meteorological sensors.
Wenjie Yin +10 more
wiley +1 more source
Two complementary high‐ and low‐temperature experimental setups have been developed at the AILES beamline of Synchrotron SOLEIL to enable infrared and terahertz spectroscopy of submillimetric samples under extreme and well controlled pressure and temperature conditions (from 10 K to 600 K and from vacuum up to 100 GPa).
Cecilia Taverna +8 more
wiley +1 more source
Abstract High‐precision regional ionospheric correction products are essential for achieving accurate and fast‐convergence solutions in Precise Point Positioning Real‐Time Kinematic (PPP‐RTK). For users in low‐ and middle‐latitudes, PPP‐RTK server narrow‐lane (NL) ambiguity resolution (AR) typically requires more than 10 min, which largely affects the ...
Pan Li +6 more
wiley +1 more source
GRENet: GNSS‐Enhanced Radar Extrapolation Network for Precipitation Nowcasting
Abstract Accurate precipitation nowcasting is one of the most challenging tasks in atmospheric sciences. The current methods of nowcasting primarily rely on inferring precipitation from radar reflectivity, which inevitably leads to uncertainties in forecasts due to the limitations of single radar data in capturing the detailed initial conditions of ...
Cuixian Lu +7 more
wiley +1 more source
Regional Tropospheric Delay Prediction Model Based on LSTM-Enhanced Encoder Network
Precise modeling of zenith tropospheric delay (ZTD) is essential for real-time high-precision positioning in global navigation satellite systems. Due to the stochastic variability of atmospheric water vapor across different regions, tropospheric delay ...
Yuanfang Peng +5 more
doaj +1 more source
A New Zenith Tropospheric Delay Grid Product for Real-Time PPP Applications over China
Tropospheric delay is one of the major factors affecting the accuracy of electromagnetic distance measurements. To provide wide-area real-time high precision zenith tropospheric delay (ZTD), the temporal and spatial variations of ZTD with altitude were ...
Yidong Lou +5 more
doaj +1 more source
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi +3 more
wiley +1 more source
<p>The data includes the zenith total delay (ztd) values computed by three models provided by the VMF data server, namely <strong>Site-wise, Grid-wise, and GPT3</strong>, for target stations during the period from 2016 to 2020, along ...
Yao
core +1 more source
A Window‐Augmented Machine Learning Approach for Direct GNSS Precipitable Water Vapor Retrieval
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 +7 more
wiley +1 more source

