Results 71 to 80 of about 1,516 (192)

The VMD-Informer-BiLSTM-EAA Hybrid Model for Predicting Zenith Tropospheric Delay

Remote Sensing
Zenith Tropospheric Delay (ZTD) is a significant source of atmospheric error in the Global Navigation Satellite System (GNSS). Developing a high-accuracy ZTD prediction model is essential for both GNSS positioning and GNSS meteorology.
Zhengdao Yuan, Xu Lin, Yashi Xu, Ruiting Dai, Cong Yang, Lunwei Zhao, Yakun Han   +6 more
doaj   +1 more source

TOMO4D Operator for Assimilation of GNSS Tomography‐Derived Water Vapor Fields Into the WRFDA 4DVAR System to Improve Regional Rainfall Forecasting

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 4, April 2026.
Abstract Accurate representation of atmospheric water vapor is crucial for improving numerical weather prediction, particularly over regions with complex topography and sparse observation networks. Although assimilation of Global Navigation Satellite System (GNSS)‐derived integrated products such as zenith total delay or precipitable water vapor can ...
Arash Tayfehrostami, Yazdan Amerian, Saeed Izanlou, Majid Azadi   +3 more
wiley   +1 more source

Reduction of ZTD outliers through improved GNSS data processing and screening strategies [PDF]

, 2018
Though Global Navigation Satellite System (GNSS) data processing has been significantly improved over the years, it is still commonly observed that zenith tropospheric delay (ZTD) estimates contain many outliers which are detrimental to meteorological
K. Stepniak, P. Wielgosz, Katarzyna Stepniak, Pawel Wielgosz, Olivier Bock, O. Bock   +5 more
core   +1 more source

Modeling and Forecasting the GPS Zenith Troposphere Delay in West Antarctica Based on Different Blind Source Separation Methods and Deep Learning

Sensors, 2020
Tropospheric delay is an important error source in global positioning systems (GPS), and the water vapor retrieved from the tropospheric delay is widely used in meteorological research such as climate analysis and weather forecasting.
Qingchuan Zhang, Fei Li, Shengkai Zhang, Wenhao Li   +3 more
doaj   +1 more source

Thermally Stable, Low‐Resistance Cu Alloy Contacts for Mg3(Sb, Bi)2 Thermoelectric Materials by Two‐Step Contacting

Small Structures, Volume 7, Issue 3, March 2026.
Selection of suitable electrical contact is crucial for achieving low specific contact resistivity (ρc) at the electrode/thermoelectric (TE) material interface. Sustaining low ρc is far more critical than merely attaining a low value. Moreover, the conversion efficiency (η) and durability are often limited by unstable contact interfaces at various ...
Muhammad Fasih Aamir, Jayachandran Babu, Raju Chetty, Takao Mori   +3 more
wiley   +1 more source

Data assimilation of GPS-ZTD into the RAMS model through 3D-Var: preliminary results at the regional scale [PDF]

, 2019
The knowledge of water vapour distribution is a key element in atmospheric modeling and considerable information, also at the local scale, can be derived from the GPS-ZTD (global positioning system-Zenith total delay) data.
Marco Fortunato, Stefano Federico, Augusto Mazzoni, Elenio Avolio, Stefano Dietrich, Alessandra Mascitelli, Claudio Transerici, Rosa Claudia Torcasio, Eugenio Realini, Mattia Crespi, Mascitelli Alessandra, Transerici Claudio, Dietrich Stefano, Fortunato Marco, Mazzoni Augusto, Realini Eugenio, Crespi Mattia, Torcasio Rosa Claudia, Avolio Elenio, Federico Stefano   +19 more
core   +1 more source

Capturing Extreme Water Vapor and Instability With High‐Resolution GNSS Monitoring

Atmospheric Science Letters, Volume 27, Issue 2, February 2026.
This study used data from a high‐resolution Global Navigation Satellite System network (< 10 km spacing), including private stations, to analyze water vapor structure during a heavy rainfall event in Japan. The network captured localized extreme precipitable water vapor (> 70 mm) and a moist absolutely unstable layer near the humid core.
Mikiko Fujita
wiley   +1 more source

A method for predicting short‐time changes in fine particulate matter (PM2.5) mass concentration based on the global navigation satellite system zenith tropospheric delay

Meteorological Applications, 2020
In this study, a method of haze prediction has been developed based on zenith tropospheric delay (ZTD). The relationship between ZTD and fine particulate matter (PM2.5, the main component of haze) during hazy periods in Beijing from 2015 to 2018 was ...
Min Guo, Hanwei Zhang, Pengfei Xia
doaj   +1 more source

Zenith Tropospheric Delay Forecasting in the European Region Using the Informer–Long Short-Term Memory Networks Hybrid Prediction Model

Atmosphere
Zenith tropospheric delay (ZTD) is a significant atmospheric error that impacts the Global Navigation Satellite System (GNSS). Developing a high-precision, long-term forecasting model for ZTD can provide valuable insights into the overall trends of ...
Zhengdao Yuan, Xu Lin, Yashi Xu, Jie Zhao, Nage Du, Xiaolong Cai, Mengkui Li   +6 more
doaj   +1 more source

A Solitary, Painless Nodule on the Arm of an Adolescent Male

Pediatric Dermatology, Volume 43, Issue 5, Page 1232-1234, September/October 2026.
Ting Dan Zhang, Peter Pavlidakey, Ravi Hiremagalore   +2 more
wiley   +1 more source