Results 81 to 90 of about 510 (175)

A Global Machine Learning-based Zenith Wet Delay Forecasting Model

open access: yes, 2023
Crocetti, Laura   +3 more
openaire   +3 more sources

Troposphere delay modeling in SLR based on PMF, VMF3o, and meteorological data

open access: yesProgress in Earth and Planetary Science
Satellite laser ranging (SLR) requires accurate troposphere delay models to properly correct the observed distances to satellites and derive fundamental geodetic and geodynamic parameters.
Mateusz Drożdżewski   +1 more
doaj   +1 more source

Improving GNSS Meteorology by Fusing Measurements of Several Colocated Receivers on the Observation Level

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Zenith wet delay (ZWD) estimation is a key component for the global navigation satellite system (GNSS) meteorology. At present, the zenith hydrostatic delay can be computed with sufficient accuracy by means of empirical models, while the ZWD, which is ...
Rui Wang   +3 more
doaj   +1 more source

Multi-GNSS-Weighted Interpolated Tropospheric Delay to Improve Long-Baseline RTK Positioning. [PDF]

open access: yesSensors (Basel), 2022
Mirmohammadian F   +3 more
europepmc   +1 more source

Spatial interpolation of regional PM2.5 concentrations in China during COVID-19 incorporating multivariate data. [PDF]

open access: yesAtmos Pollut Res, 2023
Wei P   +8 more
europepmc   +1 more source

The Implementation of Precise Point Positioning (PPP): A Comprehensive Review. [PDF]

open access: yesSensors (Basel), 2023
Elsheikh M   +3 more
europepmc   +1 more source

Improved empirical zenith tropospheric wet delay models based on a novel machine learning fusion algorithm

open access: yes
Abstract Zenith tropospheric wet delay (ZWD) plays a vital role in the analysis of space geodetic observations. In recent years, machine learning methods have been increasingly applied to improve the accuracy of ZWD calculations. The most widely used approaches are random forest (RF) and back propagation neural network (BPNN) models, both of ...
Jiahao Zhang, Qin Liang, Yunqing Huang
openaire   +1 more source

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